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Sales-Dashboard-Excel
August 6, 2024 – August 6, 2024
This project leverages MS Excel to clean and pre-process sales data, analyze various metrics, and create a dynamic dashboard that visualizes key performance indicators (KPIs) such as sales trends, category performance, regional sales, top products, and profit margins.
View ProjectTwitter-Sentiment-Analysis
March 3, 2024 – March 6, 2024
This project conducts sentiment analysis on Twitter data using machine-learning techniques. It classifies tweets into positive, negative, or neutral sentiments, providing insights into public opinion trends. Models such as Naive Bayes, SVM, and Logistic Regression are employed, with evaluation based on accuracy, F1-score, and ROC-AUC metrics.
View ProjectDog-Vision
February 8, 2024 – February 8, 2024
This project aims to develop a ML model for identifying dog breeds from images using TensorFlow and the MobileNetV2 architecture with the Adam optimizer. The objective is to create an accurate model that can recognize various dog breeds, providing insights into dog vision and aiding in applications such as pet care and breed recognition.
View ProjectBulldozer-Price-Prediction
January 24, 2024 – January 28, 2024
This project employs machine-learning techniques to predict bulldozer prices based on a variety of features, including equipment specifications and usage history. The goal is to develop a model that facilitates informed decision-making in the heavy machinery market by providing accurate price predictions.
View ProjectHeart-Disease-Classification
January 19, 2024 – January 28, 2024
This data science project is focused on developing a machine-learning model to classify heart disease based on various features. The primary goal is to predict the likelihood of a person having heart disease, providing valuable insights for early diagnosis and intervention.
View ProjectCinema-Booking-System-Backend
December 21, 2023 – December 21, 2023
The Cinema Booking System is a user-friendly MySQL solution crafted to streamline cinema operations. Designed for easy integration into any MySQL environment, this project empowers administrators to seamlessly manage bookings, customer data, film details, and auditorium schedules, providing a solid foundation for an optimal cinema experience.
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on data science and machine learning, which may align with roles requiring analytical skills. However, the projects are all personal and lack team collaboration or real-world application context. The absence of professional experience or diverse project types makes it difficult to fully assess cultural fit beyond a basic alignment with data-driven problem-solving.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.