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Subject Matter Expert AI-ML @ L & T Edutech
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Assessing your cultural and operational fit
L&T Edutech
Data Scientist
June 19, 2026 – Present
vc5_emotion-detection2
July 22, 2025 – July 23, 2025
vc5_emotion-detection2 — GitHub repository
View Projectvc5_emotion-detection
July 22, 2025 – July 23, 2025
vc5_emotion-detection — GitHub repository
View Projectvc2_emotion-detection
July 19, 2025 – July 19, 2025
vc2_emotion-detection — GitHub repository
View ProjectCredit-Consumption-Prediction-Challenge
May 3, 2020 – May 3, 2020
Problem Statement Understanding the consumption pattern for credit cards at an individual consumer level is important for customer relationship management. This understanding allows banks to customize for consumers and make strategic marketing plans. Thus it is imperative to study the relationship between the characteristics of the consumers and their consumption patterns. Here the dataset is of some XYZ Bank that has given a sample of their customers, along with their details like age, gender and other demographics. Also shared are information on liabilities, assets and history of transactions with the bank for each customer. In addition to the above, data has been provided for a particular set of customers' credit card spend in the previous 3 months (April, May & June) and their expected average spend in the coming 3 months (July, August & September). The average spend for different set of customers needs to be predicted in the test set for the coming 3 months. Data Dictionary id Uni
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate an interest in data science and machine learning. However, the diversity of projects beyond core ML/DS is limited, and the experience level is marked as 0, despite having a current role as a Data Scientist. This discrepancy, along with the lack of detailed project descriptions for most GitHub repositories, makes it difficult to fully assess cultural fit and collaborative potential. The projects are mostly focused on individual contributions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.