Data Science Engineer - Python - ML - Fresher with Projects

Vinay Hulsurkar

**************@*****.*** LinkedIn Leetcode Codeforces GitHub +91-942******* Education

Bachelor Of Engineering – Computer Engineering Nov 2022 – June 2026 Dr. D. Y. Patil College Of Engineering And Innovation, Pune

• CGPA: 8.66 / 10.00 ( till 7th Semester )

Work Experience:

Data Science Intern, Mainflow Services & Technology Pvt Ltd ( Link ) Jan 2025 – Feb 2025 1. Built a customer segmentation model using K-Means (Scikit-learn) to group customers and support targeted marketing decisions.

2. Developed a house price prediction model using Linear Regression, improving prediction accuracy and reducing RMSE compared to the baseline. 3. Analyzed 100K+ superstore sales transactions and student performance data to uncover trends and identify key factors influencing outcomes.

Projects:

1. Personal Finance Intelligent System ( PFIS ) – ( Live ) Python, Pandas, Scikit-learn, Streamlit, Plotly

• Built and deployed a personal finance analytics web app that processes raw bank transaction data to generate insights on spending patterns, savings behaviour, and financial trends.

• Implemented transaction categorization, anomaly detection (Isolation Forest), and expense forecasting models to identify unusual transactions and estimate future spending.

• Developed interactive dashboards and a Financial Health Score (0–100) using Streamlit and Plotly to visualize financial metrics and support budget planning. 2. Stock Price Trend Analysis & Visualization – ( Link ) Python, Pandas, Matplotlib, Seaborn

• Built a stock trend analysis tool using 5+ years of historical RIL data (~50K data points) to study price movements and identify investment patterns.

• Developed time-series forecasting models and moving-average based analysis to detect short-term trends and potential trading signals.

• Created interactive visualizations with Matplotlib and Seaborn to highlight volatility zones, support/resistance levels, and seasonal patterns for easier analysis.

Skills:

• Programming: Python, JavaScript, TypeScript, SQL

• Web Development: React.js, Node.js, HTML, CSS, FastAPI

• Data Science & Machine Learning: NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, Regression, Time-Series Forecasting, NLP, EDA

• Databases & Visualization: MySQL, MongoDB, SQLite, Matplotlib, Seaborn, Streamlit

• Tools & CS Fundamentals: Git, GitHub, VS Code, Jupyter, Google Colab DSA, OOP, DBMS, OS, Computer Networks

Achievements:

• Secured Rank 1 in college, in DBMS in the university examination.

• LeetCode Contest Rating: 1591, solved 100+ problems.

• Ranked among the Top 10 in the 3rd Year university examinations.

• Awarded a full scholarship for the 4-year engineering program.