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Data Scientist with a profound interest in using data to solve real-world problems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Algorithmic-Coding-Challenges
December 8, 2021 – December 10, 2021
A compilation of common python algorithmic problems
View ProjectFacial-Analysis-App-
November 17, 2021 – November 21, 2021
Web app for facial and emotional recognition using resnet 10 caffe model
View ProjectHousing-Price-Prediction-With-ANN
October 23, 2021 – October 24, 2021
Housing-Price-Prediction-With-ANN — GitHub repository
View ProjectKickstarter-Success-Predictor
September 20, 2021 – October 20, 2021
Leveraging ML to predict kickstarter campaign success or failure
View ProjectTwitOff
August 16, 2021 – August 24, 2021
Flask web application to compare Twitter users.
View Projectlambdata-yalyakoob
August 2, 2021 – August 5, 2021
Lambda Package implementing some helper functions using modules.
View ProjectFinancial-Risk-Modeling-for-P2P-Lending
July 29, 2021 – July 30, 2021
Leveraging machine learning techniques to assess borrower risks and improve lending outcomes
View ProjectData_Preprocessing
June 30, 2021 – June 30, 2021
Roadmap for preprocessing data before building ML models
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong alignment with the Data Scientist role, demonstrating practical application of machine learning and data analysis techniques. The diversity of projects (web apps, predictive models, data preprocessing) indicates a broad interest within the data science domain. The lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and self-driven approach to learning and applying data science concepts. The focus on personal projects suggests an ability to work independently and explore new technologies. However, without psychometric test results or work experience, it is difficult to assess stress handling, teamwork, or communication in a professional setting.