vivekssm

Data Scientist

https://talent.gravityer.com/vivekssm

Data Analyst - PWC

Data analyst

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'Logistic-regression', 'EDA-Linear-regression', and 'forest-fire-detection'.
Experience with Python and Jupyter Notebook for data analysis and scripting.
Initiative in exploring web scraping ('scrapper', 'Web-scrapping') and stock analysis ('stock_screener').

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a self-driven approach to learning and applying data science concepts. The diversity of projects (EDA, regression, web scraping, stock analysis) indicates a broad interest within the data domain. However, the lack of team-based projects or detailed descriptions makes it difficult to fully assess cultural fit beyond individual initiative.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or 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

stock_screener

May 3, 2026 – Present

Screens undervalued stocks

View Project

pesto_data_engg.

March 28, 2024 – March 28, 2024

pesto_data_engg. — GitHub repository

View Project

pesto

March 28, 2024 – March 28, 2024

pesto — GitHub repository

View Project

Web-scrapping

September 7, 2022 – September 12, 2022

Web-scrapping — GitHub repository

View Project

Logistic-regression

July 7, 2022 – July 7, 2022

Logistic-regression — GitHub repository

View Project

EDA-Linear-regression

July 3, 2022 – July 3, 2022

EDA-Linear-regression — GitHub repository

View Project

EDA-ML---S.-Projects

April 6, 2022 – January 13, 2024

EDA-ML---S.-Projects — GitHub repository

View Project

scrapper

March 2, 2022 – December 3, 2022

scrapper — GitHub repository

View Project

powerbi

July 7, 2021 – December 21, 2023

powerbi — GitHub repository

View Project

forest-fire-detection

May 8, 2019 – May 8, 2019

forest-fire-detection — GitHub repository

View Project

Key Strengths

Demonstrated interest in data science and machine learning through personal projects like 'Logistic-regression', 'EDA-Linear-regression', and 'forest-fire-detection'.
Experience with Python and Jupyter Notebook for data analysis and scripting.
Initiative in exploring web scraping ('scrapper', 'Web-scrapping') and stock analysis ('stock_screener').

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.

vivekssm

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit