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Head of Department

Dr.Minakshi P.Atre (View Profile)

“AI is the new electricity. Just as electricity transformed almost everything 100 years ago, I have a hard time thinking of an industry that AI will not transform in the coming years.” — Andrew Ng

Welcome to the Department of Artificial Intelligence and Data Science Engineering.

As the Head of the Department, I, Dr. Minakshi Pradeep Atre, take immense pride in leading a department that stands at the intersection of innovation, research, and technological transformation. In today’s data-driven world, Artificial Intelligence and Data Science are not just disciplines—they are powerful enablers that are reshaping industries, redefining problem-solving, and driving the next wave of digital progress.
Our department is dedicated to creating a dynamic learning ecosystem that nurtures creativity, critical thinking, and interdisciplinary collaboration. Through a carefully designed curriculum, hands-on learning experiences, and research-driven pedagogy, we equip our students with the technical expertise, analytical mindset, and ethical responsibility required to thrive in the evolving AI landscape.
We encourage our students to explore, experiment, and innovate, working closely with faculty mentors and peers to transform ideas into impactful solutions. Beyond technology, we emphasize understanding the societal and ethical implications of AI, ensuring that innovation remains responsible and sustainable.
Over the years, the AI & Data Science Department has achieved significant milestones, including impactful research publications, patents, industry collaborations, successful student placements, innovative projects, and recognition in national and international platforms. Our students and faculty continue to contribute meaningfully to advancing intelligent technologies and data-driven solutions.
We invite you to be part of this journey—where curiosity meets innovation and intelligence shapes the future.

Warm Regards,
Team AI&DS
Department of AI&DS

About Department

Artificial Intelligence and Data Science Department

Global trend in technology adoption has indicated Artificial Intelligence and Data Science (AI and DS) as one of the preferred computing platform. Business models across industries are becoming more and more data driven paving the path for adoption of AI. Industry is relying on AI and DS like never before to understand their end customer and meet their needs.

Artificial Intelligence (AI) is an integrated approach which enables computer or computer controlled robots to simulate problem solving and decision making process in a predefined context. The AI solutions are highly reliable and scalable. Proximity of approach to human intelligence makes it a preferred choice. AI systems help us manage, model, and analyze complex systems.

The field of Data science (DS) is about the collection, management, analysis and interpretation of large amounts of data with a wide range of applications. This field involves many different disciplines and tools, including statistical inference, domain knowledge (expertise), Machine Learning, data visualization, experiment design, and communication.

Advent of Industry 4.0 has showcased the synergistic integration of various established faculties of knowledge and technology. AI and DS play a very important role in this context. AI and DS being interdisciplinary branch, this program will focus on creating fundamental knowledge components constituting this domain. Students aspiring to be part of this interdisciplinary domain will benefit from the opportunity to learn and explore various cutting edge technologies. Keeping pace with the ever-changing context of technology, visionary leadership of PVGCOET & GKPIM, Pune has decided to introduce a full time, four year under graduate course specializing in Artificial Intelligence and Data Sciences (AI & DS) from Academic Year 2021-2022 with the intake capacity of 60 seats. The Department will be fully functional from A.Y. 2022-2023.

Vision of the Department —
“To become a centre of excellence for education in Artificial Intelligence and Data Science with
holistic development approach”.

Mission of the department –

  • To create a research based educational ecosystem by adopting interdisciplinary and multidisciplinary approach.
  • To impart fundamental and advanced engineering knowledge to provide sustainable solutions
    to the industry and other stakeholders.
  • To nurture social and ethical values in students for the progress of society and nation.

Program Education Objectives —

  •  PEO1: Apply problem solving skills to address the societal and environmental issues.
  • PEO2: Practice Ethical AI and become Responsible Data Scientist.
  • PEO3: Embrace lifelong learning to accommodate fast paced technical world of Artificial
    Intelligence.
  • PEO4: Exhibit interpersonal and intra-personal skills to become a leader in the domain of
    AI&DS.

PROGRAM OUTCOMES
Engineering Graduate will be able to…
PO1: Engineering Knowledge

Apply the knowledge of mathematics, science, Engineering fundamentals, and an Engineering specialization to the solution of complex Engineering problems.
PO2: Problem Analysis

Identify, formulate, review research literature, and analyze complex Engineering problems reaching substantiated conclusions using first principles of mathematics natural sciences, and Engineering sciences.
PO3: Design/Development of Solutions

Design solutions for complex Engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and Environmental considerations.
PO4: Conduct Investigations of Complex problems

Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5: Modern Tool Usage

Create, select, and apply appropriate techniques, resources, and modern Engineering and IT tools including prediction and modeling to complex Engineering activities with an understanding of the limitations.
PO6: The Engineer and Society

Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7: Environment and Sustainability

Understand the impact of the professional Engineering solutions in societal and Environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8: Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practices.
PO9: Individual and Team Work

Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10: Communication

Communicate effectively on complex Engineering activities with the Engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11: Project Management and Finance

Demonstrate knowledge and understanding of the Engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary Environments.
PO12: Life-long Learning

Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change

Program Specific Outcomes –
AI&DS Engineering graduate will

  • PSO1: Demonstrate proficiency in collecting, cleaning, and analyzing diverse datasets using state-of the-art tools and techniques
  • PSO2: Exhibit the machine learning expertise and deep learning competency to design and train neural networks for various applications
  • PSO3: Adhere to professional standards and ethical principles in their AI and data science work, respecting data privacy, confidentiality, and intellectual property rights

Faculty

Faculty List

Faculty (AY 2025-26)

Sr.No. Name of the Staff Designation Qualification Years of Experience
1  Dr Minakshi P Atre  Head of Department Ph.D.(Signal Processing)  25
2 Dr. Ravindra Sadashivrao Apare Associate Professor  Ph.D.(CS&E)
M.E.(CS&E)
B.E.(CS&E)
M.B.A. (H.R.)
23
3 Prof Vijayalaxmi Kanade Assistant Professor Phd (Pursuing)
M.Tech
22
4 Prof.Swapna Shingade Assistant Professor  M. E   12
5 Prof. Ravindra H. Mule Assistant Professor M. E.( Computer Engineering)  30 
6 Dr. Payal P. Tayade Assistant Professor  PhD (Electronics)   ME (Digital Electronics)       BE(E&TC) 10 
7 Prof. Pallavi Bangale Assistant Professor  ME  03 
8 Prof.Mrunal Buchade Assistant Professor   M.Tech (CS IT) 1
9 Prof. Krittika Goswami Assistant Professor M.E. (Computer Engineering) 07 

Department Activities

Activities: Academic Year 2023-24

Faculty Orientation Program Organized:

    • Faculty Orientation Program on Big Data Analytics and Data Science was orgranized by AI&DS Department in association with Board of Studies Computer Engineering, SPPU Pune on 26th -27th December 2023.

Session by Industry Experts:

    • Cloud Computing Hands on Session for Third year students was organized on 16th February 2024 in association with Global Payments Inc.
    • Information Security expert session for Second year students was organized on 16th February 2024 in association with Global Payments Inc.

GUEST LECTURE:

Academic Year 2023-24

1. On 25th November, 2023, Guest lecture by Mr. Mahesh Shinde from Wadia college of engineering on “Shading algorithms and applications of Computer graphics “was organized for SE students for the subject of Computer Graphics.

2. On 28th November, 2023, guest lecture was organized on the topic: “Operating System: State of the Art Review”

3. Guest lecture by Dr. Mrs. Chhaya Gosavi from Cummins college of engineering was organised on the subject OOP and overview and applications of C++ on 28/11/2023

WORKSHOP:

1. POWER BI

A workshop on Power BI  for the TE AI&DS class. The workshop was held from 09/08/2023 to 18/08/23, spanning over several days. The sessions took place from 8:00 am to 11:00 am, allowing ample time for learning and practical exercises. The workshop was facilitated by Prashant sir from Edu Plus, who brought expertise and industry insights to the training sessions. The Power BI workshop aimed to equip students with essential skills in data visualization and analysis, aligning with the curriculum’s objectives. Participants actively engaged in hands-on activities, learning how to create interactive dashboards and reports using Power BI tools.

2. AZURE Workshop

A workshop on Azure was conducted for the TE AI&DS. The workshop, led by Rashid sir from Edu Plus, was held from 11/09/2023 to 15/09/23, with sessions running from 8:00 am to 11:00 am. The primary objective of the Azure workshop was to familiarize students with cloud computing technologies and the Microsoft Azure platform specifically. Participants engaged in hands-on exercises, learning how to deploy, manage, and secure applications on Azure. Rashid sir’s expertise and industry experience added depth to the workshop, providing valuable insights into real-world applications of Azure

3.ONLINE WEB DESIGN WORKSHOP

A workshop on “Online Web Design” was conducted for the SE AI&DS class  The workshop took place on 16th September 2023, from 11:00 am to 1:00 pm. The primary aim of the workshop was to introduce students to the fundamentals of web design and development in an online

4. IOT WORKSHOP

A workshop on “Internet of Things (IoT)” was held for the SE AI&DS class. The workshop, facilitated by Mr. Dhanajay Patil and Mr. Raghav Narewadikar, Associate Software Engineers at BGSW, occurred from January 17th to January 19th, 2024, with sessions scheduled from 11:00 am to 1:00 pm. The primary objective of the IoT workshop was to introduce students to the concepts and applications of IoT technology. Participants engaged in practical exercises and demonstrations to understand IoT devices, sensors, and data communication protocols.

4. HANDS-ON WORKSHOP ON NVIDIA JESTSON NANO

A workshop titled “Hands-On Workshop on NVIDIA Jetson Nano” was conducted for the TE AI&DS class during the academic year 2023-2024. The workshop took place on December 18th, 2023, starting at 10:00 AM. Dr. M. P. Atre served as the staff coordinator, overseeing the organization and logistics of the workshop. The primary objective of the workshop was to provide students with practical experience in working with the NVIDIA Jetson Nano platform for AI and machine learning applications. Participants engaged in hands-on activities, including setting up the Jetson Nano, deploying pre-trained models, and developing custom AI projects.

5. CPP CRASH COURSE

A workshop titled “CPP Crash Course” was organized for the SE and TE AI&DS classes during the academic year 2023-2024. The workshop, conducted by Mr. Tushar B. Kute, a Data Scientist and Researcher, took place on March 4th, 2024, from 9:00 AM to 4:00 PMThe primary objective of the workshop was to provide students with an intensive crash course in C++ programming language, essential for AI and data science applications. Participants engaged in hands-on coding exercises, learning fundamental concepts and best practices in C++ programming.

6. DESIGN THINKIN GUEST SESSION

A workshop titled “Design Thinking Guest Session” was held for the TE AI&DS class during the academic year 2023-2024. The session, conducted by Sheetal Atha, an IT Leader and Innovator, took place on March 7th, 2024, from 10:00 AM to 2:00 PM. The primary objective of the session was to introduce students to the principles and methodologies of design thinking, essential for problem-solving and innovation in AI and data science. Sheetal Atha, with her extensive experience, shared practical insights and case studies to illustrate the application of design thinking in real-world scenarios. Participants engaged in interactive activities and group discussions to apply design thinking principles to various challenges.

7. FIVE DAYS YOGA AND MEDITATION SESSION

A five-day workshop on Yoga and Meditation was conducted for the TE AI&DS class during the academic year 2023-2024. The workshop, led by Ajay Waikar, a Certified Yoga Trainer, took place from March 11th to March 15th, 2024, with sessions running from 8:00 AM to 10:00 AM. Ajay Waikar guided participants through various yoga asanas, breathing exercises, and meditation techniques. For the last two days of the workshop, sessions were arranged outside the college campus, on Talaji Hills and Okayama Garden, respectively. These outdoor sessions provided students with a serene and natural environment conducive to relaxation and mindfulness

8. INDUSTRIAL VISIT- PUNE SMART CITY DEVELOPMENT CORPORATION LTD

Aligned with the ambitious Smart City Mission of the Government of India, which aims to enhance citizens’ quality of life through economic growth and technological advancements, a visit was arranged for third-year AI & DS students to Pune Smart City Development Corporation Ltd. he visit took place on Wednesday, 06th March 2024, starting from 2:30 pm onwards. The TE (AI&DS) class comprised 47 students, accompanied by faculties including Dr. Minakshi P Atre and Prof. Vijayalaxmi A Kanade. The Pune Smart City Center Corporate Office, located at Sinhagad Road, was the venue for the visit. Mr. Aatmaram Magar from L&T Construction, Smart World & Communications, was the official person contacted for the visit. During the visit, students had the opportunity to learn about the various projects and technologies being implemented under the Smart City initiative. Overall, the visit to Pune Smart City Development Corporation Ltd was a significant learning experience for the TE (AI&DS) students, aligning with the objectives of the Smart City Mission.

9. INDUSTRIAL ORIENTATION ON DATA SCIENCE

An Industrial Orientation session on Data Science was conducted for TE AI&DS students on February 14th or 15th, 2024, lasting for 4 hours and facilitated by Mr. Yogesh Murumkar from Bharat Soft Solutions. The session aimed to provide students with a comprehensive understanding of the significance of data science in today’s technology-driven world. Key concepts including data collection, cleaning, analysis, and visualization were covered to enhance students’ foundational knowledge in data science Additionally, students were made aware of various career opportunities in data science, including roles such as data analyst, data engineer, machine learning engineer, and data scientist.

STUDENT ACTIVITIES:

1. Donation at PVG Sanstha

A visit to PVG Sanstha took place during the academic year 2023-24, sponsored by Budhani Bros and Tulsi Steel Bhandar. The event occurred on 16th October 2023, at the premises of PVG Sanstha. The primary activity of the visit was a donation drive. The donation drive aimed to support the educational and welfare activities of the institution. The generous contributions from Budhani Bros and Tulsi Steel Bhandar greatly benefited PVG Sanstha. The event showcased the positive outcomes of collaboration between businesses and educational organizations for the betterment of society.

2. Meetup at Salvation Army.

In the academic year 2023-24, a meetup was organized at The Salvation Army orphanage, sponsored by Budhani Bros and Tulsi Steel Bhandar, on 16th October 2023. The event aimed to provide support and companionship to the children residing at the orphanage. Various engaging activities were planned to uplift the spirits of the children and create a positive atmosphere. The meetup facilitated interactions between the volunteers and the children. The meetup highlighted the importance of community involvement in uplifting underprivileged sections of society. The event received positive feedback from both volunteers and children, indicating its success in achieving its objectives.

3. Actively donating blood.

Students donating blood is a commendable act that contributes significantly to healthcare initiatives. The donations typically take place on campus premises or in coordination with local blood banks. Overall, student involvement in blood donation serves as a testament to the power of youth in making positive contributions to society’s well-being.

4.Students participating in hackathon.

In the academic year 2023-24, here has been a noticeable surge in students participating in hackathon competitions organized by various colleges. These events serve as platforms for students to showcase their innovative ideas and technical skills. Typically, hackathons span over a day or a weekend, challenging participants to collaborate and develop solutions to real-world problems.

 

Faculty Publications

AY 2025-26

Name of the author/s Title of Paper Journal Title / Conference Year of publication ISBN / ISSN number
Omkar Deshmukh, Krishna Shah, Atharva Nikhade, Parth Deo,Prof Vijayalaxmi Kanade Real-Time Multiplayer Competitive Coding Platform with AI-Powered Learning Support: A Comprehensive Literature Review 14th International Conference on Contemporary Engineering and Technology 2026
Dr Minakshi Pradeep Atre, Prof Rajendra Kaduskar Reminiscing about the Challenges and Coping Mechanisms of Teaching Styles during the Pandemic and Sustaining Today International Journal of Innovative Research in Technology 2026 2349-6002
Sarthak Pramod Karandikar,  Abhijeet Limbraj Suryawanshi,  Minakshi Pradeep Atre, Kabeer Ahmed Mohamed Sayeed Merchant Efficient One-Shot Attendance on the Edge: A Hybrid System for Classroom Biometrics CVCI Conference in Japan 2026
Sarthak Karandikar, Kabeer Ahmed Merchant, Minakshi Atre, Abhijeet Suryawanshi AI-Driven Multimodal Mind Mapping: A Framework for Enhanced Knowledge Modeling and Human-Computer Interaction ACAI Conference in China 2025
Vaishnavee Sanam, Heramb Patil, Dr. Minakshi Atre Interactive LoRA Steering: A User-Guided Framework for Efficient and Interpretable Machine Unlearning in Neural Networks International Journal of Computers 2025 ISSN: 2367-8895
Heramb Patil, Vaishnavee Sanam, Dr. Minakshi Atre The Sustainable AI Enterprise: Efficient Lifelong Learning for Businesses with SLoRA ICBT Cardiff, UK Conference 2025
Dr Minakshi Atre Key Role Players in Artificial Neural Networks: An Overview WSEAS Transactions on Computer Research 2025 E-ISSN: 2415-1521
Dr. Ravindra Sadashivrao Apare A Systematic Review of Denial-of-Service Attack Resilience in IEEE 802.11 Networks 10th International Conference on ICT for Sustainable Development, Springer Nature 2025 ISSN: 2367-3370
Dr. Ravindra Sadashivrao Apare Pragmatic Augmentation in Aqua Status Prediction using Hybrid Learning Techniques and Optimization 10th International Conference on ICT for Sustainable Development, Springer Nature 2025 ISSN: 2367-3370

AY 2024-25

Name of the author/s Title of Paper Journal Title / Conference Year of publication ISBN / ISSN number
Prof Vijayalaxmi Kanade Quantum-Powered Insights: Unravelling the Nexus of Quantum Computing, Machine Learning, and Quantum Machine Learning. Grenze International Journal of Engineering & Technology (GIJET) 2024 ISSN 2395-5295
Prof Vijayalaxmi Kanade, Parth Deshmukh Crane Load Fall Zone Monitoring with SAM-2 and YOLO-V11 Proceedings of Fifth International Conference on Computing and Communication Networks April 2026 DOI:https://doi.org/10.1007/978-3-032-14186-6_27
Vijayalaxmi Kanade Shruti Phutane, Yash Zagekar, Sumeet Darekar, Pratiksha Wanave SekiAto: Leveraging Language Models for Software Security Vulnerability GRENZE International Journal of Engineering and Technology 2025 ISSN:2395-5295(Online);
2395-5287(Print)
Vijayalaxmi Kanade, Raj Kanchan, Supriya Lokhande, Shrinivas Patil Doodle Recognition using ConvLSTM2D: A Machine Learning Approach GRENZE International Journal of Engineering and Technology 2025 ISSN:2395-5295(Online);
2395-5287(Print)
Swapna Shingade Study of Performance Improvement Techniques for Code Generation in Large Language Model International Research Journal of Engineering and Technology 2024 2395-0056
Shubhangi Solanke Affordable and Accessible Spirometry: A Review of Portable and AI-Driven Solutions International Conference on Multidisciplinary Research April-2025 ISBN: 978-93-48954-20-6 (http://proceeding.conferenceworld.in/ICMR-2025/29.pdf)
Shubhangi Solanke Venturiospiro: Development of AI-enhanced, Low cost portable Spirometer ICASI-2025 April-2025
Dr. Payal Tayade Study and analysis of centralized legal e-marketplace using NLP and ML for enhanced accessibility International Journal of All Research Education and Scientific Methods (IJARESM) 2025 ISSN:2455-6211
Dr. Payal Tayade Advancements and Challenges in Legal Judgment Prediction Using Artificial Intelligence: A Literature Survey International Journal of All Research Education and Scientific Methods (IJARESM) 2025 ISSN:2455-6211
Dr. Payal Tayade Design and Implementation of an Algorithm in 5G via D2D Communication. Smart Trends in Computing and Communications
(Book Chapter)
2024 https://doi.org/10.1007/978-981-97-1323-3_36. 

AY 2023-24

Name of the author/s Title of Paper Journal Title / Conference Year of publication ISBN / ISSN number
Dr. Payal Tayade Quantum based flexible secure authentication protocol (SAP) for device to device (D2D) communication Optical  Quantum Electronics  2023 0306-8919

Placements

Report – Placement, Higher Studies and Entrepreneur

Placements

Academic Year 2024-25(As on 3rd April 2026)

International Placements

AY 2024-2025

 Major Recruiters

Company Name Salary (LPA) No. of Students Placed
Dai fu ku Ltd., Japan 30 02
Daiichi Seimei 26 01
Kabushikigaisha mainabi 26 01
Hashedin by Deloitte 8.2 01
Raja Software 7 02
Insurance Padosi 7 01
Kantar Analytics 5.12 03
ithena 4 02
Coditas 4 02
Infosys 3.6 02
Maxpcsecure 3.5 01
Tech Mahindra 3.25 08

Projects

Companies offering Sponsored Projects

  • CSIR URDIP
  • L2RE CEO
  • CTO Spring Money

Result Analysis

Toppers:

ACADEMIC YEAR STUDENT NAME CLASS MARKS (%)/CGPA
2024-2025

 

DAMLE ANWESHA HARSHAL BE 10 CGPA
SHAIKH MAHEEN ABDUL RAUF 10 CGPA
DIKONDA MANASI NIRANJAN 9.93 CGPA
LONDHE ATHARVA SHRIKANT 9.93 CGPA
MANASI BHATU CHAUDHARI 9.93 CGPA
SHINDE JASWANDI PARASHRAM 9.93 CGPA
SHRUTI VAIBHAV PHUTANE 9.93 CGPA
ARORA MONISHA ANIL 9.85 CGPA
TIPRE PUSHKAR AJIT 9.85 CGPA
DESHMUKH TANVI MACHINDRA TE 9.98 CGPA
TOSHNIWAL NISHIKANT MANOJKUMAR 9.86 CGPA
DAVHARE PRIYANKA KAILAS 9.83 CGPA
PACHANGANE PRANISH SHANKAR SE 9.86 CGPA
BARBATE NISHA NITIN 9.73 CGPA
ADIVAREKAR DIVESH SHRIKRISHNA 9.59 CGPA
2023-2024 MANASI BHATU CHAUDHARI TE 9.71CGPA
DAMLE ANWESHA HARSHAL 9.57 CGPA
SHAIKH MAHEEN ABDUL RAUF 9.57CGPA
TOSHNIWAL NISHIKANT
MANOJKUMAR
SE 9.86CGPA
DHADVE ARJUN DINESH 9.73CGPA
BANAITKAR VEDANT
VASUDEO
9.59CGPA
2022-2023 DESHMUKH PARTH ASHOK SE 9.22CGPA
DAMLE ANWESHA HARSHAL 9.20CGPA
VAISHNAVEE KIRAN SANAM 9.10CGPA

Class Toppers:

Academic Year: 2024-2025
BE AI&DS

TE AI&DS

SE AI&DS

Academic Year: 2023-2024

TE AI&DS

SE AI&DS

Academic Year: 2022-2023
SE AI&DS

 

Syllabus

Syllabus

Second Year

Third Year

 

Student Association

 


 

Internship

AY 2024-25

Sr.No Industry Name of Students Class Duration
Academic Year: 2024-2025
1 Indicus Software Tanvi Limaye TE 1 Month
2 NPTEL Arjun Dhadave TE 2 Months
3 NPTEL Rudraksh Ganjoo TE 2 Months
4 NPTEL Indraneel Jadhav TE 2 Months
5 NPTEL Arjun Ajit TE 2 Months
6 iSyra Consult Develop support Srinidhi Deshpande TE 2 Months
7 Esya Networks Shravani Bankar TE 3 Months
8 Esya Networks Yash Gujar TE 3 Months
9 Edunet Foundation Aniket Raskar TE 1 Months
10 Edunet Foundation Shreyash Patkar TE 1 Month
11 Eisystem Services Prathamesh Kulkarni TE 1 Month
12 SarvaShiksha e-learning Nishikant Toshniwal TE 3 Months
13 SarvaShiksha e-learning Vedika Thorat TE 3 Months
14 SarvaShiksha e-learning Shreya Yadav TE 3 Months
15 infoPie Business Solutions Pvt.Ltd. Diyashree Devadiga TE 2 Months
16 infoPie Business Solutions Pvt.Ltd. Suryaja Angadi TE 2 Months
17 Cognifyz Shlok Dendge TE 2 Months
18 Cognifyz Akash Baviskar TE 2 Months
19 Cognifyz Swapnil Bhagwat TE 2 Months
20 Cognifyz Bhargav Bahirat TE 2 Months
21 Try Hack Me Shreyas Deshmukh TE 3 Months
22 Tata Technologies Himani Kale TE 1 Month
23 Skills IT Academy/Sanyu Infotech Pvt Ltd. Jayesh Jadhav TE 1.5 Month
24 Shooin Stars Priyanka Davhare TE 1 Month
25 Shooin Stars Mayuresh Choudhari TE 1 Month
26 inSightGen.ai Bhavesh Kotkar TE 6 Months
27 Shaurya Technosoft Pvt.Ltd. Vasudha Jagtap TE 2 Months
28 Shaurya Technosoft Pvt.Ltd. Tanisha Gundecha TE 2 Months
29 Progrentures Solution Dipak Dhumma TE 1 Month
30 KP Smart IT Solutions Rutuja Thombare TE 1 Month
31 Inti International University Vedant Banaitkar TE 2 Months
32 Cravita Technologies Swayam Edke TE 1.5 Months
33 Kshetrapati Industries Sayali Dorge TE 1.5 Months
34 College of Military Engineering Ishita Kadam TE 4 Months
35 College of Military Engineering Vyankatesh Mande TE 4 Months
36 Nihilent Limited Shubham Badhe TE 3 Months
37 Ionube Technology Pranshu Devhade TE 1.5 Months
38 Silicon Savants Aditya Londhe TE 2 Months
39 Silicon Savants Aditya Patil TE 2 Months
40 Newton’s Apple Shivraj Kolekar TE 5 Months
41 AITechnology Solutions Arya Gaikwad TE 3 Months
42 AITechnology Solutions Suyog Thigale TE 3 Months
43 TechnoHacks Nachiket Joshi TE 1 Month
44 Swytch Studio Aditya Kamble TE 12 Months
45 Navodita Infotech Pradumna Patil TE 1 Month
46 My job grow Ayush Shah TE 2 Months
47 Simplium Technologies Amay Choudhari TE 1 Month
48 Artificial Intelligence and Data Science Department, PVG’s COET & GKPIOM, Pune Kabeer Merchant TE 3 Months
49 Inti International University Swapnil Bhagwat TE 2 Months
50 NSDC-AIBIA Gayatri Badgujar TE 3 Months
51 NSDC-AIBIA Parth Deo TE 3 Months
52 NSDC-AIBIA Shrutika Giri TE 3 Months
53 NSDC-AIBIA Dhanashree Magar TE 3 Months
54  NSDC-AIBIA Omkar Deshmukh TE 3 Months
55 NSDC-AIBIA Adesh Rodiye TE 3 Months
56 NSDC-AIBIA Anvi Kore TE 3 Months
57 NSDC-AIBIA GAIKWAD BUDDHABHUSHAN SHANKAR TE 3 Months
58 NSDC-AIBIA KHOMANE ADINATH VIJAY TE 3 Months
59 NSDC-AIBIA NIKHADE ATHARVA TUSHAR TE 3 Months
60 NSDC-AIBIA PATIL MANISH DNYANESHWAR TE 3 Months
61 NSDC-AIBIA NAGUL RAHUL VISHNU TE 3 Months
62 NSDC-AIBIA WASANKAR KRUSHNALI VIVEK TE 3 Months
63 NSDC-AIBIA KADOLE YASH PRABHU TE  3 Months
64 NSDC-AIBIA HALGANE SHRIYASH SANDEEP TE 3 Months
65 NSDC-AIBIA KULKARNI PRASAD SANJEEV TE 3 Months
66 NSDC-AIBIA BARI MAYUR GANGADHAR TE 3 Months
67 NSDC-AIBIA BERAD NANDINI APPASAHEB TE 3 Months
68 NSDC-AIBIA OMBASE ATHARVA AMAR TE 3 Months
69 NSDC-AIBIA SHAH KRISHNA SANTOSH TE 3 Months
70 NSDC-AIBIA DESHMUKH TANVI MACHINDRA TE 3 Months
71 NSDC-AIBIA BRAHMAWAR ATHARVA LAKSHMAN TE 3 Months
72 NSDC-AIBIA BHANGARE SAHIL YOGESH TE 3 Months
73 Kalyani Transmissions PVt Ltd. Mahesh Jikare TE 3 Months

AY 2023-24

Sr.No Industry Name of Students Class Duration
Academic Year: 2023-2024
1 Edwise International LLP Vipul Varu TE 1 Month
2 Prayas Energy Group Manasi Choudhari TE 3 Months
3 Prayas Energy Group Harshali Devi TE 3 Months
4 Prayas Energy Group Siddhi Shah TE 3 Months
5 Prayas Energy Group Tejaswini Shete TE 3 Months
6 Prayas Energy Group Pratik Bhilore TE 3 Months
7 Prayas Energy Group Sakshi Minde TE 3 Months
8 Prayas Energy Group Anwesha Damle TE 3 Months
9 Prayas Energy Group Vaishnavee Sanam TE 3 Months
10 Prayas Energy Group Parth Deshmukh TE 3 Months
11 Finanalyze Aditya Shelke TE 2.5 Months
12 Finanalyze Shruti Phutane TE 2.5 Months
13 Finanalyze Pratiksha Wanave TE 2.5 Months
14 Finanalyze Sujit Jadhav TE 2.5 Months
15 Finanalyze Atharva Londhe TE 2.5 Months
16 Finanalyze Shrinivas Patil TE 2.5 Months
17 Finanalyze Jaswandi Shinde TE 2.5 Months
18 Finanalyze Anshul Raibole TE 2.5 Months
19 Finanalyze Supriya Lokhande TE 2.5 Months
20 Edwise International LLP Akash Pandit TE 1 Month
21 Edwise International LLP Divija Kulkarni TE 1 Month
22 Edwise International LLP Monisha Arora TE 1 Month
23 Poonawal Fincorp Atharva More TE 3 Months
24 Atruband Innovation Manasi Dikonda TE 2.5 Months
25 Atruband Innovation Maheen Shaikh TE 2.5 Months
26 Power Arc Enterprises Aryan Kate TE 2 Months
27 Brand It Up Gayatri Ambekar TE 2 Months
28 Dematadesolution Durgesh Patil TE 3 Months
29 Reboot Consultancy Solutions Aryan Inge TE 3 Months
30 Rhisome Aniket Chavan TE 1 Month
31 M-Tech Innovations Ltd Sahil Munot TE 3 Months
32 eLuminous Technologies Pvt.Ltd. Pushkar Tipre TE 6 weeks
33 Sustainfy Energy Abhijit Saundankar TE 1 Month
34 Epitage Consulting Apurva Bidkar TE 1.5 Month
35 Prodigy Infotech Ayushi Chougule TE 1 Month
36 Data Lumina Siddharth Koli TE 2 Months
37 AI&DS Department, PVG’s COET&GKPIOM,Pune Vedant Lodha TE 3 Months
38 AI&DS Department, PVG’s COET&GKPIOM,Pune Prasad Pingale TE 3 Months
39 AI&DS Department, PVG’s COET&GKPIOM,Pune Mugdha Itake TE 3 Months
40 AI&DS Department, PVG’s COET&GKPIOM,Pune Raj Kanchan TE 3 Months
41 AI&DS Department, PVG’s COET&GKPIOM,Pune Sumeet Darekar TE 3 Months
42 AI&DS Department, PVG’s COET&GKPIOM,Pune Om Pawar TE 3 Months
43 AI&DS Department, PVG’s COET&GKPIOM,Pune Tanaya Shinde TE 3 Months
44 AI&DS Department, PVG’s COET&GKPIOM,Pune Abhijit Suryawanshi TE 3 Months
45 AI&DS Department, PVG’s COET&GKPIOM,Pune Sarthak Karandikar TE 3 Months
46 AI&DS Department, PVG’s COET&GKPIOM,Pune Gayatri Mhetre TE 3 Months
47 AI&DS Department, PVG’s COET&GKPIOM,Pune Harshwardhan Ghatage TE 3 Months
48 AI&DS Department, PVG’s COET&GKPIOM,Pune Pavan Khamitkar TE 3 Months
49 AI&DS Department, PVG’s COET&GKPIOM,Pune Yash Zagekar TE 3 Months
50 AI&DS Department, PVG’s COET&GKPIOM,Pune Ojaswini Prabhune TE 3 Months
51 AI&DS Department, PVG’s COET&GKPIOM,Pune Nishat Khan TE 3 Months
52 AI&DS Department, PVG’s COET&GKPIOM,Pune Jakir Hussain TE 3 Months
53 AI&DS Department, PVG’s COET&GKPIOM,Pune Sarang Shelke TE 3 Months
54 NPTEL Piyush Borude TE 8 weeks
55 NPTEL Yashraj Gaikwad TE 8 weeks
56 NPTEL Prajwal Balte TE 8 weeks
57 NPTEL Pranav Kamble TE 8 weeks
58 NPTEL Avadhoot Kolekar TE 8 weeks
59 NPTEL Sahil Patil TE 8 weeks
60 NPTEL Ajay Awchar TE 8 weeks
61 NPTEL Juie Pachupute TE 8 weeks
62 NPTEL Prashant Mahamuni TE 8 weeks
63 NPTEL Sumeet Gaikwad TE 8 weeks
64 NPTEL Atharva Gadhave TE 8 weeks
65 NPTEL Manasi Dhawale TE 8 weeks
66 NPTEL Shivam Raina TE 8 weeks
67 NPTEL Ritesh Yadav TE 8 Weeks
68 NPTEL Shivendraraje Pol TE 8 Weeks
69 NPTEL Balaji Mhanta TE 8 Weeks

Career Opportunities

 Career Opportunities

Expertise in AI and DS enhances the employability of undergraduate engineers and opens doors to widespread opportunities like:

  • Artificial Intelligence Engineer
  • Machine Learning Engineer
  • Application Development Engineer
  • Data Analyst
  • Business Analyst
  • Data Scientist
  • Research Scientist
  • Product Analyst
  • System Analyst
  • AI Consultant