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pratik4511.github.io
April 28, 2024 – March 25, 2025
pratik4511.github.io — GitHub repository
View ProjectHazard-Management-Machine_Learning
April 11, 2024 – April 11, 2024
The project uses ML to predict, prevent, and manage incidents and hazards. It analyzes trends, predicts likelihood, and classifies hazards to enhance safety.
View ProjectHR-Analytics-for-Employee-Promotion-Prediction-Machine_Learning
April 11, 2024 – April 11, 2024
HR analytics is challenging due to manual data collection and analysis processes. This dataset was chosen to address the organization's challenge of identifying and preparing the right candidates for promotion. Machine learning will be used to predict the likelihood of promotion based on various factors.
View ProjectHR-Analytics-Predicting-Employee-Promotions-Machine_Learning
April 11, 2024 – April 11, 2024
HR analytics is challenging due to manual data collection and analysis processes. This dataset was chosen to address the organization's challenge of identifying and preparing the right candidates for promotion. Machine learning will be used to predict the likelihood of promotion based on various factors.
View ProjectFraud-Data-Guardian-Machine_Learning
April 11, 2024 – April 11, 2024
The goal of this project is to develop a machine learning model that can accurately identify fraudulent transactions in credit card transactions. The model will be trained on the provided dataset and evaluated based on its ability to correctly classify transactions as fraudulent or legitimate.
View ProjectModule_4_Group-4
December 3, 2022 – December 3, 2022
Module_4_Group-4 — GitHub repository
View ProjectMalaviya_M1_Quarter-3
November 12, 2022 – November 12, 2022
Malaviya_M1_Quarter-3 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven approach to learning and applying Machine Learning concepts. The diversity of project topics (HR, fraud, hazard management) indicates a broad interest in applying data science to different domains. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.