Data Engineering & Python Backend Expert | AWS, Scalable ETL, and AI-Driven Systems | Building Reliable, High-Performance Infrastructure
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
leetcode-dsa-sql-codes
July 13, 2025 – Present
You can find solutions for leetcode questions.
View Projectsummary-generator-ai-django-backend
February 2, 2025 – February 2, 2025
summary-generator-ai-django-backend — GitHub repository
View Projectasync-ecommerce-delivery-system-django-backend
December 14, 2023 – December 15, 2023
async-ecommerce-delivery-system-django-backend — GitHub repository
View Projectspam-mail-prediction-machine-learning
December 1, 2023 – December 5, 2023
Project still in progress
View Projectcustomer-segmentation-with-k-means-cluster-machine-learning
November 25, 2023 – November 27, 2023
Customer Segmentation using K-Means Clustering. This is an example of Market Basket Analysis in Machine Learning and Data Science.
View Projectdog-vs-cat-classification-with-transfer-learning
November 18, 2023 – November 28, 2023
In progress
View Projectcredit-card-fraud-detection-machine-learning
November 16, 2023 – November 17, 2023
credit-card-fraud-detection-machine-learning — GitHub repository
View Projectneural-network-number-detection-tensorflow-deep-learning
November 11, 2023 – November 20, 2023
In this project we will classify handwritten digits using a simple neural network which has only input and output layers. We will than add a hidden layer and see how the performance of the model improves.
View Projectmedical-insurance-cost-prediction-machine-learning
November 10, 2023 – December 12, 2023
medical-insurance-cost-prediction-machine-learning — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong initiative in personal projects, particularly in the data science domain, which aligns with a target role of Data Scientist. The diversity of ML projects (spam prediction, fraud detection, customer segmentation, image classification) indicates a broad interest in applying data science techniques. However, the lack of team-based projects or detailed descriptions limits the assessment of collaborative cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no completed psychometric or English tests to provide insights into communication or work attitude.