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AI Engineer
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Cancer_Prediction
July 17, 2023 – August 7, 2023
This is a web application built with FastApi that allows users to predict the likelihood of lung cancer based on various input features. The application utilizes a machine learning model trained on a dataset of survey responses related to lung cancer.
View ProjectPowerbi_Reports
July 10, 2023 – September 12, 2023
This repository contains Power BI ⚡️⚡️⚡️ reports generated for Amazon, a supermarket dataset, and Coca-Cola sales data. Each report is stored in a separate file format (.pbix and .xlsx)⚡️⚡️⚡️.
View ProjectNext_Word_Recommendation
July 3, 2023 – July 26, 2023
Next_Word_Recommendation — GitHub repository
View ProjectZomato_Analysis_Prediction
June 21, 2023 – July 26, 2023
Zomato_Analysis_Prediction — GitHub repository
View ProjectFlower_Classification
June 19, 2023 – July 26, 2023
This project focuses on Flower Classification using TensorFlow and OpenCV. Python libraries are utilized for visualization, and the Computer Vision package is installed for image-related tasks. TensorFlow is employed for the core machine learning part, and PIL (Python Imaging Library) is used for image analysis
View ProjectDeep_Learning
June 5, 2023 – July 26, 2023
Welcome to the Deep Learning Repository! This repository serves as a comprehensive collection of Jupyter notebooks, exploring various deep learning concepts and applications. Whether you are a beginner or an experienced deep learning enthusiast, this repository offers a wide range of practical exercises, models, and predictions.
View Projectclustering-and-Ensemble-techniques
May 24, 2023 – July 26, 2023
Welcome to the Machine Learning Repository - Part 4! This repository focuses on unsupervised machine learning algorithms, particularly clustering techniques, and explores the fascinating world of ensemble methods, including boosting and bagging.
View Projectuser_admin_crud
March 6, 2023 – July 26, 2023
Welcome to the User Admin CRUD project! This project focuses on creating a user sign-up and login system using Django ⚡️⚡️⚡️ and MySQL database ⚡️⚡️⚡️.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on core data science and machine learning tasks. While this shows initiative, the lack of team-based projects, diverse industry applications, or contributions to open-source projects limits the assessment of cultural fit for a collaborative professional environment. The projects align with the technical aspects of a Data Scientist role but do not provide insight into broader organizational fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and there are no psychometric or English test scores available for evaluation.