Data & AI Engineer | MS CS @ SUNY - Buffalo
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Personalized-Finance-Assistant
January 11, 2026 – Present
Stock Market Analytics Data Engineering Project
View Projectimage-data-processing-system-using-python
March 7, 2025 – March 7, 2025
Building a system to efficiently process image data from CSV files
View Projecte-commerce-order-processing-data-pipeline
February 3, 2025 – February 3, 2025
ETL data pipeline using Kroger's API to perform customer sentiment analysis based on their order data using AWS, Airflow, dbt, BigQuery
View Projectcryptocurrency-price-analysis-data-pipeline
February 3, 2025 – February 3, 2025
Analysed cryptocurrency price change over time using AWS services and Snowflake DW
View Projectolympics-data-analysis-data-pipeline
February 3, 2025 – February 3, 2025
Built a data pipeline to analyze Olympics 2024 data using PySpark, Azure Databricks and Tableau
View ProjectAutomate-Build-Deploy-Microservice-Application
September 16, 2024 – September 18, 2024
DevOps Project - Automating the deployment of a microservice-based application on Cloud
View ProjectRenewable-Energy-Trading-using-Blockchain-and-NFTs
July 19, 2024 – July 19, 2024
Digital Asset Trading using Blockchain (part of coursework at UB)
View ProjectServerless-ETL-Application-on-AWS
May 28, 2024 – November 25, 2024
Building a serverless ETL application on AWS (as part of Maven Course)
View ProjectData-Mining-on-Healthcare-Data
February 26, 2024 – February 28, 2024
Implemented data mining techniques on healthcare data
View ProjectFederal-Election-Commission-Database
April 29, 2023 – July 21, 2023
Federal-Election-Commission-Database — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data-related fields, which aligns with a Data Scientist role. The diversity of tools and platforms used (AWS, Azure, Snowflake, BigQuery, Airflow, dbt, PySpark) indicates a willingness to explore and learn new technologies. However, the projects are all personal and lack team collaboration context, making it difficult to assess cultural fit in a professional team setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.