Previously worked at: IT Service Companies, Product Companies, Startups
Assessment Score: 100
Educational Background: Currently pursuing a B.Tech in Computer Science Engineering with a specialization in Data Science from DY Patil International University, Pune (2020-2024).
Technical Expertise: Skilled in Python (Pandas, NumPy, Matplotlib, Scikit-learn, PyQT, Tkinter), SQL, Microsoft PowerBI, and Excel (VLOOKUP, Pivot Tables). Strong analytical and decision-making capabilities with hands-on experience in data science and machine learning.
Internship Experience: Gained valuable industry exposure through multiple internships, including roles as an AI-ML Intern at C-DAC, Data Analyst Intern at Metrix Food and Pharma, and Database Management Intern at Bennett Coleman & Co., among others. Contributed to real-time project development and database management.
Project Experience: Developed significant projects such as a solubility prediction model for drug discovery using machine learning, healthcare data analytics dashboards with Power BI, and an Inventory Management System that optimized resource distribution and cost efficiency.
Problem Solving & Innovation: Successfully implemented a variety of solutions, including a phone directory app, a profit predictor for startups, and an AI bot, all leveraging data science principles to enhance user accessibility and operational efficiency.
Collaborative Teamwork: Demonstrated strong teamwork skills while collaborating on projects, such as data visualization for HR decision-making and enhancing organizational operations through data-driven insights.