Chiru Ratnala

Aspiring Data Analyst with hands-on experience building SQL databases, Python data pipelines, and Power BI dashboards. Currently developing a full-stack mutual fund analytics platform (Bluestock Fintech) - cleaned 100,000+ records, designed a star-schema database, and wrote SQL queries with window functions to extract business insights. Skilled in data validation, statistical analysis, and predictive modeling across retail, finance, and sales datasets.

Seeking a data analyst role in applied analytics and reporting.

Data Analyst Intern at Bluestock Fintech (2026-07 – Present)

Building a mutual fund analytics platform covering 40 schemes across 10 AMCs, using Python, SQL and Power BI

• Designed and implemented a star-schema SQLite database with 6+ tables, cleaning and validating 10 real-world datasets with 100% referential integrity
• Writing analytical SQL queries and Python-based risk metrics (CAGR, Sharpe Ratio, Maximum Drawdown) to evaluate fund performance

Artificial Intelligence & Machine Learning Intern at Edunet Foundation (2025-06 – 2025-07)

• Performed EDA on 3,755 global data science salary records using Python, Pandas and Seaborn, cleaning duplicate records (~31%) and building visualizations to identify salary drivers across e.g., experience, role, company size, location.
• Built and deployed an interactive Streamlit web app using a trained ML model to predict salary class from user inputs like experience level, job title and company size and location. ()

Bachelor of Technology in Computer Science and Engineering – DNR College of Engineering & Technology (2022 – 2026)

Intermediate in M.P.C – Aditya Junior College (2020 – 2022)