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Akshaykumarmundrathi/README.md

Akshay Kumar Mundrathi

Data & ML Engineer · Applied Research — turning raw data into decisions

💧 Water · 🪨 Earth · 🔥 Fire · 🌬️ Air

Portfolio LinkedIn Email Live Map

About

I build systems where machine learning, data engineering, and optimization meet — robust, explainable, and pointed at real-world problems. M.S. Computer Science, Oklahoma State University; B.Tech Computer Science, NIT Warangal. My first published research was presented at IEEE FUZZ 2023 in Incheon, South Korea.

🔬 Currently

Research Assistant, Well-Records Digitization Pipeline — Boone Pickens School of Geology, Oklahoma State University (DOE Anadarko Basin Carbon Management Hub). Poster presented at AAPG 2026, Tulsa.

🏆 Featured Work

🪨 Oklahoma Well-Records Digitization Pipeline

Inherited a one-PDF-at-a-time research prototype and carried it to a production pipeline (OCR, computer vision, U-Net segmentation) digitizing 571,446 historical Oklahoma well records — 51,000+ wells live on a self-correcting public map across all 77 counties. 🗺️ Live map · 📜 Case study

💧 MovieMatch

Full-stack recommendation engine — React + TypeScript frontend, Flask REST API, demographic-based recommendations on the MovieLens 100K dataset.

🪨 Modern Data Warehouse & ETL

Medallion-architecture warehouse (Bronze/Silver/Gold) on SQL Server integrating 10+ sources — cut manual data prep 60%, improved pipeline efficiency 40%.

🔥 Spiking Neural Networks — Financial Time Series

Biologically-plausible computation: S&P 500 segments classified via spike-train encoding and LIF/Izhikevich neuron simulation.

🛠️ Skills

Languages & ML

Python R SQL PyTorch TensorFlow scikit--learn

Data & Cloud

AWS PostgreSQL SQL Server Power BI MongoDB GitHub Actions

Web

React Node.js Flask

📊 Language Focus

Most used languages across my repositories

📜 Publications & Certifications

Pinned Loading

  1. Portfolio Portfolio Public

    Personal portfolio: Avatar-the-Last-Airbender-themed static site with zoom-scroll animations, projects, and a narrative case study.

    TypeScript

  2. osu-well-pipeline osu-well-pipeline Public

    Digitizing 570K Oklahoma oil & gas well records (1911-2024): OCR + CV + U-Net extraction to a live, human-verifiable map

    Python 1

  3. SpikingNeuralNetworks SpikingNeuralNetworks Public

    Exploring Spiking Neural networks

    Jupyter Notebook

  4. CricketRoleClustering-NLP-PCA-tSNE CricketRoleClustering-NLP-PCA-tSNE Public

    A project that uses TF-IDF, PCA, and t-SNE to extract, reduce, and visualize features from cricket players' textual descriptions to classify them into roles like batsmen, bowlers, and fielders.

    Jupyter Notebook

  5. cricket-data-analytics cricket-data-analytics Public

    End-to-End Cricket Data Analytics using Web Scraping, Pandas, and Power BI.

    Jupyter Notebook