Student
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Assessing your cultural and operational fit
QUICKCART-DE-Real-Time-Quick-Commerce-Data-Platform
May 14, 2026 – Present
Built a real-time quick-commerce analytics platform using React, FastAPI, Apache Kafka, Python, databricks, and dbt to simulate event-driven ingestion, streaming data processing, medallion architecture, data quality validation, and business KPI dashboards.
View ProjectNEWS_PULSE-Real-time-News-Analysis-Part-1-Kafka-Setup
May 9, 2026 – Present
NEWS_PULSE-Real-time-News-Analysis-Part-1-Kafka-Setup — GitHub repository
View ProjectPySpark-with-Databricks
November 1, 2025 – November 1, 2025
Learning PySpark with Databricks
View ProjectPassword-Generator
December 11, 2023 – December 11, 2023
Password-Generator — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects demonstrate an interest in data engineering and analytics, which aligns with a Data Scientist role. However, the majority of projects are personal and relatively small-scale, with several basic front-end development projects. This indicates a broad interest but lacks deep, focused experience directly applicable to a senior Data Scientist role. The absence of professional experience or education makes it difficult to fully assess cultural fit and professional maturity.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available.