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Subhang Boorlagadda

@subhangboorlagadda

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Data & Analytics Engineer building scalable pipelines and ML-driven dashboards to turn data into business value.

United States

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What I'm looking for

I’m looking for a role where I can build reliable data pipelines and BI dashboards, apply statistical/ML methods like anomaly detection and NLP, and partner with stakeholders to turn complex data into clear business decisions.

I’m a Data & Analytics Engineer who builds scalable data pipelines, develops dashboards, and applies statistical and machine-learning techniques to drive actionable insights. In my current role, I automated data ingestion from ERP systems into BigQuery, added anomaly detection for production scrap and machine inefficiencies, and delivered KPI dashboards for plant leadership.

I also bring research rigor to real-world problems. As a Graduate Research Assistant, I evaluated multiple LLMs (including GPT-4 and Claude) for generating test skeletons from code, maintained reproducible experiment logs, and contributed findings to a research paper published in FIE.

My background blends industry analytics with applied ML. I’ve developed predictive models with XGBoost, engineered Python + SQL pipelines for clean datasets, and integrated solutions into platforms that improved outcomes; I’ve also created interactive Power BI dashboards and automated reporting pipelines to reduce processing time and absenteeism.

Experience

Work history, roles, and key accomplishments

Current

Data & Analytics Engineer

Current

Palziv North America

Jun 2025 - Present (1 year 2 months)

Built a Python-based ETL pipeline automating data ingestion from ERP systems into BigQuery. Developed BI dashboards for plant leadership and improved reporting data integrity through standardized definitions.

Python ETL Data Ingestion BigQuery Statistical Analysis Anomaly Detection BI dashboards KPI Reporting Data Integrity Data Quality

Graduate Research Assistant

North Carolina State University

Jan 2025 - Aug 2025 (7 months)

Evaluated multiple large language models, including GPT-4 and Claude, for generating test skeletons from code. Maintained experiment logs and evaluation scripts to support reproducible benchmarking and research publication.

LLM Evaluation GPT 4 Claude Stub Generation Software Testing Experiment Logging Code Reproducibility Benchmarking

Machine Learning Research Intern

SRM University

Aug 2022 - Dec 2022 (4 months)

Developed a predictive machine learning model using XGBoost to estimate new salaries with 96% accuracy. Built a Python + SQL preprocessing pipeline for student placement records and integrated the model into a career services platform to improve outcomes.

Machine Learning XGBoost Hyperparameter Tuning predictive modeling Python SQL data preprocessing Model Integration Analytics

Data Analyst Intern

Nestle

Jun 2021 - Jul 2021 (1 month)

Performed statistical analysis on survey data from 400+ participants to identify workload and tool usage issues. Built interactive Power BI dashboards and automated reporting data pipelines using Python to reduce data processing time.

Statistical Analysis Power BI Data Visualization Interactive Reports Python Data Pipelines

Education

Degrees, certifications, and relevant coursework

North Carolina State University

Master of Science in Computer Science, Computer Science (Data Science)

2023 - 2025

Grade: GPA: 3.9/4

Earned a Master of Science in Computer Science with a concentration in Data Science at North Carolina State University (Aug 2023–May 2025). GPA: 3.9/4.