M Poornachandra

Data Scientist

https://talent.gravityer.com/m-poornachandra

AI Tech Lead @ 4Good.AI | Building production-ready AI Systems | Professional GitHub → @Poornachandra102

4Good.AI

Key Strengths

Demonstrated experience with various AI/ML project types including MLOps pipelines, conversational AI, RAG, and traditional ML models.
Proficiency in Python, Jupyter Notebook, and related data science libraries.
Exposure to end-to-end ML project lifecycle from EDA to deployment (e.g., Customer Churn Prediction project).
Experience with specialized hardware optimization (AMD Instinct MI300X) indicates an understanding of performance considerations.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong focus on AI/ML, which aligns well with a Data Scientist role. The diversity of projects (video AI, chatbots, RAG, churn prediction, image classification) suggests a broad interest in different applications of AI. However, the experience level is listed as 0, and the current role start date is in the future (2026), which makes it difficult to assess real-world team collaboration or long-term commitment. The projects are all personal, which is common for early-career professionals but limits insight into collaborative work environments.

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief, and there are no completed psychometric or communication tests.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

KAIO-SIGHT-

December 26, 2025 – Present

An end-to-end Video AI pipeline and MLOps system optimized for AMD Instinct MI300X — featuring automated ETL, training, inference, experiment tracking.

View Project

amd-unsolth-aiac-synthetic-agents

October 25, 2025 – November 5, 2025

amd-unsolth-aiac-synthetic-agents — GitHub repository

View Project

food_business_chatbot

April 5, 2024 – April 6, 2024

Conversational AI chatbot integrated with FastAPI based fullstack application

View Project

AI_Research_Tool

February 2, 2024 – April 8, 2024

Webscraping based RAG pipeline

View Project

NLP

December 12, 2023 – March 29, 2024

NLP — GitHub repository

View Project

Hands_On_ML

October 3, 2023 – December 6, 2023

Programs executed in class

View Project

Customer_Churn_Prediction

September 18, 2023 – October 29, 2023

End to end process of EDA, ML Model building and deployment using flask on churn data

View Project

youtube-channel-analysis-

September 8, 2023 – March 21, 2024

video metric analysis using youtube API and storing the data in a csv

View Project

custom_cnn

August 23, 2023 – August 23, 2023

custom_cnn — GitHub repository

View Project

Transfer_learning

August 13, 2023 – March 21, 2024

multiclass image classification using resent50

View Project

Key Strengths

Demonstrated experience with various AI/ML project types including MLOps pipelines, conversational AI, RAG, and traditional ML models.
Proficiency in Python, Jupyter Notebook, and related data science libraries.
Exposure to end-to-end ML project lifecycle from EDA to deployment (e.g., Customer Churn Prediction project).
Experience with specialized hardware optimization (AMD Instinct MI300X) indicates an understanding of performance considerations.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are brief, and there are no completed psychometric or communication tests.

M Poornachandra

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit