
Data Scientist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
BluePi consulting
Data Scientist
June 16, 2026 – Present
engllish_to_french_translator_project
February 14, 2022 – February 14, 2022
Build seq2seq transformer based translator using Hugging Face library and fine tune the model
View Projectgit_tutorial
February 28, 2021 – February 28, 2021
Learn basic aspects of git hub platform and explore all essential commands.
View ProjectCV-recommendation
April 6, 2018 – May 16, 2018
Input: Candidate’s CV, Target field of the candidate. Output: Best sub-Job domain for the candidate, Recommendation of required skills for the target field
View ProjectImage-based-Human-Age-and-Gender-Estimation
April 6, 2018 – April 19, 2018
Approach: Age estimation by first extracting Biologically Inspired Features(BIF), and then applying Kernel Partial Least Square Regression algorithm.
View ProjectTwitter-sentiment-Analysis-in-R
April 6, 2018 – April 13, 2018
Analyzing Apple's product reviews
View ProjectLoan-Approval-using-Logistic-Regression-in-R
April 6, 2018 – April 19, 2018
Minimize risk and maximize profit for the bank by predicting which customer is more likely to repay the loan and who will not repay the loan. Implemented Logistic regression model in R for Data analysis and prediction
View ProjectCultural Fit Analysis
The candidate has a range of personal projects demonstrating initiative and interest in various data science domains, which aligns with a curious and self-driven culture. However, the lack of team-based projects or contributions to open-source initiatives limits the assessment of collaborative cultural fit. The experience level is listed as 0, but there is a current role as 'Data Scientist' starting in 2026, which is inconsistent and needs clarification. This makes it difficult to fully assess cultural fit based on professional experience.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse data science problems. However, without psychometric test results or interview data, it is not possible to assess soft skills, logical reasoning, work attitude, stress handling, or team collaboration.