Aayush Verma

Data Scientist and Machine Learning Engineer

Education

University of Maryland, College Park

Master’s in Data Science

(2024 - 2025)

(GPA - 4.0/4.0)

Relevant Coursework: Machine Learning, Data Science, Probability and Statistics, Algorithms for Data Science, Big Data Systems, Data Representation and Modelling

Work Experience

LawIntel.AI (2024 - 2024)

Assisted development of a Legal LLM solutions to produce accurate judgments tailored to the Indian legal system.

Mu Sigma Inc. (2022 - 2024)

  • Developed data-driven supply chain optimization tools to enhance efficiency in operation and inventory.
  • Built ETL pipelines in Python, SQL, and PySpark to enhance SKU fulfillment, leading to 30% efficiency and EBIT savings worth $8M.
  • Built a CatBoost-based demand forecasting model in AWS Sagemaker, leading to a 5% reduction in split shipment and optimized inventory assortment.
  • Built scalable pipelines in AWS S3, Snowflake, and Teradata through Apache Airflow to offer real-time supply chain analytics.
  • Won two consecutive recognition awards in 2022 for technical acumen and project upscaling.

TCS (2020 - 2021)

Refined digital infrastructure for India's largest banks, reducing loading time by 10%.

Skills

Python

Machine Learning/AI

SQL

Tableau/Power BI

PySpark

ETL & CI/CD

Projects

Dyamic Meta-Classifier for Loan Defaulter Detection

Developed an ensemble meta-classifier to predict minority class defaulters in imbalanced datasets by training CatBoost and One Class SVM models, with a Random Forest classifier dynamically switching between the two based on feature patterns.

MCare Predictive Maintenance

Part of the R&D team that developed a predictive maintenance system to predict potential future failures in heavy machinery and their remaining useful life through real-time sensor data and ML techniques.

About Me

When I'm not wrestling with data, I play badminton and watch Formula - 1.

Aayush Verma

Contact Me