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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
RBI-Finance-Data-Aggregator
September 15, 2019 – September 15, 2019
Building a program that aggregates data that reflects on the customer spending in the country to perform further analysis.
View ProjectBillboard-API
July 16, 2018 – July 20, 2018
A Python API to download billboard chart data
View ProjectServer-Pinger-For-RL
May 23, 2017 – June 12, 2017
This simple GUI helps in finding pings to rocket league servers around Asia. Helps in deciding playable regions while searching for a game.
View ProjectKludge2k17-Twitter-Mood-Heatmap
April 14, 2017 – April 15, 2017
Kludge2k17-Twitter-Mood-Heatmap — GitHub repository
View ProjectBillboard-Predictor
November 24, 2016 – April 2, 2017
This project aims at predicting the peak position of a given song in the Billboard's Hot 100.
View ProjectStudent_intervention_system
October 5, 2016 – October 6, 2016
Based on the features of a student, this supervised learning model predicts whether or not a student requires assistance in graduating or not.
View Projecttitanic_survival_exploration
September 12, 2016 – September 12, 2016
An algorithm to predict the survival of a person based on their characteristics
View ProjectCultural Fit Analysis
The candidate's project portfolio indicates a strong personal drive and interest in data science and machine learning. The diversity of project topics (e.g., social media sentiment, music prediction, student intervention, financial data) suggests a broad curiosity. However, without information on collaborative projects, team roles, or communication styles, a comprehensive cultural fit assessment is not possible. The candidate's experience level is listed as 0, which might indicate a need for mentorship and integration into a team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test scores were provided, and no work experience or detailed project descriptions are available to infer these qualities.