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Machine Learning Engineer | 🧠Building Intelligent Systems | 🛠️Automating Dashboards | 🤖AI/ML, Deep Learning, NLP & CV | Data Science, Power BI
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Attendance-Management-System
September 4, 2025 – December 29, 2025
Attendance management system for tracking and managing employee attendance Likely includes features such as marking attendance, generating reports, and managing employee records
View ProjectAmazon-Sales-Dashboard-Power-BI
August 20, 2025 – Present
This GitHub repository contains a Power BI dashboard for analyzing Amazon sales data. The project provides a comprehensive visual representation of sales data, enabling users to gain valuable insights and make informed business decisions.
View ProjectCanopy-Vision
August 14, 2025 – Present
The aim of this project is to predict the type of forest cover. This can assist forest management authorities, conservationists, and researchers in identifying vegetation distribution patterns, monitoring ecological changes, and optimizing land management strategies.
View ProjectMobile-Price-Analysis-Dashboard
August 9, 2025 – December 29, 2025
This repository contains a mobile price analysis dashboard, which is a web application that allows users to analyze and visualize data related to mobile phone prices. The dashboard provides various features and functionalities to help users understand the mobile phone market and make informed decisions.
View ProjectPhone-Kart-App
August 9, 2025 – December 29, 2025
The Phone Kart project is designed to develop a machine learning-based predictive system capable of classifying mobile phones into specific price categories based on their technical specifications. The primary aim is to assist online marketplaces, retailers, and customers in estimating the appropriate price range for a given phone configuration.
View ProjectHeart-Disease-Analysis-Dashboard
August 8, 2025 – December 29, 2025
Heart disease analysis dashboard project aims to provide insights and predictive models for heart disease diagnosis based on a clinical dataset. Analyzes a heart disease dataset with 1,025 patient records and 12 features Provides an overview of the dataset, including demographics and key features.
View ProjectML-Projects
August 4, 2025 – Present
This repository contains a collection of machine learning projects. The projects cover various domains, including computer vision, healthcare, and e-commerce. The repository includes Jupyter Notebook files for each project, as well as a video and a PowerPoint presentation providing insights into the projects.
View ProjectCardio-Divination
August 4, 2025 – Present
The Cardio Divination project aims to develop a predictive machine learning model for detecting the likelihood of heart disease in patients based on a set of clinical and demographic features. The primary goal is to aid healthcare professionals in early diagnosis and prevention by providing a reliable decision-support tool.
View ProjectZoo-Sorter
August 4, 2025 – Present
The primary objective of this project is to design, implement, and evaluate an advanced image classification system capable of accurately identifying animals from a given image. The project leverages deep learning techniques, particularly Convolutional Neural Networks to perform multi-class classification across 15 predefined animal categories.
View ProjectPhone-Kart
August 4, 2025 – Present
The Phone Kart project is designed to develop a machine learning-based predictive system capable of classifying mobile phones into specific price categories based on their technical specifications. The primary aim is to assist online marketplaces, retailers, and customers in estimating the appropriate price range for a given phone configuration.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focus on data science and machine learning, which aligns with the target role of Data Scientist. However, the lack of team-based projects or diverse industry experience limits the assessment of broader cultural fit. The projects show initiative and a passion for the field.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to work on self-directed projects, but collaboration, stress handling, and work attitude cannot be evaluated without psychometric test results or interview data.