Turning data into real-world solutions.
M.Sc. Data Science student with hands-on experience in Python, software development, APIs, databases, and AI/ML. Skilled in building scalable applications through projects in web development, NLP, computer vision, and LLM integration.
systems
not just notebooks
About Me
M.Sc. Data Science student combining ML fundamentals with practical software engineering.
M.Sc. Data Science student with hands-on experience in Python, software development, APIs, databases, and AI/ML. Skilled in building scalable applications and solving real-world problems through projects in web development, NLP, computer vision, and LLM integration.
Currently pursuing my M.Sc. in Data Science at VIT Vellore (CGPA: 8.66), after completing my B.Sc. in Computer Science at the same institution (CGPA: 8.49). Alongside my studies I'm currently working as a Data Engineer at PS8 Network, building and maintaining data pipelines that turn raw sources into analytics-ready systems.
Experience
Hands-on data engineering work alongside my M.Sc.
Technical Skills
A stack built around Python, applied ML, and the tools to ship it end-to-end.
Featured Projects
Systems that combine ML/NLP/CV work with real backend and API engineering.
- Built a Flask backend integrated with the Groq LLaMA 3.3 API, supporting multi-turn conversations through session-based history management.
- Implemented secure API handling — input validation, rate limiting, exception handling, and structured logging.
- Built a real-time computer vision pipeline combining a HybridFuzzyNet enhancement model with YOLO detection and ByteTrack multi-object tracking.
- Engineered threaded video processing with configurable enhancement parameters and live FPS monitoring.
- Built an NLP pipeline processing 10,000+ restaurant reviews using preprocessing, lemmatization, and TF-IDF vectorization.
- Trained and tuned Logistic Regression and Naive Bayes models with GridSearchCV, evaluated via weighted F1-score and confusion matrix.
- Developed an automated news scraping pipeline collecting recent company headlines via BeautifulSoup and REST APIs.
- Integrated the Groq LLaMA 3.3 API for sentiment classification, with retry logic, logging, and CSV export for downstream analysis.
Education
Academic progress with a strong focus on data science and computer science fundamentals.
Certifications
Let’s connect.
I’m open to internships, entry-level opportunities, and conversations around data engineering, data science, and software development.