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finsight-etl-pipeline
April 29, 2026 – Present
Production-grade financial ETL pipeline built with Apache Airflow, Apache Spark, Python, and MySQL. Ingests Yahoo Finance, FRED, and Reddit data into a Bronze/Silver/Gold lakehouse with automated scheduling, data quality checks, monitoring, and analytics-ready outputs.
View Projectetl-with-airflow-and-pyspark
December 29, 2024 – December 29, 2024
This project demonstrates an end-to-end data engineering pipeline designed to process and analyze customer reviews from an e-commerce platform. The pipeline uses PySpark for data transformation, AWS services (S3, Redshift) for storage, and Apache Airflow for orchestration. The data is containerized with Docker for portability.
View ProjectRNA-Seq-Pipeline
November 7, 2024 – November 7, 2024
RNA-Seq-Pipeline — GitHub repository
View Projectspark-kafka-retail-analytics
July 29, 2024 – June 16, 2025
A project focused on real-time sales data analysis for RetailCorp Inc., utilizing Apache Spark Streaming and Kafka. This project computes key performance indicators (KPIs) from real-time sales data, facilitating business insights through efficient data processing and storage.
View ProjectETL-Pipeline-For-ATM-Transactions
June 9, 2024 – June 11, 2024
This project involves building a batch ETL pipeline for Spar Nord Bank to analyze ATM withdrawal behavior and optimize the refill frequency. The pipeline extracts transactional data from a MySQL RDS server, transforms it using PySpark, and loads it into Amazon Redshift for analysis.
View ProjectNYC-TLC-Yellow-Taxi-Data-Analysis
April 7, 2024 – June 16, 2025
NYC-TLC-Yellow-Taxi-Data-Analysis — GitHub repository
View ProjectEDA-Credit-Card-Fraud-Detection
March 3, 2024 – March 3, 2024
In this case study, I utilized Exploratory Data Analysis (EDA) techniques to analyze credit card applications.
View ProjectBike-Sharing-Demand-Prediction
March 2, 2024 – March 4, 2024
This is a machine learning project where I built a multiple linear regression model for predicting the demand for shared bikes.
View Projectlead_scoring_case_study
February 14, 2024 – March 4, 2024
lead_scoring_case_study — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data engineering and analytical tasks, which aligns with the technical demands of a Data Scientist role. However, the projects are predominantly personal, and there is no information on collaborative work or team dynamics. The diversity of projects indicates a proactive learning attitude. The lack of formal experience or education details makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.