Roshan Nilofar

Data Scientist

https://talent.gravityer.com/roshan-nilofar

Never stop learning new things.

Chennai, Tamil Nadu, India

Key Strengths

Exposure to various data science tools and languages (Python, R, Jupyter Notebook).
Demonstrated interest in data analysis and machine learning through personal projects like 'Activity Recognition' and 'Traffic_Density'.
Experience with GitHub for project management and version control.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on individual contributions and personal learning. The diversity of project topics (weather API, HR analytics, sales analysis, activity recognition, traffic density) indicates a broad interest in applying data science techniques across different domains. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit for a collaborative senior role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

Databricks

February 23, 2021 – February 23, 2021

Databricks — GitHub repository

View Project

WebAPI

February 22, 2021 – February 22, 2021

Weather App API

View Project

HR-Analytics

July 16, 2020 – July 16, 2020

Analytics Vidhya Problem Statement Solutions

View Project

Big-Mart-Sales-Analysis-in-R

July 14, 2020 – July 15, 2020

Big-Mart-Sales-Analysis-in-R — GitHub repository

View Project

Activity-Recognition

July 5, 2020 – July 5, 2020

Activity Recognition using Random Forests in R

View Project

UCI-HAR-Data-Cleaning

April 24, 2020 – April 24, 2020

UCI-HAR-Data-Cleaning — GitHub repository

View Project

RStudio-sample

April 6, 2020 – April 6, 2020

Data science

View Project

yolo

January 30, 2020 – March 24, 2023

yolo — GitHub repository

View Project

Traffic_Density

February 1, 2019 – February 23, 2019

Traffic_Density — GitHub repository

View Project

Key Strengths

Exposure to various data science tools and languages (Python, R, Jupyter Notebook).
Demonstrated interest in data analysis and machine learning through personal projects like 'Activity Recognition' and 'Traffic_Density'.
Experience with GitHub for project management and version control.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Roshan Nilofar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit