Who runs the world? DATA!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
E-Commerce-Application-Major-Project
April 11, 2026 – Present
E-Commerce-Application-Major-Project — GitHub repository
View ProjectDjango-Portfolio-App
November 20, 2024 – November 23, 2024
This is a project I saw on Realpython.com and I thought of adapting this to fit my requirements.
View ProjectLaundry-Management
February 21, 2023 – February 21, 2023
Laundry-Management — GitHub repository
View ProjectVoice-Assistant
September 24, 2022 – December 9, 2022
Voice-Assistant — GitHub repository
View ProjectLinear-Regression-From-Scratch
July 17, 2022 – April 1, 2023
This repo houses a Jupyter Notebook which is intended to walk you through Gradient Descent Algorithm from scratch.
View ProjectWeather-App-CustomTkinter
July 16, 2022 – July 17, 2022
A Weather App written entirely in Python that uses the CustomTkinter library.
View ProjectKIFT
September 20, 2021 – February 3, 2018
Voice User Interface w/ Natural Language Processing
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and development, with a diverse set of technologies explored. However, the projects are predominantly personal and lack clear team collaboration or real-world impact descriptions. While there's a breadth of technologies, the depth in any specific area relevant to a senior Data Scientist role is not evident. The target role is 'Data Scientist', but the projects lean more towards general software development and scripting, with only one project explicitly mentioning 'Gradient Descent Algorithm from scratch', which is a foundational but not necessarily senior-level indicator. The lack of professional experience or education details makes it difficult to assess alignment with a senior role's expectations for structured problem-solving and industry best practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.