
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
tataconsultancyservices
Data Scientist
June 19, 2026 – Present
Emotion-AI-Facial-Key-points-Detection
January 18, 2023 – January 22, 2023
Emotion-AI-Facial-Key-points-Detection — GitHub repository
View ProjectQuora-Question-Pairs
January 9, 2023 – January 12, 2023
Quora-Question-Pairs — GitHub repository
View Projectchurnprediction
December 16, 2022 – December 16, 2022
churnprediction — GitHub repository
View ProjectRedefining-Cancer-Treatment
December 14, 2022 – December 14, 2022
Redefining-Cancer-Treatment — GitHub repository
View ProjectCustomer-acquisition
November 12, 2022 – January 26, 2023
Food mart X is a chain of convenience stores in the United States. The private company’s headquarters are in Mentor, Ohio, and currently, approximately 325 stores are in the US. Convenient food mart operates on the franchise system. We are designing an ML-based algorithm for predicting the cost of the media in acquiring customers
View Projectbankloandefaulter
November 3, 2022 – November 3, 2022
bankloandefaulter — GitHub repository
View ProjectPipeline-Demonstration
October 11, 2022 – October 12, 2022
Pipeline-Demonstration — GitHub repository
View ProjectCoupon_offer
September 24, 2022 – September 24, 2022
### **Objective** The objective is to predict whether or not the the grocery stores will be offering the discount coupons for a given customer. ### **Domain** Retail, Marketing
View ProjectAdult-Census-Income
September 24, 2022 – January 12, 2023
To determine whether a person makes over $50K a year or not. Problem Solving approach- PCA on Adult Census data and then using K-means Clustering and Hierarchical/Agglomerative Clustering for clustering the classes accordingly
View ProjectCultural Fit Analysis
The candidate's projects show a breadth of interest in different data science domains (retail, marketing, healthcare, image processing). However, the lack of detailed descriptions for most projects and limited technology stack beyond Jupyter Notebook makes it difficult to fully assess the depth of engagement and potential for diverse team contributions. The experience level is listed as 0, which contradicts the current role as a Data Scientist, suggesting a potential mismatch in self-assessment or data entry.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.