Get To Know More

About Me

Education

B.Sc. Bachelor’s Degree
Computer Science & Data Science

I am a recent graduate in Data Science and Computer Science, starting my Master’s in Data Science next semester. I'm passionate about turning data into real-world impact. I’m looking for opportunities in data science, analytics, or software development where I can grow, and keep learning. I value work that solves meaningful problems.

Leadership & Activities

Alpha Phi Omega – Webmaster

Managed fraternity website, updated content, and maintained online platforms.

Alpha Phi Omega – Alumni Chair

Organized outreach events and maintained relationships with fraternity alumni.

Alpha Phi Omega – Brotherhood Engagement Committee

Led Brotherhood Engagement Committee to organize events that foster member engagement.

Five Loaves Food Pantry – Volunteer

Regularly volunteered to organize and distribute food to those in need.

Skills

Languages

Python, Java, C, SQL, JavaScript

Frameworks

Spring Boot, Scikit-learn, Flask, Gradio, PyTorch, FastAPI

Tools & Platforms

Docker, Git, Render, BigQuery ML, Google Gemini API

Databases

PostgreSQL, ChromaDB

Libraries

TensorFlow, Pandas, Material Design, Express.js, Tokio, Warp

Concepts

REST APIs, CI/CD, Retrieval-Augmented Generation (RAG), ML Ops, Authentication, Multithreading, Memory Management

Experience

Extern — NJCCIC via Rutgers MBS Externship Exchange

Jan 2025 – May 2025

• Built anomaly detection models using autoencoders in BigQuery ML to identify suspicious login behavior.
• Engineered features from authentication logs, incorporating MFA usage, login timing deviations, and browser anomalies.
• Analyzed geolocation and user-agent data for risk patterns; optimized performance with vectorized code and efficient feature selection.

Browse My Recent

Projects

Attack on Titan & FMAB Script AI

Trained NLP models to generate dialogues in the style of two anime series, using fine-tuned transformers on character-specific datasets. GitHub

Facial Expressions Detector

Built a CNN-based model to detect human facial emotions in real time, deployed with a Flask + OpenCV web app. GitHub

Medical Image CNN Classifier

Developed a convolutional neural network to classify medical images, achieving high accuracy on chest X-ray datasets. GitHub

NBA Statistics Database

Designed and implemented a relational database for NBA statistics with SQL queries for player performance analysis. GitHub

Python Task Scheduler

Created a Python-based task scheduler with multithreading support and persistent storage for task automation. GitHub

Wine Quality Prediction

Trained regression and classification models to predict wine quality using chemical composition data. GitHub

Skills

• Languages: Python, Java, C, SQL, JavaScript
• Frameworks: Spring Boot, Flask, FastAPI, Scikit-learn, PyTorch, Keras, Gradio
• Tools & Platforms: Git, Docker, Render, BigQuery ML, Google Gemini API, Jupyter Notebook
• Databases: PostgreSQL, ChromaDB
• Libraries: TensorFlow, Pandas, NumPy, OpenCV, Material Design, Express.js
• Concepts: REST APIs, RAG, MLOps, CI/CD, Authentication & Authorization, Multithreading, Memory Management

Leadership & Activities

• Alpha Phi Omega: Webmaster, Brotherhood Engagement Committee, Alumni Chair

Education

Rutgers University — New Brunswick, NJ

• MS in Data Science (Expected Dec 2026)
• BS in Computer Science & Data Science (Graduated May 2025)

Contact

Email: vatsalmalkari@example.com

Phone: (925) 968-8233

LinkedIn: https://www.linkedin.com/in/vatsal-malkari/