Data Science with 2+ years in Machine Learning & Predictive Modeling.
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Data Science graduate specializing in predictive modeling and interactive visualization. Proficient in Python, SQL, and machine learning frameworks to deliver end-to-end analytical solutions. Delivered freelance ML deployments and secured 1st prize in competitive hackathons, transforming complex datasets into actionable business intelligence and production-ready applications.
The American College, Madurai
Bachelor of Science · Data Science
August 1, 2023 – June 30, 2026
Independent Client Projects
Freelance Data Analyst / ML Developer
January 1, 2026 – Present
India
DATA VAGANZA, Department Symposium, The American College
Web & Application Developer
January 1, 2026 – Present
India
The American College, Madurai
Student Operations Assistant, Dept. of Data Science
January 1, 2024 – Present
India
VAULT-Aegis: AI Security Gateway
January 1, 2026 – June 1, 2026
Designed a zero-trust security layer for LLM deployments as part of a hackathon team, covering threat vectors from the API gateway through to the inference pipeline. Implemented prompt injection and jailbreak defence, PII sanitization across 7+ data types, and OWASP API scanning; reduced simulated attack success rate to near zero. Won 1st Prize at the Thiagarajar College of Arts & Science Hackathon, Madurai.
Laptop Price Prediction
January 1, 2026 – June 1, 2026
Trained a Random Forest regression model across 1,000+ device configurations for laptop price prediction, achieving R2 = 0.88 on the held-out test set. Built an interactive feature importance dashboard to help stakeholders understand which device specs drive pricing, enabling data-backed procurement decisions.
London Bike Ride Analysis
January 1, 2026 – June 1, 2026
Processed multi-year historical ride data to surface seasonal and weather-driven demand patterns across London's bike-share network. Quantified 23% higher weekend ridership during summer months and visualized findings in Tableau for capacity planning use.
Video Games Sales Analysis & Prediction
January 1, 2026 – June 1, 2026
Profiled 16,000+ game titles across NA, EU, JP, and Global markets through EDA; surfaced platform dominance trends and genre-level demand patterns using matplotlib and seaborn. Engineered a game age feature and applied one-hot encoding across platform and genre dimensions; benchmarked Linear Regression, Random Forest, and XGBoost Regressors for global sales prediction. Selected Random Forest as the final model (R2 = 0.84, MAE = 0.017, RMSE = 0.836) and deployed a prediction system accepting platform, genre, year, and publisher as inputs.
Prompt Engineering
AWS
January 1, 2025 – Present
Data Analysis
Microsoft & LinkedIn
January 1, 2025 – Present
Data Analytics and Visualization Virtual Internship
Accenture
January 1, 2025 – Present
Generative AI
Microsoft & LinkedIn
January 1, 2025 – Present
Google Analytics
January 1, 2025 – Present
AI Agents
Hugging Face
January 1, 2025 – Present
Data Visualization Virtual Internship
TATA
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic hackathons to freelance client work and personal projects, indicates a proactive and versatile individual. Their involvement in a student operations role and web development for a symposium suggests a collaborative spirit and willingness to contribute beyond core technical tasks. The breadth of certifications in AI, Data Analysis, and Visualization aligns well with a continuous learning mindset, which is crucial for cultural fit in a dynamic data science environment.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through various projects, particularly in optimizing ML models for specific challenges like imbalanced data. Their experience in coordinating departmental events and managing website deployments suggests good organizational and project management capabilities. The ability to build interactive dashboards indicates a user-centric approach and good communication of technical insights.