'Machines learn patterns. I seek meaning'
I am a B.E. graduate in Artificial Intelligence and Data Science with a passion for transforming
ideas into purposeful AI solutions. My academic journey has sparked a deep interest in the
intersection of Data Analytics, Machine Learning, and Generative AI, inspiring me to explore how
intelligent systems can create real-world impact.
Currently, I am upskilling through the Google Data Analytics Professional Certificate, gaining
hands-on experience in SQL, Excel, Power BI, and Python (pandas, matplotlib) to strengthen my
analytical foundation. Alongside structured analytics, I’ve worked on projects involving machine
learning, NLP, and ethical AI, including the development of a Neurospiritual AI assistant and a
stress prediction system.
I’m now actively seeking roles or collaborative opportunities where I can contribute to
data-driven innovation, apply my technical skills to solve meaningful problems, and grow as a
responsible practitioner in the evolving AI landscape.
Designed and developed a full-stack web application using ASP.NET Core MVC and ML.NET,
achieving 91% accuracy for stress level prediction based on age, gender, profession,
sleep patterns, and emotional indicators.
Integrated ML.NET models for real-time prediction, dynamic stress management
recommendations, and automated doctor consultation triggers.
Built modular service classes to ensure scalable, maintainable codebase and efficient
model updates.
Twitter Sentiment Analysis
Collected and processed Twitter data using Python (Pandas) and Excel to classify tweets
into positive, negative, and neutral sentiment categories.
Visualized sentiment distribution using Tableau pie and bar charts to reveal trends and
insights.
Applied calculated fields and table calculations in Tableau to show sentiment-wise
percentage contributions and facilitate clear dataset comparisons.
Neurospiritual AI
(Accepted at BTKS 2025)
Developed an AI-based semantic search tool that recommends Bhagavad Gita shlokas for
user-provided situations and emotional states.
Applied Mistral LLM and SentenceTransformer embeddings for NLP-driven matching of user
queries with relevant shlokas.
Implemented FAISS vector indexing for fast and scalable similarity search across large
shloka datasets.
Designed RESTful APIs to deliver real-time query results and dynamic shloka
recommendations.
IBM Certificate of Machine Learning with Python | Coursera
July 2023
Python Certificate | HackerRank
April 2024
Introduction to Business Intelligence | Infosys Springboard
August 2024
Emotion-Aware Spiritual Guidance System Using the Bhagavad Gita: Design and Development
of Neurospiritual AI
Accepted for Presentation at BTKS 2025
BIO
Education
August 2021 – Present
B.E. Artificial Intelligence & Data Science
Dr. D.Y. Patil College of Engineering, Pune CGPA: 8.99 / 10
June 2019 – June 2021
HSC (PCM)
D.Y. Patil Jr. College, Pune Score: 95%
June 2019 – June 2021
CBSE (10th)
S.N.B.P. International School, Pune Score: 94.4%
Work Experience
Nov 2024 – May 2025
Technical Trainee – Worldline
Developed full-stack modules, integrated CI/CD, and used SonarQube with GitLab +
Jenkins.
Apr 2024 – Jul 2024
Data Science Intern – DataAvengers
Built ML models using Python, NLP libraries. EDA and cleaning with Excel and SQL.
Jun 2023 – Oct 2023
AI Ethics Intern – Z-Inspection
Contributed ethical research for AI in healthcare and smart cities.
