
π§ Data Science & ML Enthusiast | Python π | Jupyter π | Scikit-Learn π§‘ | TensorFlow π | Cassandra ποΈ | Docker π³ | ASP.NET π | MVC ποΈ | SQL DB π
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API-Pipeline-StackOverflow-
October 6, 2025 β October 12, 2025
This project implements a complete end-to-end API pipeline that interacts with StackOverflow data. The system demonstrates core data engineering principles by fetching, storing, and serving data through a RESTful API.
View ProjectRAG-Images-Graphs-Module
July 21, 2025 β July 21, 2025
RAG-Images-Graphs-Module β GitHub repository
View ProjectRAG-for-Graphs-and-Images
July 20, 2025 β July 20, 2025
RAG-for-Graphs-and-Images β GitHub repository
View ProjectMultimodal-RAG-for-Texts-and-Images
June 18, 2025 β July 20, 2025
Multimodal-RAG-for-Texts-and-Images β GitHub repository
View ProjectMultimodal-EmotionLines-Dataset
March 31, 2025 β April 29, 2025
Multimodal-EmotionLines-Dataset β GitHub repository
View Projecteyes-classification
March 31, 2024 β April 3, 2024
Female and male eyes - Find out the gender by eye.
View ProjectIMDB-Dataset
November 21, 2023 β November 29, 2023
MDB dataset having 50K movie reviews for natural language processing or Text analytics. This is a dataset for binary sentiment classification containing substantially more data than previous benchmark datasets.
View ProjectGerman-Credit-Analysis
November 19, 2023 β December 4, 2023
The original dataset contains 1000 entries with 20 categorial/symbolic attributes prepared by Prof. Hofmann. In this dataset, each entry represents a person who takes a credit by a bank. Each person is classified as good or bad credit risks according to the set of attributes.
View ProjectWholesale-Customers-Dataset
October 25, 2023 β November 6, 2023
Annual spending in monetary units of clients of a wholesale distributor
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong self-driven learning approach and initiative in exploring various data science domains, which aligns with a culture of continuous improvement and innovation. The diversity of projects, from sentiment analysis to multimodal RAG, indicates a broad interest in the field. However, all projects are personal, which limits insight into team collaboration or professional project management experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.