Navin Chandra

Data Scientist

https://talent.gravityer.com/navin-chandra

OSPO @LambdaTest | Committer @SeleniumHQ and @appium | LFX'24 @KubeArmor | GSoC Mentor @openSUSE |GSoC '22 '23 @openSUSE

@LambdaTest

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (GSOC_Stock_prediction, Travel_Itinerary_Planner, AI_Story_Generator, Retail_product_segmentation).
Experience with Python, Jupyter Notebook, and Dockerfile, which are relevant technologies for a Data Scientist role.
Exposure to machine learning concepts like stock prediction, story generation, and retail product segmentation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a mix of Data Science related projects and Appium/JavaScript development. While the Data Science projects align with the target role, the significant number of Appium-related projects (typescript, JavaScript, Shell) suggests a broader interest or prior focus that may not directly align with a dedicated Data Scientist role. The current experience lists 'Data Scientist' at '@LambdaTest' but with a future start date and no listed skills, making it difficult to fully assess current cultural fit or specific contributions.

Soft Skills & Operational Fit

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

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

appium-mcp-documentation

June 5, 2026 – Present

appium-mcp-documentation — GitHub repository

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appium-mcp

June 11, 2025 – Present

Appium MCP on Steroids!

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appium-ios-remotexpc

April 17, 2025 – Present

A Node.js library that enables communication with iOS devices using remote XPC services. It supports device lockdown, property-list (plist) handling, system-log access, IPv6 tunneling to iOS devices, and more. Originally built for Appium automation.

View Project

AI_Story_Generator

September 9, 2023 – April 14, 2024

Generate stories of different genres from image or text

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Retail_product_segmentation

July 15, 2023 – July 25, 2024

Segment typical products on a retail shelf through Machine Learning techniques and find similar fashion items in a retail fashion store through vector embeddings

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Travel_Itinerary_Planner

January 22, 2023 – January 26, 2023

API for retrieving travel itinerary based on user's budget and interests

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Foresty

December 24, 2022 – January 5, 2023

A solution to tackle climate change

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ForestyBackend

December 23, 2022 – June 21, 2024

The backend for the Foresty project.

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GSOC_Stock_prediction

June 23, 2022 – Present

Predict stock prices for short/long term using machine learning models and then deploy them on edge-core-cloud infrastructure using a data pipeline.

View Project

appium-xcuitest-driver

December 8, 2015 – Present

Appium iOS driver, backed by Apple XCTest

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects (GSOC_Stock_prediction, Travel_Itinerary_Planner, AI_Story_Generator, Retail_product_segmentation).
Experience with Python, Jupyter Notebook, and Dockerfile, which are relevant technologies for a Data Scientist role.
Exposure to machine learning concepts like stock prediction, story generation, and retail product segmentation.

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 insight.

Navin Chandra

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit