
Working as a Python dev !
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
M2PFintech
Data Scientist
June 13, 2026 – Present
FemiCase
February 18, 2026 – Present
This bot is basically so random project I initialised
View ProjectSustain_farmers
November 27, 2024 – November 27, 2024
Sustain_farmers — GitHub repository
View ProjectBob-s-Esti-Mate
November 17, 2023 – August 5, 2024
Bob's Esti-mate is a budget optimizer application developed during a 24-hour ML/AI hackathon. Using XGBoost and Random Forest regression, the app provides accurate estimates for construction materials (bricks, sand, cement), labor requirements, and project duration based on input square footage and the number of floors.
View ProjectFeedback_Sentiment_Analysis
September 24, 2023 – September 24, 2023
Feedback_Sentiment_Analysis — GitHub repository
View ProjectDrillie
September 19, 2023 – November 7, 2023
Drillie, your legal mining guide chatbot. That uses multiple models and switches based on the query/prompt provided by the user
View ProjectYoutubeDataAnalysis
August 15, 2023 – August 15, 2023
YoutubeDataAnalysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, indicating curiosity and a willingness to explore different technologies and problem domains. However, the descriptions are very brief, making it challenging to gauge the depth of engagement or alignment with specific cultural values like detailed documentation or collaborative development practices. The current role as 'Data Scientist' at M2PFintech aligns with the target role, but without details on responsibilities, it's hard to assess the exact fit.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration, problem-solving approach, or communication clarity in a team context. The hackathon project suggests initiative and ability to work under pressure. Operational fit is hard to determine without more detailed project narratives or assessment data.