Hello, I'm

Samala Raja Sree

A Tech Enthusiast


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01.

About Me

Hello! I'm Samala Raja Sree, a recent graduate in Mathematics, Statistics & Computer Science, driven by a fascination for how data translates into real-world action.

During my Data Science Internship, I faced the steep learning curve of advanced Python and complex project workflows. Rather than stepping back, I embraced the challenge, teaching myself step-by-step through research and grit until I successfully delivered my assigned projects.

To further my expertise, I am set to begin my Master's in Data Science, AI and Digital Business at GISMA University. This next step represents my dedication to evolving with latest technological concepts and mastering the digital landscape.

02.

Work Experience

Data Science Intern

Plasmid Innovation • Oct 2024 - Dec 2024

Project Spotlight: Online Retail Recommendation System

Developed a popularity-based recommendation system to provide data-driven insights for inventory and marketing strategies.
Executed end-to-end data preprocessing on over 540k records, reducing the dataset by over 25%by systematically removing erroneous and irrelevant entries to ensure data quality.
Engineered recommendation logic that identified significant regional preference variations; for example, discovering that top product preferences in France differed by over 80% from global best-sellers.
Analyzed temporal data to reveal strong seasonal trends, showing that top-selling items during the Q4 holiday season were up to 90% different from mid-year months.
Created data visualizations with Matplotlib and Seaborn to clearly present findings for business stakeholders.

Technologies Used: Python, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, Git.

View Full Resume

03.

Some Things I’ve Built

Featured Project

BiblioVilla-Know.Renew.Readon

In this group project I engineered the backend architecture and database schema for a centralized library management system at Villa Marie Degree College. My work focused on digitizing manual records into a relational database, enabling real-time book tracking and secure user authentication for over 150+ students.

HTML/CSS
JavaScript
PHP
MySQL

Featured Project

Global Unicorn Startup Analysis

Performed exploratory data analysis on 1,000+ global startups to identify industry growth catalysts and geographic valuation trends. Visualized key metrics including "years-to-unicorn" and sector-specific investment patterns to provide data-backed market insights.