I blend data, logic, and curiosity to build smart, useful things with Python and ML.
I’m a data science graduate with a solid foundation in machine learning, deep learning, and analytics. While I'm just starting out professionally, I’ve already worked on projects that apply these skills to real-world problems—from legal AI to healthcare and accident analysis. I enjoy turning messy data into clear insights and building solutions that actually make sense to people. I'm eager to contribute to teams where data isn’t just collected, but actually used to drive smart decisions.
B.K. Birla College of Arts, Science & Commerce Kalyan
2023 – 2025
S K Somaiya College of Science, Commerce & Arts
2020 – 2023
Built a legal AI system combining TinyLLaMA, BART, FAISS, and IndicTrans2 for answering queries, summarizing documents, recommending cases, and translating legal texts.
View ProjectTrained a CNN to classify images into cataract, glaucoma, diabetic retinopathy, and normal; deployed with Flask; achieved 85% accuracy.
View ProjectCreated a dashboard for engagement metrics like likes, shares, and views; helped guide audience-specific content strategies
View ProjectAnalyzed 300K+ accident records to identify patterns by vehicle, location, and light conditions; used slicers to support scenario based analysis
View ProjectBuilt an interactive dashboard to visualize sales, profit, and orders by category and region, enabling KPI tracking and performance insights.
View ProjectUsed Haar Cascades and CNN for real-time mask detection with 96% accuracy; added sound alerts using mixer.sound for violations.
View Project Smart Internz
4th March 2024 – 15th May 2024
Gained hands-on experience in ML, DL, and data analytics.
Built models and algorithms using Python, Pandas, and Scikit-learn.
Worked on preprocessing, feature engineering, and model tuning.
Used Git and Jira for version control and project collaboration.
Python, R, SQL, DAX
Pandas, NumPy, Matplotlib, Seaborn, Power BI, Tableau
SQL, MySQL, PostgreSQL, Oracle
Scikit-learn, TensorFlow, CNN, RNN, Classification, Regression, Clustering, Image Processing
BERT, Transformers, LLMs, Summarization, NER, Chatbots, LangChain
Tools & IDEs: Jupyter Notebook, Google Colab, Spyder IDE, Git, GitHub, Jira
Platforms & Libraries: Hugging Face, Gradio, Flask, MongoDB, Canva
HTML, CSS, PHP
Excel, PowerPoint, Word
Communication, Teamwork