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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
stock-market-etl-kafka-spark
May 6, 2025 – June 20, 2025
stock-market-etl-kafka-spark — GitHub repository
View ProjectCustomer-Attribution-Pipeline-Python-SQL-Airflow
January 21, 2025 – January 21, 2025
Customer-Attribution-Pipeline-Python-SQL-Airflow — GitHub repository
View ProjectExchange-Rates-Processing-Pyspark-Kafka
December 1, 2024 – December 1, 2024
Exchange-Rates-Processing-Pyspark-Kafka — GitHub repository
View ProjectReal-Time-Data-Streaming-using-Apache-Nifi-AWS-Snowpipe-Stream-Task.
June 18, 2024 – June 18, 2024
Real-Time-Data-Streaming-using-Apache-Nifi-AWS-Snowpipe-Stream-Task. — GitHub repository
View ProjectReinforcemnrt-Learning-in-TORCS-simulator-Master-thesis-
May 23, 2021 – May 28, 2021
Reinforcemnrt-Learning-in-TORCS-simulator-Master-thesis- — GitHub repository
View ProjectReinforcement-learning-for-self-driving-cars-in-CARLA-simulator
December 5, 2020 – December 5, 2020
Reinforcement-learning-for-self-driving-cars-in-CARLA-simulator — GitHub repository
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on data engineering, real-time streaming, and some machine learning, which aligns with the technical demands of a Data Scientist role. The diversity of projects, including those involving Kafka, Spark, Airflow, and reinforcement learning, suggests a proactive learning attitude. However, without information on professional experience or team-based projects, assessing cultural fit beyond technical alignment is challenging.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily lists technical projects without details on team collaboration, problem-solving approaches, or communication in a professional setting.