About Skills Projects Journey Awards Blogs Contact
Data Scientist / ML Engineer

Hey! I'm Vashishth πŸ‘‹

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 β€” 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 β†’ Model β†’ Real Use

Technical Stack

Machine Learning & AI

Supervised & Unsupervised Feature Engineering Ensemble Methods Imbalanced Learning Cross-Validation Hyperparameter Optimization Model Evaluation Neural Networks Transformers Fine-Tuning RAG Multi-Agent Systems

Data & Statistical Expertise

A/B Testing Experimental Design Hypothesis Testing Bias–Variance Tradeoff Confidence Intervals Representation Learning

Engineering & MLOps

Python (NumPy, Pandas) Scikit-learn SQL FastAPI Git MLflow DVC Docker CI/CD Model Monitoring LangChain LangGraph Vector Databases

Featured Projects

TradeMind Pro - Multi-Agent Financial Intelligence System
Multi-Agent AI

TradeMind Pro

Multi-Agent Financial Intelligence System. Simulates structured debate between Bull, Bear, and Judge agents to reduce bias in stock analysis. Combines RAG with verified financial documents like RBI reports and earnings transcripts. Produces evidence-backed insights with Buy/Sell confidence scores.

Multi-Agent Systems RAG LangGraph Transformers Vector DB
InvestWise - Hybrid Mutual Fund Recommendation Engine
Hybrid ML

InvestWise

Hybrid Mutual Fund Recommendation Engine. Analyzes 4,000+ funds using advanced clustering and machine learning. Predicts investor risk profiles, maps to suitable fund categories, and explains reasoning with SHAP-based interpretability. Built with FastAPI and deployed on Railway.

Clustering SHAP FastAPI Scikit-learn Railway
YouTube Sentiment AI - MLOps-Powered Influencer Analytics Platform
NLP Β· MLOps

YouTube Sentiment AI

MLOps-Powered Influencer Analytics Platform. Analyzes 500+ YouTube comments in seconds to measure real audience sentiment and controversy levels. Includes automated MLOps pipeline and Chrome Extension for real-time influencer auditing beyond vanity metrics.

NLP Transformers MLflow DVC Chrome Extension

Professional Journey

July 2025 β€” Present

Post Graduate Diploma in Data Science

Praxis Tech School β€’ Bengaluru, KA

May 2023 β€” Jun 2025

Associate Business Analyst

Bankai Infotech Ltd β€’ Ahmedabad, GJ

Jan 2023 β€” Apr 2023

Associate Business Analyst Intern

Bankai Infotech Ltd β€’ Ahmedabad, GJ

Jul 2021 β€” Jun 2023

M.Sc in Data Science

Dhirubhai Ambani Institute of Information and Communication Technology

Oct 2020 β€” Apr 2021

Vlogger, Content Writer & Graphic Design Intern

Virtual Pebbles β€’ Ahmedabad, GJ

Jan 2020 β€” Mar 2020

Internship Project

Tata Motors β€’ Ahmedabad, GJ

Jul 2016 β€” May 2020

B.Tech in Electrical Engineering

Charusat University β€’ Anand, GJ

Awards & Certifications

Technical Blogs

Get In Touch

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