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Programmer | Machine Learning Enthusiast
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Entity-Resolution-Knowledge-Graphs
January 27, 2026 – Present
Entity-Resolution-Knowledge-Graphs — GitHub repository
View ProjectCredit-Card-Churn-Prediction
February 12, 2025 – March 8, 2025
Credit-Card-Churn-Prediction — GitHub repository
View ProjectAuto_Trader
September 4, 2024 – Present
AutoTrader Bot is a Python-based stock trading bot for Indian markets, using indicators like MACD, RSI, and EMA. It integrates with Zerodha Kite for real-time trading and supports customizable strategies.
View ProjectNYC-Taxi-Prediction
March 12, 2024 – March 12, 2024
NYC-Taxi-Prediction — GitHub repository
View ProjectNeptune-Gremlin-Pipeline
January 16, 2024 – January 26, 2024
A ETL Pipeline created using Apache Airflow to load data to Amazon Neptune and Run Graph Algorithms on Customer Data
View Projecttwitter-data-pipeline
January 15, 2024 – January 15, 2024
A ETL Pipeline created using Apache Airflow
View ProjectB2B-invoice-management-system
June 28, 2021 – July 10, 2021
B2B-invoice-management-system — GitHub repository
View ProjectToxic-comment-classification
June 8, 2021 – June 8, 2021
Toxic-comment-classification — GitHub repository
View ProjectPredicting-Credit-Card-Spend
June 8, 2021 – June 8, 2021
Predicting-Credit-Card-Spend — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects demonstrate a broad interest in various technical domains, including finance, data science, and web development. This diversity suggests adaptability and a willingness to explore different technologies. However, without information on team-based projects or professional experience, it is difficult to fully assess cultural fit. The target role 'Programmer' is broad, and the candidate's diverse project portfolio aligns with a general programming role, indicating a foundational fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style.