Sai Sadhasivam

Data Scientist

https://talent.gravityer.com/sai-sadhasivam

Building intelligent systems. Bridging business and data to shape the future.

Simplify.AI

Key Strengths

Demonstrated experience in end-to-end machine learning project deployment, including EDA, feature engineering, model selection, API development (Flask), and containerization (Docker).
Proficiency in Python for data analysis and machine learning tasks.
Experience with MLOps concepts, as indicated by the 'tourism-mlops-project'.
Exposure to various machine learning applications, including lead conversion prediction, promotion prediction, image classification, and clustering.
Practical experience with Streamlit for building interactive data applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in diverse ML applications. The current role as a Data Scientist at Simplify.AI aligns well with the target role. However, the lack of team-based project descriptions or collaborative work details makes it difficult to fully assess cultural fit beyond individual initiative.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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

tourism-mlops-project

April 12, 2026 – Present

Advanced Machine Learning and MLOps project for tourism package prediction

View Project

lead-conversion-ml-deployment

January 31, 2026 – Present

End-to-end machine learning system to predict lead conversion for an EdTech business. Covers EDA, feature engineering, model selection and tuning, Flask API, Dockerized backend, and Streamlit frontend deployed on Hugging Face.

View Project

intelligent-resume-based-job-suggestion

January 25, 2026 – Present

Smart ranking of contextually relevant job listings

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brain-tumor-image-classification

January 25, 2026 – Present

Trained models: custom CNN and pretrained models (.h5)

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multiclass-fish-image-classification

January 25, 2026 – Present

CNN and pre-trained models saved in .h5 or .pkl format

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amazon-music-clustering

January 25, 2026 – Present

Generate distinct clusters of songs that reflect underlying similarities in audio features

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content-monetization-modeler

January 25, 2026 – Present

A trained and evaluated Regression model to predict ad revenue.

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productspace-ai-product-hackathon-2026

January 24, 2026 – Present

AI Product Hackathon 2026 by ProductSpace - Product teardown, problem discovery, and prototype case study on TwinMind

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phonepe-transaction-insights

January 19, 2026 – Present

End-to-end analysis of PhonePe Pulse data using SQL, Python, and Streamlit

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Employee-Promotion-Prediction

October 10, 2025 – October 10, 2025

Promotion prediction ML project — UAT Austin

View Project

Key Strengths

Demonstrated experience in end-to-end machine learning project deployment, including EDA, feature engineering, model selection, API development (Flask), and containerization (Docker).
Proficiency in Python for data analysis and machine learning tasks.
Experience with MLOps concepts, as indicated by the 'tourism-mlops-project'.
Exposure to various machine learning applications, including lead conversion prediction, promotion prediction, image classification, and clustering.
Practical experience with Streamlit for building interactive data applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Sai Sadhasivam

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit