Software Engineer passionate about Big Data.
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Amazon
Data Scientist
June 16, 2026 – Present
YouTube-Trending-Video-Analysis
January 27, 2023 – January 27, 2023
YouTube-Trending-Video-Analysis — GitHub repository
View Projectrecommendation-system
June 2, 2022 – June 3, 2022
recommendation-system — GitHub repository
View ProjectCompetitive-Programming-Files
November 16, 2021 – January 20, 2022
Competitive-Programming-Files — GitHub repository
View ProjectFlask-REST-API
September 20, 2021 – October 6, 2021
REST API created using flask to access the videos using the given id.
View ProjectDexter-CRM
June 1, 2021 – July 15, 2021
Customer Relationship Management made using Django+PostgreSQL
View ProjectDeepLearning-Files
March 2, 2021 – August 1, 2021
Deep Learning using Tensorflow 2.0 and Keras
View ProjectFruits360-Using-PyTorch
June 29, 2020 – January 2, 2021
Fruits classification using PyTorch on kaggle dataset
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in data science and machine learning. The projects are diverse in their application areas (e.g., recommendation engines, image classification, video analysis, REST APIs). However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to assess collaboration and broader cultural fit. The experience level is listed as 0, despite a current role at Amazon, which suggests a potential discrepancy or very recent entry into the professional field. The target role of 'Data Scientist' aligns well with the project themes.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, and there are no other indicators.