Ex Software Engineer at Amazon Web Services
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amazon Web Services
Data Scientist
June 16, 2026 – Present
BudgetForecast
August 15, 2025 – Present
Kharchu is a full-stack, AI-powered financial application designed to ingest historical spend data and generate highly accurate future budget forecasts by leveraging Machine Learning models
View ProjectGossipAlgorithm-DOS
December 7, 2020 – December 7, 2020
GossipAlgorithm-DOS — GitHub repository
View ProjectTimeSeriesForecasting-MachineLearning
December 7, 2020 – December 7, 2020
TimeSeriesForecasting-MachineLearning — GitHub repository
View ProjectBilateralFilter-MATLAB
December 7, 2020 – December 7, 2020
BilateralFilter-MATLAB — GitHub repository
View ProjectAlphaBlending-MATLAB
December 7, 2020 – December 7, 2020
AlphaBlending-MATLAB — GitHub repository
View ProjectCameraCalibration-MATLAB
December 7, 2020 – December 7, 2020
CameraCalibration-MATLAB — GitHub repository
View ProjectTicTacToe-MachineLearning
December 7, 2020 – December 7, 2020
TicTacToe-MachineLearning — GitHub repository
View ProjectDeepColorization-DeepLearning
October 29, 2020 – November 10, 2020
DeepColorization-DeepLearning — GitHub repository
View Projecttime-series-forecasts
February 22, 2020 – December 8, 2022
Multiple Machine Learning algorithms including Neural Networks are used to forecast the demand of products to help organizations plan their warehousing needs.
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on Machine Learning and Data Science, aligning with a Data Scientist role. However, the diversity of technologies used in projects (e.g., F#, PHP, NASL) alongside core data science tools might indicate a broad but potentially unfocused exploration, or a lack of depth in specific areas. The experience level is listed as 0, which contradicts the current role at AWS, suggesting a data inconsistency or a very recent start. This makes it difficult to fully assess cultural fit beyond technical alignment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.