Data Science Grad @ UMass | Analytics & Data Science Professional | AI Enthusiast
Data Analyst with 2 years of Demonstrated Experience, Proficient in SQL, Python and Tableau. Expertise in creating & maintaining dashboards, data storytelling and building ML models to drive actionable insights.
Airmeet | Remote, India | 09/2022 - 09/2023
PharmEasy | Bangalore, India | 01/2022 - 06/2022
University of Massachusetts Dartmouth
09/2023 - 12/2024 (Expected) | CGPA: 4.0/4.0
VIT AP University, India
09/2018 - 09/2022 | CGPA: 3.45/4.0
Implemented hierarchical and k-means clustering analysis on 21 pharmaceutical companies using 9 key financial indicators. Applied data normalization and optimization techniques to identify three distinct company clusters (high, mid, and low performers), revealing strategic groupings based on market capitalization, profitability, and leverage metrics.
Automated ETL pipeline for Zillow housing data using AWS services (S3, Lambda, Redshift) and Apache Airflow from data extraction to data warehouse storage. Developed interactive Tableau dashboard to visualize and analyze housing market trends from processed data.
Built & Trained Random Forest model in Scikit-learn to predict flight fares with an accuracy of 87%. Extracted data from the live flight booking website called Kayak by utilizing BeautifulSoup and Selenium WebDriver in Python.
Developed an Ecommerce Database Management System, creating tables, relationships, and constraints. Implemented CRUD operations using MySQL and designed a user-friendly website UI using HTML & PHP for data input and management, enabling users to perform CRUD operations from the frontend.