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Maharshi Relia | Gravity Talent Portal

Maharshi Relia

Maharshi Relia

Data Scientist

https://talent.gravityer.com/maharshi-relia

Building Products @ Philips

Philips India Ltd

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Bengaluru, Karnataka, IndiaMember since June 13, 2026

https://talent.gravityer.com/maharshi-relia

Top Skills

HTMLC++PythonJupyter NotebookCSSJavaScriptPHPHacktypescriptPL/pgSQLPowershellDockerfile

Skills

HTMLC++PythonJupyter NotebookCSSJavaScriptPHPHacktypescriptPL/pgSQLPowershellDockerfile

Experience

Philips India Ltd

Data Scientist

June 13, 2026 – Present

Projects

hotelhospice

June 7, 2026 – Present

hotelhospice — GitHub repository

search_restaurant

October 17, 2023 – October 17, 2023

search_restaurant — GitHub repository

devops

July 21, 2023 – October 1, 2023

devops — GitHub repository

datascience

October 28, 2021 – October 28, 2021

datascience-practicals

dtppl

June 28, 2021 – June 28, 2021

Dharmanandan Website

social101

June 28, 2021 – June 28, 2021

social101_website

Smart-waste-management-system-on-aws-cloud

October 9, 2020 – September 14, 2021

Smart-waste-management-system-on-aws-cloud — GitHub repository

Full-Stack-Website

October 6, 2020 – October 12, 2020

Full-Stack-Website — GitHub repository

Smart_Waste_Management_System

March 12, 2020 – April 10, 2020

Getting dustbin data with the help of the NODEMCU ESP8266

Smart-Waste-Management-System

March 12, 2020 – April 10, 2020

Smart Dustbin using Internet of Things

Key Strengths

Demonstrated interest in Data Science through project 'datascience-practicals'.
Experience with Python, a core language for Data Science.
Exposure to IoT and cloud concepts (AWS) in waste management projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a mix of web development and data science interests. The current role as 'Data Scientist' at Philips India Ltd aligns with the target role. However, the experience level is 0, which contradicts the current role's start date in 2026, suggesting potential data inconsistency or a future start date. The project diversity is good, but depth in data science specific projects is limited.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data is available.