Solving problems, one line of code at a time
I am a Master's student in Computer Science at George Mason University with a data analytics and business intelligence focus, supported by hands-on data engineering experience.
Summary
I position my work as primarily data analysis and business intelligence (about 60%), complemented by data engineering (about 40%). I use SQL, Python, and BI tools to analyze data, reconcile reporting, and deliver reliable KPI insights, backed by experience building and validating data pipelines.
As a Data Engineering Intern at George Mason University, I build and orchestrate data workflows with Python, PySpark, Airflow, and AWS. My previous analytics roles focused on SQL-based reporting, data reconciliation, and operational insights for business stakeholders.
Education
George Mason University
Master's degree, Computer Science minor in Machine Learning
Aug 2025 - Present 路 2 yrs
University of Petroleum and Energy Studies (UPES)
Bachelors of Technology - BTech, DevOps
Jul 2019 - May 2023 路 4 yrs
Experience
Data Engineering Intern
George Mason University - College of Engineering and Computing
Jan 2026 - Present
Fairfax 路 Virginia 路 United States
- Built Python ETL pipelines to ingest, standardize, and validate 10,000+ neuronal morphology datasets (~2 TB), reducing malformed records by 35% and improving downstream data accuracy.
- Documented source-to-target mappings, metadata schemas, and transformation rules for SWC reconstructions, including coordinate normalization and parent-child topology validation.
- Orchestrated PySpark transformations with Airflow, AWS S3, and Lambda; monitored accuracy, timeliness, and failures through CloudWatch, reducing manual processing effort by 60%.
Data Analytics Engineer
Electro Tech Systems
Nov 2024 - May 2025
Naraina 路 New Delhi 路 India
- Developed SQL data pipelines integrating production logs, equipment test results, and inventory records for batch-level defect tracking and procurement analytics.
- Used SQL joins and reconciliation checks to investigate mismatches across transformer testing records, production batches, and inventory transactions.
- Maintained data dictionaries and SOPs for equipment identifiers, testing parameters, inventory reconciliation, and reporting workflows.
Senior Data Analyst (promoted from Data Analyst)
Ganit Inc.
Jun 2023 - Oct 2024
Chennai 路 Tamil Nadu 路 India
- Led cross-functional analytics projects and mentored analysts, automating KPI reports and Excel/Python dashboards to reduce manual reporting effort by 60%.
- Migrated and optimized FMCG sales datasets using AWS Lambda, RDS, and S3 for brand-, channel-, and region-level business intelligence.
- Developed and optimized SQL queries to aggregate and reconcile city-, brand-, and SKU-level sales data for accurate weekly and monthly reporting.
Skills
Programming & Databases:
Python, SQL, MySQL, MongoDB
Data Analytics & BI:
Data Analysis, Business Intelligence, KPI Reporting, Excel/Numbers/Sheets, Tableau, Power BI, Pandas, NumPy, Business Requirements Analysis, Data Reporting, Stakeholder Reporting
Data Management:
Data Quality, Data Validation, Data Transformation, ETL, Data Reconciliation, Data Warehousing
Cloud & Development:
AWS, Airflow, Apache Spark, Google Cloud Platform, Linux/Unix, Git, GitHub Actions
References
- Dr. Hitesh Kumar Sharma
- (Professor & HOD, University of Petroleum and Energy Studies)
- (+91-8755265577, hksharma@ddn.upes.ac.in)
- Dr. Arjun Arora
- (Assistant Professor, University of Petroleum and Energy Studies)
- (+91-9760505075, a.arora@ddn.upes.ac.in)
- Mr. S A Praveen
- (AVP - HR, Ganit Business Solutions Private Limited)
- (+91-9884477199, praveen.sa@ganitinc.com)