Vinay
Chanamallu
Data Scientist & ML Engineer
I transform data into intelligent solutions through end-to-end ML pipelines, advanced feature engineering, and production-ready models that deliver measurable business impact.
Turning Data Into
Intelligent Solutions
Transforming complex data challenges into scalable, production-ready machine learning solutions.

I'm Venkata Chandrasekhar Vinay Chanamallu, a passionate data scientist and ML engineer who finds pure joy in transforming raw, chaotic data into elegant, intelligent solutions that make a real difference in people's lives.
There's something magical about the moment when a machine learning model finally clicks - when months of feature engineering, hyperparameter tuning, and validation converge into something that not only predicts accurately but tells a compelling story about the patterns hidden in data. My journey at EPAM Systems taught me that the most beautiful models are those that seamlessly blend statistical rigor with production reliability, handling millions of transactions while maintaining the elegance of well-crafted algorithms.
I'm particularly fascinated by time-series forecasting and the art of making data infrastructure sing. Whether I'm crafting seasonal models that capture the subtle rhythms in business data, optimizing SQL queries until they run like poetry, or building propensity models that genuinely understand customer behavior, I'm driven by the pursuit of solutions that are both intellectually satisfying and practically transformative. The thrill of seeing conversion rates climb or ETL pipelines run faster never gets old.
What truly excites me is the entire ecosystem of modern ML engineering - from the initial spark of discovery in exploratory data analysis to the satisfaction of watching automated systems hum along in production. I love architecting data pipelines that don't just work today but evolve gracefully, creating dashboards that empower teams to make better decisions, and mentoring others to find their own passion in the intersection of mathematics, engineering, and human insight.
Professional
Journey
My evolution from computer science student to ML engineer and business analyst.
MS Business Analytics
University of Maryland
Junior Systems Engineer
EPAM Systems
Data Science Program
IIT Madras
Systems Engineer Intern
EPAM Systems
BTech Computer Science
JNTUK
My Tech Stack
Expertise across machine learning engineering and deployment technologies
Programming Languages
5 skills
Python
SQL
Java
C
R
ML Frameworks
8 skills
scikit-learn
TensorFlow
Keras
XGBoost
LightGBM
CatBoost
ARIMA
Prophet
Tools & Frameworks
4 skills
Git
Jupyter Notebook
OpenCV
MediaPipe
Cloud Platforms
8 skills
AWS S3
AWS EC2
AWS Lambda
AWS Redshift
AWS RDS
AWS SageMaker
AWS Glue
CloudWatch
Database Management
4 skills
PostgreSQL
MS SQL Server
Oracle
Amazon Redshift
Data Visualization
5 skills
Tableau
Power BI
Microsoft Excel
Matplotlib
Seaborn
Projects
A few case studies that show how I design, build, and ship.
Time-Series Energy Forecasting
Time series forecasting model for India's energy consumption using advanced ML techniques and statistical methods.
LLM 101: Bytes to GPT
Educational project building a tiny GPT model from scratch. Learn LLMs through tokenization, bigram models, and baby transformers.
Doodle Digit App
Interactive handwritten digit recognition using k-NN classifier on 8x8 pixel images with Gradio web interface.
Flight Delay Prediction Pipeline
End-to-end ML pipeline for predicting flight delays with feature engineering and model optimization.
Airbnb High-Booking Prediction
Predictive model for identifying high-booking rate Airbnb listings using ensemble methods and feature engineering.
LSTM Action Recognition
Deep learning model using LSTM networks for human action recognition from video sequences.
Crash Duration Prediction
Predictive modeling system for estimating crash durations using machine learning techniques.
Amtrak Performance Analysis
SQL-based analysis project examining Amtrak's operational performance and service metrics.
GET IN TOUCH
Ready to collaborate on your next data science project? Let's build something impactful together.
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