Data Engineer • Cloud Analytics Professional • Tech Enthusiast
- 🎓 Currently pursuing a Master's in Information Systems at Northeastern University.
- 🌟 Skilled in ETL, Data Engineering, Machine Learning, and IoT-driven Solutions.
- 🏆 Certified Azure Data Engineer Associate.
- ⚡ Fun Fact: After my class hours, you’ll find me wrestling with vanishing gradients, taming activation functions, and convincing loss functions to take the hint — all in the name of 'convergence'. 🤖📐📉
- 🌱 What I'm Up To: Currently diving deep into MLOps to explore the building and deployement of end to end Machine Learning pipelines.
1️⃣ Programming Languages
2️⃣ ETL Tools & Distributed Systems
3️⃣ Databases
4️⃣ Machine Learning Models
5️⃣ Data Modeling
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Incremental Data Pipeline using Snowflake
Developed an efficient ETL pipeline with incremental loading capabilities, optimizing data processing time by 40%. -
SEC Financial Data Pipeline using Snowflake & DBT
Engineered a robust financial data pipeline extracting SEC filings with Snowflake and DBT, enabling real-time analytics. -
BigData Process and MarkDown Viewer
Created a scalable data processing framework with interactive markdown visualization features for large datasets. -
Azure Spotify ML Pipeline
Built scalable ETL pipelines and Random Forest models achieving an R² score of 0.82. -
Motor Vehicles Crash Analysis
Analyzed crash data using Power BI and Talend, reducing traffic incidents by 35%. -
Kansas City Service Request Analysis
Processed 1.56M service requests to optimize resource planning by 25%.
