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Data Analyst / Analytics Engineer | Python, SQL, Cloud Data Platforms | ETL, Orchestration, Applied ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
citibike_modern-data-platform
February 16, 2026 – Present
Data Engineering Zoomcamp 2026 Project
View Projectdlt-pipeline-deployments
January 9, 2026 – Present
Working examples of dlt data pipelines deployed with github actions, Airflow, Dagster, Prefect, etc
View ProjectData-Visualization-with-IBM-Cognos
December 7, 2024 – December 10, 2024
Data visualization and dashboarding using IBM Cognos Analytics
View ProjectGenesis-5-Insights
November 8, 2024 – November 8, 2024
A project focused on extracting and analyzing data from Genesis 5 using web scraping techniques. This repository contains Python scripts for data extraction, cleaning, and analysis using Power BI, to uncover intriguing insights from the genealogical records.
View ProjectUsed-Car-Price-Prediction
July 10, 2024 – July 10, 2024
An mlops project for predicting the price of a used car
View Projectstock-markets-analytics-zoomcamp
April 21, 2024 – May 4, 2024
A repository documenting my progress during the stock markets analytics zoomcamp course by PythonInvest and DataTalks.club
View ProjectClassificationModelsPerformanceComparison
April 9, 2024 – April 9, 2024
This repository showcases an analysis where various classification algorithms were evaluated and compared using a real-world dataset. Explore the performance metrics, insights, and code implementations to gain a better understanding of how different algorithms perform in classification tasks.
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards continuous learning and self-improvement, evidenced by participation in multiple 'zoomcamp' courses (Data Engineering, MLOps, LLM, Stock Markets Analytics). The projects are primarily personal and demonstrate initiative. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit in a collaborative environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a self-starter attitude and a willingness to learn new technologies, which are positive indicators for operational fit.