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🔍 Big Data Analyst | Python, SQL, PySpark, AWS, Kafka | Data streaming & transformations 🚀
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Project Engineer
Data Scientist
June 19, 2026 – Present
HateCrimesAnalysis
May 30, 2025 – June 25, 2025
Hate Crimes Analysis is a real-time data streaming and transformation pipeline designed to analyze hate crime data from 2017 to 2025. The project leverages modern big data technologies—Confluent Kafka for real-time data ingestion, PySpark for data transformations, and AWS S3 for cloud-based storage in Parquet format.
View ProjectReal-Time-Fraudulent-Transaction-Analytics-Pipeline
February 16, 2024 – June 5, 2025
A Big Data project leveraging AWS services and Apache frameworks to identify and visualize fraudulent credit card transaction patterns, providing actionable insights to mitigate financial fraud. Topics emr
View ProjectReal-Time-Fraudulent-Transaction-Analytics-Pipeline
February 15, 2024 – February 29, 2024
A Big Data project leveraging AWS services and Apache frameworks to identify and visualize fraudulent credit card transaction patterns, providing actionable insights to mitigate financial fraud.
View ProjectInstagram-Insights
January 17, 2024 – January 17, 2024
"Dive into Instagram Insights! Uncover post reach dynamics by manually collecting data. Download the dataset for hands-on Python-based analysis. Explore machine learning for predicting post reach. Enhance your content strategy with data-driven insights. 📊🚀"
View ProjectFloraFusion
January 3, 2024 – February 14, 2024
The Image Classification of Five Flower Classes project aims to build a machine learning model. The primary goal is to create a reliable system that can automatically identify and categorize different types of flowers based on input images. This project has applications in botany, horticulture, and image recognition tasks.
View ProjectMultiClass-Classification-of-Flowers-using-CNN-ResNet50_Machine-Learning-Project
January 2, 2024 – January 2, 2024
This repository houses a machine learning project that expertly classifies images of flowers into five distinct categories: roses, tulips, sunflowers, daisies, and dandelions. It harnesses the power of ResNet50, a pre-trained convolutional neural network, to achieve exceptional accuracy in image recognition.
View ProjectGeoGuesser
November 17, 2023 – November 17, 2023
Embark on a thrilling journey with GeoGuesser! Answer a series of geography-related questions, showcasing your expertise in global locations, capitals, and landmarks. Explore diverse regions, unveil fascinating facts, and enhance your geographical savvy. Dive into this exciting quiz and discover the world like never before!
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in data science and big data, aligning with a data-driven culture. The diversity of projects (fraud detection, hate crime analysis, Instagram insights, flower classification) indicates a broad curiosity and willingness to explore different domains. However, the lack of professional experience beyond a 'Project Engineer' role with a future start date makes it difficult to fully assess cultural fit in a professional setting.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The psychometric test score is 0, offering no insights.