Vinay Chanamallu

VC
Available for opportunities

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.

About Me

Turning Data Into
Intelligent Solutions

Transforming complex data challenges into scalable, production-ready machine learning solutions.

Vinay Chanamallu
Available
3+
Years Exp

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.

Experience

Professional
Journey

My evolution from computer science student to ML engineer and business analyst.

Aug 2024 - Present

MS Business Analytics

University of Maryland

🎓
💼
Jul 2022 - Jul 2024

Junior Systems Engineer

EPAM Systems

May 2022 - Sep 2023

Data Science Program

IIT Madras

📜
🚀
Feb 2022 - Jun 2022

Systems Engineer Intern

EPAM Systems

2018 - 2022

BTech Computer Science

JNTUK

🎓
Skills

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.

T
ML/AI

Time-Series Energy Forecasting

Time series forecasting model for India's energy consumption using advanced ML techniques and statistical methods.

PythonJupyterMLForecasting
L
ML/AI

LLM 101: Bytes to GPT

Educational project building a tiny GPT model from scratch. Learn LLMs through tokenization, bigram models, and baby transformers.

PythonPyTorchTransformersLLM
D
ML/AI

Doodle Digit App

Interactive handwritten digit recognition using k-NN classifier on 8x8 pixel images with Gradio web interface.

Pythonscikit-learnGradioML
F
ML/AI

Flight Delay Prediction Pipeline

End-to-end ML pipeline for predicting flight delays with feature engineering and model optimization.

PythonMLPipelineJupyter
A
ML/AI

Airbnb High-Booking Prediction

Predictive model for identifying high-booking rate Airbnb listings using ensemble methods and feature engineering.

PythonMLEnsembleJupyter
L
ML/AI

LSTM Action Recognition

Deep learning model using LSTM networks for human action recognition from video sequences.

PythonLSTMDeep LearningCV
C
ML/AI

Crash Duration Prediction

Predictive modeling system for estimating crash durations using machine learning techniques.

PythonMLAnalysisJupyter
A
Data

Amtrak Performance Analysis

SQL-based analysis project examining Amtrak's operational performance and service metrics.

SQLAnalysisDataTransportation

GET IN TOUCH

Ready to collaborate on your next data science project? Let's build something impactful together.

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