Headline

Aspiring Data Scientist | ML, Time Series & Predictive Modeling | Python | Applied Projects in Finance & Forecasting

About

I build machine learning models that turn real-world data into actionable insights. Currently pursuing an M.Sc. in Data Science at DIAT Pune (SGPA: 8.45), I focus on predictive modeling, time series analysis, and data-driven problem solving using Python and SQL. My experience includes: • Forecasting stock prices using ARIMA, LSTM, and GRU, along with portfolio simulation • Building air-quality prediction models using SARIMAX and Prophet • Developing a supply-chain risk analysis pipeline using satellite data and NLP • Applying machine learning techniques to clinical datasets during my internship I enjoy working on end-to-end problems — from data cleaning and feature engineering to model building and evaluation. I am currently seeking Data Scientist roles where I can apply machine learning and analytics to solve real-world problems.

Location

Pune City

Work experience

Project Intern — National Institute of Technology Calicut at National Institute of Technology Calicut, Aug 2025 - Dec 2025 · 5 mos, Kozhikode, Kerala, India, • Built a system to detect potential threats in video data using a combination of computer vision and NLP techniques • Used YOLO (You Only Look Once) for object detection on video frames • Applied BERT (Bidirectional Encoder Representations from Transformers) to process contextual information related to detected scenes • Explored scene graph generation to understand relationships between objects in a frame • Combined visual and contextual signals to identify potentially suspicious situations • Implemented the pipeline using Python with libraries like OpenCV and deep learning frameworks

Project Intern — Palanam Technology Private Limited at Palanam Technology Pvt. Ltd., Jul 2025 - Aug 2025 · 2 mos, Delhi, India, • Built machine learning models on structured data for classification tasks • Performed feature engineering using graph-based techniques (parenclitic networks) • Applied models such as Random Forest, SVM, and Logistic Regression • Developed data processing and modeling pipelines using Python (Pandas, NumPy, Scikit-learn) • Evaluated model performance using standard metrics

Education

Master of Science, Data Science, Defence Institute of Advanced Technology (DIAT), DU, DRDO

Bachelor of Education, Mathematics, Raja Mahendra Pratap Singh university, aligarh

Public links

github: https://github.com/Princy2129