Data Analysis/Python/MySQL/Cloud computing, ML

Python Projects
Sales Forecasting Model: - Built a linear regression model in Python to forecast company sales, leveraging historical data analysis, feature engineering, and EDA for accurate predictions.
Statify: -Analysed company manufacturing data using ANOVA and T-tests, identifying significant factors affec product quality and providing insights for optimizing production processes.
AnomalyDetect: - Performed fraud detection in financial transactions using EDA, PCA, K-Means clustering, and Zscore analysis, successfully identifying anomalous patterns and potential fraud case PandemicPredict :-D eveloped predictive models using Logistic Regression, Decision Tree, and Random Forest to forecast COVID-19 risk in Indian states, achieving high accuracy. Enhanced public health decision-making by analysing demographic data and implementing data pre-processing, EDA, and model evaluation techniques.
[ 01/09/2024 – 24/10/2024 ]
Hadoop CLI with Python for Big Data Analytics Hadoop Flight Insights: -Configured and managed Hado clusters locally and on Google Cloud using Dataproc. Uploaded and processed large datasets (Flight Prices) with MapReduce jobs to analyse average flight prices, frequent routes, and price distributions. Utilized Hive for queryi and analysing data, ensuring efficient resource management and job execution across the cluste
[ 01/09/2024 – 10/10/2024 ]
MySQL PropertyMatrix:-This project involves designing a comprehensive real estate database using MySQL, focusing on property management, transactions, and client-agent relationships. It integrates advanced ER design, SQL queries, JOIN operations, normalization, and the CAP theorem to ensure data consistency, availability, and partition tolerance in real-time operations.