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Agentic AI and genAI Architect
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
VC-Research-Multi-Agent-System
February 27, 2026 – Present
VC-Research-Multi-Agent-System — GitHub repository
View ProjectLanggraph_Agent_with_React_and_FastAPI
November 15, 2025 – November 15, 2025
Langgraph_Agent_with_React_and_FastAPI — GitHub repository
View Projectstreamlit_plus_plus
November 5, 2025 – November 5, 2025
streamlit_plus_plus — GitHub repository
View Projectexpense_reimbursement_conversational_agent
November 4, 2025 – November 4, 2025
expense_reimbursement_conversational_agent — GitHub repository
View ProjectPowerBI-for-datascience
June 1, 2023 – June 1, 2023
PowerBI-for-datascience — GitHub repository
View ProjectTableau-for-data-science
May 8, 2023 – May 8, 2023
Tableau-for-data-science — GitHub repository
View ProjectNatural-Language-Generation---NLP-DL
October 21, 2018 – October 21, 2018
A language model that can predict the probability of next word in the sequence, based on the word already observed in the sequence You will discover how to develop a statistical language model using deep learning in Python. In this article, How to prepare text for developing a word-based language model. How to design and fit a neural language model with a learned embedding and an LSTM hidden layer. How to use the learned language model to generate new text with similar statistical properties as the source text.
View ProjectMachine-Learning-Algorithm-in-R
May 29, 2016 – July 11, 2016
Machine-Learning-Algorithm-in-R — GitHub repository
View ProjectBigmartsalesprediction
March 25, 2016 – March 25, 2016
The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store. Using this model, BigMart will try to understand the properties of products and stores which play a key role in increasing sales.Please note that the data may have missing values as some stores might not report all the data due to technical glitches. Hence, it will be required to treat them accordingly.
View ProjectCultural Fit Analysis
The candidate's personal projects show a proactive learning approach and an interest in diverse areas within data science, including machine learning, NLP, and data visualization. This indicates a potential for adaptability and continuous learning, which are positive cultural fit indicators. However, the lack of team-based projects or professional experience limits a deeper assessment of collaboration and work style.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.