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MLE at American Express
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American Express
Data Scientist
June 21, 2026 – Present
sarvam-llm-finetuning
November 17, 2024 – April 2, 2025
sarvam-llm-finetuning — GitHub repository
View ProjectMIT-Intro-to-Deep-Learning-2024
September 6, 2024 – September 6, 2024
This repository contains solutions for programming exercises for MIT's Introduction to Deep Learning 2024.
View ProjectSQL-Pandas-50-Leetcode
May 4, 2024 – August 20, 2024
50 Practice questions of SQL and Pandas
View Projectcoursera-ml-specialization-course
December 20, 2023 – December 20, 2023
ML Specialization taught by Andrew Ng
View ProjectTensorFlow-Course----Udacity
May 21, 2019 – May 10, 2021
TensorFlow-Course----Udacity — GitHub repository
View ProjectTensorflow-Specialization-Course---Coursera
May 21, 2019 – May 21, 2019
Tensorflow-Specialization-Course---Coursera — GitHub repository
View ProjectOjas---Dynamic-and-Transparent-Train-Seat-Allocation-using-Firebase
August 4, 2018 – September 15, 2021
It is an android app developed for dynamic and transparent allocation of train seats.In present time, railway tickets can be booked till 3 - 4 hours before the departure of train. We are proposing the dynamic seat allocation system in which tickets can be booked even after the departure of the train in case of ticket availability. If someone is found to be absent at his/her seat, his/her ticket will be cancelled and same will be allotted to Waiting list passengers and will be opened for fresh booking in case of zero Waiting List. For transparency, Android app will be used to check the tickets and confirmation SMS will be sent to passenger's mobile on allotting the seats or cancellation of tickets. Technology used : Android, Firebase Software used : Android Studio
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong self-driven learning approach in data science. The current role as 'Data Scientist' at American Express, though with a future start date, aligns directly with the target role. However, the lack of diverse project types (e.g., team projects, open-source contributions beyond course solutions) and limited real-world experience beyond academic exercises suggests a need for further validation of collaborative and practical application skills.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.