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WEB103_PREWORK_NAME_OF_APP
July 30, 2025 – July 30, 2025
To build a frontend that supports CRUD (create, read, update, and delete) operations on one's favorite content creators.
View ProjectSTEDI_HUMAN_BALANCE_ANALYTICS
April 2, 2025 – April 2, 2025
Objective: Build a data lakehouse solution for sensor data that trains a machine learning model.
View ProjectALGO_TRADING_STRAT
June 20, 2024 – July 3, 2024
Stock market analytics with ML, trading simulation, automation, and more. The final project from Stock Market Analytics Zoomcamp. Hosted by Python Invest and Data Talks Club.
View Project30_DAYS_OF_PYTHON
May 19, 2024 – July 12, 2024
30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. Brought to you by Asabeneh.
View ProjectMLOPS_ZOOMCAMP
May 18, 2024 – June 7, 2024
MLOps Zoomcamp Objective: Teach practical aspects of productionizing ML services — from training and experimenting to model deployment and monitoring.
View ProjectANALYTICS_IN_STOCK_MARKET_ZOOMCAMP
April 22, 2024 – June 12, 2024
My projects, assignments, and notes in the stock market trading, Python programming in Colab, analytics, and data visualization course. Hosted by PythonInvest and DataTallksClub.
View ProjectUI-SANDBOX
March 27, 2024 – June 16, 2024
For leaning for frontend (HTML, CSS, JavaScript, etc)
View ProjectYOUTUBE_CLONE
March 4, 2024 – June 4, 2024
This is aimed at replicating the functionality and design of the popular video-sharing platform, YouTube.
View ProjectPATIENT_SERVICE_UI
March 4, 2024 – June 25, 2024
This houses the user interface (UI) code for a patient service application.
View ProjectCultural Fit Analysis
The candidate shows initiative through various personal projects, including several zoomcamps related to data science and MLOps, indicating a proactive learning attitude. The diversity of projects, from data analytics to frontend UI, suggests a broad interest in technology, which could be a good cultural fit for a dynamic environment. However, all projects are personal, and there's no information on team collaboration or professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insights into collaboration, problem-solving approaches, or communication styles.