Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for data analysis and machine learning tasks.
Familiarity with various data science applications including predictive modeling (Heart Disease Prediction, Social Media Campaign Performance Analysis) and optimization (Maritime Cost-Route Optimization Analysis).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate initiative. However, the diversity of technologies outside of Python for data science is limited, and there's a lack of collaborative or team-based project experience visible. The current role as 'Data Scientist' at GeoServe is a good fit for the target role, but the start date in the future (2026) suggests this is a prospective or placeholder entry, making it difficult to assess actual professional experience or cultural fit within a team.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed or results are unavailable.

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N4V.

Data Scientist

https://www.opentalent.in/n4v

Jack of all trades, mastering them all.

GeoServe

MumbaiMember since June 14, 2026

https://www.opentalent.in/n4v

Top Skills

HTMLJavaScriptPythonJupyter Notebook

Skills

HTMLJavaScriptPythonJupyter Notebook

Experience

GeoServe

Data Scientist

June 14, 2026 – Present

Projects

autopilot

June 4, 2026 – Present

autopilot — GitHub repository

View Project

geoform-monitor

June 3, 2026 – Present

Monitor for tracking and managing vessel and errors

View Project

acushnet-ghost-forensics

April 23, 2026 – Present

SQL-based intelligence framework for detecting and analyzing "Ghost Brand" market incursions. Developed to identify coordinated market share hijacking and calculate financial exposure within the APAC region.

Global-Retail-Sales-Analytics-Data-Pipeline-

January 28, 2026 – Present

Global-Retail-Sales-Analytics-Data-Pipeline- — GitHub repository

View Project

Maritime-Cost-Route-Optimization-Analysis

December 22, 2025 – Present

Maritime-Cost-Route-Optimization-Analysis — GitHub repository

View Project

Social-Media-Campaign-Performance-Analysis-

September 27, 2025 – September 28, 2025

This project analyzes social media ad campaigns to optimize sales conversion and predict total conversions. It is built in Python and uses a Random Forest Regressor to forecast conversions based on ad performance metrics and user demographics.

View Project

Churn-Rate-Analysis-

September 18, 2025 – September 28, 2025

This project involves building an interactive Call Center Analysis Dashboard using Power BI to uncover insights into customer experience, agent performance, and operational efficiency. The goal is to monitor KPIs in real-time, identify trends, and highlight areas for improvement in call center operations to reduce churn and enhance customer satisf

View Project

Heart-Disease-Prediction

September 8, 2025 – September 8, 2025

A machine learning project that predicts the presence of heart disease based on clinical features such as age, sex, blood pressure, cholesterol, and more. Built with Python and Logistic Regression, achieving ~82% accuracy on test data.

View Project

Key Strengths

Demonstrated interest in Data Science through multiple personal projects.
Experience with Python for data analysis and machine learning tasks.
Familiarity with various data science applications including predictive modeling (Heart Disease Prediction, Social Media Campaign Performance Analysis) and optimization (Maritime Cost-Route Optimization Analysis).

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, indicating no assessment was completed or results are unavailable.