Summary
Overview
Work History
Education
Skills
Timeline
Generic

Aniruddh Adiga

College Station

Summary

M.S. Data Science candidate at Texas A&M, with experience across data engineering, analytics, and applied machine learning. I build ETL pipelines and analytics in SQL and Python, design experiments and causal analyses, and deliver dashboards and models that guide product and operational decisions.

Overview

2
2
years of professional experience

Work History

Student Research Assistant

Texas A&M AgriLife Research
05.2025 - Current
  • Trained YOLOv8 for ear-tag detection (reaching ~90% mAP on feedlot video) and extending to robust cow identification and long-term tracking across herds.
  • Automated instance masks with Grounded-SAM and streamlined dataset versioning, reducing manual labeling and iteration time.
  • Built segmentation + multi-object tracking across RGB/thermal to support long-horizon tracking; processed 4.8TB+ video; optimized training on TAMU HPRC GPUs (3x throughput vs. local).

Student Technician - Internal analytics for real-time cattle performance & emissions monitoring

Texas A&M AgriLife Research
02.2025 - 05.2025
  • Shipped ETL from feedlot telemetry to analytics tables (500K+ rows); defined KPIs and ArcGIS dashboards for weekly reviews.
  • Ran SQL/Python analyses (cohorts, trends, anomalies) and translated results into clear product recommendations.
  • Forecasted feed and methane across 20+ counties; documented assumptions and confidence for planners.

Analyst II

Deloitte
10.2023 - 07.2024
  • Automated regression testing with Python + Selenium, reducing patch verification time by 50%.
  • Drove SQL/Python analytics across large client datasets for Agile teams (reporting, trend analysis, data quality checks).
  • Conducted authentication-flow analytics to protect dashboards and client PII, enhancing data security.

Education

M.S. - Data Science (ECE Track)

Texas A&M University
College Station, TX
05.2026

B.S. - Electronics & Communication Engineering

National Institute of Engineering
08.2023

Skills

  • Languages Python, SQL, R, Java, MATLAB
  • ML/AI PyTorch, TensorFlow, scikit-learn, Keras; Deep Learning, Classical ML; CV: YOLO, MaskRCNN, DeepSORT; NLP/LLMs
  • Data & Cloud Pandas, NumPy; PostgreSQL, MongoDB; BigQuery; GCP; Docker, Git, Linux
  • Analytics & Process Matplotlib, Seaborn, Tableau; Statistics, A/B Testing; Agile, Jira

Timeline

Student Research Assistant

Texas A&M AgriLife Research
05.2025 - Current

Student Technician - Internal analytics for real-time cattle performance & emissions monitoring

Texas A&M AgriLife Research
02.2025 - 05.2025

Analyst II

Deloitte
10.2023 - 07.2024

B.S. - Electronics & Communication Engineering

National Institute of Engineering

M.S. - Data Science (ECE Track)

Texas A&M University

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