ABSTRACT
Artificial Intelligence (AI) and Data Analysis have emerged as transformative technologies that
are revolutionizing how data is processed, interpreted, and applied in decision-making. During
my internship as an AI Data Analyst at Roman Technology Pvt. Ltd., I engaged in hands-on projects
involving data preprocessing, model development, exploratory data analysis, and deriving
actionable insights for real-world datasets.
This role demanded a combination of technical knowledge and analytical thinking to ensure that
AI models could efficiently interpret trends, detect anomalies, and make predictions. Core
technologies included Python, Pandas, NumPy, Scikit-learn, and visualization tools like Matplotlib
and Seaborn. Working on business problems with real datasets, I learned how to clean and
structure data, handle missing values, build machine learning models, and visualize insights for
non-technical stakeholders.
Despite challenges like dealing with messy data and model tuning, the experience helped me
understand the real-life significance of AI and data-driven decision-making. The internship also
emphasized teamwork, communication, and agile development practices. This report elaborates
on the tools used, methodologies followed, key learnings, and the broader impact of AI in
businesses through my internship experience.
Additionally, I was exposed to data-driven strategy formulation, which gave me a deeper
appreciation for business intelligence applications. My responsibilities also included automating
workflows, reducing manual data processing, and building pipelines for smoother operations. I
worked closely with senior data scientists and mentors who provided critical feedback on model
performance and optimization. Attending regular review meetings and sprint planning sessions
improved my understanding of project lifecycle and deployment considerations. Overall, this
internship experience has not only enhanced my technical skills but also broadened my
perspective on how AI is shaping the future of industries.
I
ACKNOWLEDGEMENT
The satisfaction and euphoria that accompany the successful completion of any task would be
impossible without the mention of the people who made it possible, whose constant guidance and
encouragement crowned my efforts with success.
I have the great pleasure in expressing my deep sense of gratitude to Dr. Mohan Manghnani,
Chairman of New Horizon Educational Institutions for providing the necessary infrastructure and
creating a good environment.
I take this opportunity to express my profound gratitude to Dr. Manjunatha, Principal NHCE, for
his constant support and encouragement.
I am grateful to Dr. Anandhi R J, HoD, Dean Academics for providing us with suggestions and
solutions in the course of my project work.
I would like to thank Dr.Aravinda K, Head Of Department of Electronics and Communication
Engineering, for constantly monitoring the development of the project and setting up precise
deadline. His valuable suggestions were the key factors in the completion of project.
I would like to thank Ajay Sudhir Bale, Sr.Assistant professor Department of Electronics and
Communication Engineering, for the guidance, valuble sugessions in the completion of the project.
I also thank Mr. Karthik Rao, Manager, Rooman Technologies, for his mentorship. His constant
guidance and support helped me understand my work better, which aided in the successful
completion of the internship.
A special thanks to the teaching and non-teaching staff of the Department of Electronics and
Communication Engineering, NHCE, for their direct or indirect support during my internship.
II
CONTENTS
ACKNOWLEDGEMENT II
LIST OF FIGURES IV
LIST OF TABLES V
1. INTRODUCTION 1
2. DESCRIPTION OF ORGANIZATION 5
3. DESCRIPTION OF THE DEPARTMENT 7
4. GENERAL ROLES AND RESPONSIBILITIES 10
4.1. ROLE OF AN INTERN 10
4.2. RESPONSIBILITIES OF AN INTERN 11
5. ACTIVITIES CARRIED OUT DURING INTERNSHIP 13
6. TECHNICAL TAKEAWAYS 18
7. PROFESSIONAL TAKEAWAYS 23
8. CONCLUSION 30
APPENDIX 32
III
LIST OF FIGURES
Figure No Figure Description Page No
4.1 Roles and Responsibility 12
5.1 Data Cleaning and Preprocessing 15
7.1 Assignment Screenshot 28
IV
LIST OF TABLES
Table No Table Description Page No
5.1 Tools and Technologies Used 18
