Professional data scientist with strong background in statistical analysis, machine learning, and data visualization. Skilled in Python, R, SQL, and various data processing tools, with focus on delivering actionable insights. Known for collaborative approach, adaptability, and consistently achieving impactful results in dynamic environments. Recognized for problem-solving abilities and innovative thinking in leveraging data to drive business decisions.
Data Engineering & Preprocessing
Machine Learning & Deep Learning
Data Analysis & Business Intelligence
Data Pipelines & Automation
Research & Mentorship
Machine learning
Statistical analysis
SQL databases
Scikit-learn
Neural networks
Natural language processing
Database management
Feature engineering
R programming
Sentiment analysis
Deep learning
Time series analysis
Data visualization
Python programming
Data Science Pro-Degree, Genpact
Student Score Prediction – End-to-End Machine Learning Project:
Objective: Built a machine learning model to predict student scores based on various academic and behavioral features.
Tech Stack: Python, Scikit-learn, TensorFlow, Azure, AWS, GitHub, Flask, Docker
Key Highlights:
Data Science Pro-Degree, Genpact
Internship on Machine Learning, The Sparks Foundation
Python Internship, Hewlett Packard Enterprises