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Data Scientist / ML Engineer

Hey! I’m Vashishth 👋

Welcome to my little corner of the internet.
I love turning numbers into ML systems that solve real-world problems.

Vashishth Raval

About Me

I’m a data scientist who genuinely enjoys working with numbers, models, and real-world problems.

With 2.5+ years of experience in FinTech, I focus on building end-to-end machine learning solutions that turn messy data into something people actually use.

I enjoy explaining complex ideas simply, optimizing models until they behave nicely, and approaching data science with an engineer’s mindset — practical, clean, and impact-focused.

Math with Meaning

Using statistics and models when they actually explain something useful.

Clean, Practical ML

Building ML systems that survive outside notebooks.

Impact over Hype

If it doesn’t help users or teams, it doesn’t excite me.

2.5+
Years in FinTech & Analytics
5+
Years Working with Data
M.Sc + PG
Data Science & AI
E2E
Data → Model → Real Use

Technical Stack

Data & Analytics

Python SQL Statistics Pandas / NumPy Data Visualization A/B Testing

Machine Learning

Supervised Learning NLP Feature Engineering Scikit-learn Model Evaluation Time Series

MLOps & Deployment

FastAPI Docker MLflow Git / CI/CD Cloud Platforms Monitoring

Featured Projects

InvestWise Recommendation System
Machine Learning

InvestWise Recommendation System

End-to-end AI mutual fund recommendation engine combining supervised/unsupervised learning with financial feature engineering. Production API delivers personalized investment suggestions.

Python FastAPI Scikit-learn MLOps
YouTube Sentiment Intelligence
NLP

YouTube Sentiment Intelligence

Real-time sentiment analysis platform transforming YouTube comments into actionable insights. Built with MLflow for tracking, DVC for pipelines, and FastAPI for deployment.

NLP Transformers FastAPI MLflow

Get In Touch

I'm always open to discussing data science opportunities and collaborations