About Skills Work Journey
hello there! i'm

Anusha Nandy

Data Scientist & Machine Learning Engineer. Bridging the gap between experimental notebooks and production systems .

Anusha Nandy

01 / About

I’ve always liked stories. To me, Data Science is just a way of finding the truth hidden inside a mess of numbers. I operate at the intersection of data and Engineering, acting as a student, engineer, and relentless troubleshooter .

Currently, I’m finishing up my M.S. in Data Science, focusing heavily on Machine Learning Engineering. I enjoy the logic puzzle of system design —taking a theoretical concept and building the infrastructure to support it. Whether it's stitching images together or predicting customer churn, my goal is always the same: to build tools that are reliable and scalable.

Outside of tech, I try to stay offline as much as I can. I love exploring new places and I write about tech and life on Medium. I’m simply looking for a team where I can ask a million questions, solve hard problems, and keep learning.

Current Focus

Reliable ML End-to-End Pipelines Cloud Architecture

02 / Stack

Languages

  • Python (NumPy, Pandas)
  • SQL (PostgreSQL, MySQL)
  • R Programming
  • Bash / Shell Scripting

Machine Learning

  • PyTorch & TensorFlow
  • Scikit-learn
  • XGBoost / LightGBM
  • HuggingFace Transformers

Infrastructure

  • Docker & Kubernetes
  • AWS (SageMaker, S3, EC2)
  • Terraform
  • GitHub Actions (CI/CD)

Tools & Platforms

  • MLflow & DVC
  • Apache Airflow
  • Tableau & PowerBI
  • FastAPI / Flask

03 / Work

Churn

Customer Churn Engine

A production-ready XGBoost model pipeline identifying at-risk customers with 85% accuracy. Integrated with Salesforce via REST API.

Python Docker FastAPI

End-to-End MLOps

Automated CI/CD pipeline reducing deployment time from 3 days to 4 hours using Jenkins & SageMaker.

MLflow AWS Terraform

Real-Estate ETL

Automated scraping and cleaning pipeline processing 50k housing records daily.

Airflow Soup

04 / Path

2024 — Present

M.S. Data Science

University of Alabama at Birmingham

Specializing in Machine Learning, Big Data Analytics, and Cloud Computing.

2022

AI Intern

Indian Oil Company

Optimized indian vehicle recognition algorithms, enabling real-time monitoring on Android with 30% faster inference.

2020 — 2024

B.Tech. Artificial Intelligence

Mahindra University