Sreenithi Sridharan

Data Scientist

https://talent.gravityer.com/sreenithi-sridharan

google

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Projects like 'Optimising-ML-Pipeline-in-Azure' and 'Reinforcement-Learning-Self-Balancing-Robot' show direct relevance to Data Science and Machine Learning.
Exposure to various programming languages (Rust, Java, Go, C++, Python) indicates versatility.
Experience with Jupyter Notebooks, essential for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in various technical areas, including robotics and gRPC, which indicates a proactive learning attitude. However, the diversity of projects, while showing breadth, doesn't consistently align with a senior Data Scientist role, suggesting potential for a broader engineering interest rather than deep specialization in data science. The current experience lists a Data Scientist role at Google, but with a future start date and no listed skills or responsibilities, making it difficult to assess cultural fit based on professional experience.

Soft Skills & Operational Fit

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

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

mcp-grpc-transport-proto

January 14, 2026 – Present

Proto for gRPC transport for MCP

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mcp-grpc-transport-py

January 14, 2026 – Present

mcp-grpc-transport-py — GitHub repository

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repro_protocolbuffers_23299

September 17, 2025 – September 17, 2025

repro_protocolbuffers_23299 — GitHub repository

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grpc-codelabs

August 14, 2024 – October 28, 2025

Completed codelabs from the gRPC project.

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Programming-Practice

June 23, 2021 – July 27, 2021

This repositories contains my code of some practice problems from online websites and general practice of some Data Structures and Algorithms

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Optimising-ML-Pipeline-in-Azure

January 5, 2021 – January 9, 2021

Optimising-ML-Pipeline-in-Azure — GitHub repository

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Home-Service-Robot

December 26, 2020 – January 1, 2021

Home-Service-Robot — GitHub repository

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Reinforcement-Learning-Self-Balancing-Robot

October 21, 2020 – October 21, 2020

A Self-balancing Robot Model trained with a Reinforcement Learning (RL) algorithm in ROS to make the robot learn to balance itself in a simulated environment in Gazebo

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Face-Tagging

August 31, 2020 – March 13, 2021

Face-Tagging — GitHub repository

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grpc.io

April 23, 2019 – Present

Repository for the gRPC website and documentation

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Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Projects like 'Optimising-ML-Pipeline-in-Azure' and 'Reinforcement-Learning-Self-Balancing-Robot' show direct relevance to Data Science and Machine Learning.
Exposure to various programming languages (Rust, Java, Go, C++, Python) indicates versatility.
Experience with Jupyter Notebooks, essential for data exploration and model development.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Sreenithi Sridharan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit