
Data Science & AI
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Commtel Networks
Data Scientist
June 25, 2026 – Present
agentic-rag-predictive-maintainence
March 29, 2026 – Present
This project implements an Agentic RAG pipeline using LangGraph to solve real-world telecom troubleshooting problems. It combines hybrid retrieval, metadata filtering, and structured LLM outputs to provide actionable maintenance steps.
View ProjectAI-Assistant-End-to-End-
March 11, 2026 – Present
AI-Assistant-End-to-End- — GitHub repository
View ProjectRAG-Agentic-RAG-Implementation
March 6, 2026 – Present
RAG-Agentic-RAG-Implementation — GitHub repository
View ProjectBlogs-Summarization-and-Recommendation
May 15, 2019 – May 15, 2019
Blogs-Summarization-and-Recommendation — GitHub repository
View ProjectH1-B-Visa-Prevailing-Wage-Prediction
April 28, 2019 – April 28, 2019
H1-B-Visa-Prevailing-Wage-Prediction — GitHub repository
View ProjectLTFS-Loan-Default-Prediction
April 28, 2019 – April 28, 2019
LTFS-Loan-Default-Prediction — GitHub repository
View ProjectVideo-Games-Sales-Analysis
March 27, 2019 – March 27, 2019
Video-Games-Sales-Analysis — GitHub repository
View ProjectIMDB_Movie_Review_Analysis
March 27, 2019 – March 27, 2019
This project will help us get to know if the critic rating is accurate enoght or not. Also it will provide a sentimental analysis based on the top reviews of movies.
View ProjectAirbnb_price_prediction
February 18, 2019 – February 18, 2019
Airbnb_price_prediction — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards data science and machine learning, aligning with a Data Scientist role. However, the experience section indicates a future start date (2026-06-25), suggesting a lack of current professional experience. The project descriptions are brief, making it difficult to fully assess the depth of involvement and collaboration. The diversity of projects is good, but the lack of professional experience limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.