Projects in Awesome Lists by MNitin-Reddy
A curated list of projects in awesome lists by MNitin-Reddy .
https://github.com/mnitin-reddy/reducing-review-overhead-with-ml-based-application-screening
A machine learning classification project to filter out low-probability visa applications using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
aws docker githubactions hypothesistesting machinelearning matplotlib mlflow mlops mongodb numpy optuna pandas python scikit-learn seaborn
Last synced: 09 Apr 2025
https://github.com/mnitin-reddy/anomaly-detection-in-server-networks
This project implements an anomaly detection algorithm to identify failing servers in a network. The model is trained on a dataset with throughput and latency features, estimating parameters for anomaly detection. The approach is extended to a high-dimensional dataset, showcasing its effectiveness in detecting outliers and anomalies
anamoly data-science machine-learning matplotlib numpy pyhton seaborn
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/predicting-us-visa-approval-using-ml
A machine learning classification project that predicts US visa approvals using historical data. It features an end-to-end implementation with CI/CD on AWS, achieving 93% accuracy with a KNN model optimized through Optuna, alongside integration of MLOps tools like Evidently and MLflow.
Last synced: 15 Dec 2024
https://github.com/mnitin-reddy/optimizing-insurance-premiums-with-predictive-claim-analysis
Last synced: 08 Mar 2025
https://github.com/mnitin-reddy/deep-learning-repo
Deep Learning Playground: A collection of small projects, experiments, and practice notebooks exploring various deep learning concepts and techniques.
Last synced: 21 Feb 2025
https://github.com/mnitin-reddy/customer-insights-and-marketing-roi-analysis-using-sql-server-and-power-bi
Analyzed Marketing Effectiveness, Customer data, Sales and more using SQL Server to uncover insights on retention rates, revenue trends, and marketing effectiveness. Power BI dashboards to visualize regional revenue, product preferences, and customer behavior, supporting data-driven decision-making.
microsoftsqlserver powerbi sql sqlserver
Last synced: 26 Mar 2025
https://github.com/mnitin-reddy/content-based-recommendation-system-using-deep-learning
A content-based movie recommendation system using deep learning to predict user ratings by leveraging user and movie features. The system integrates neural networks for feature extraction, utility scripts for data processing, and supports both new and existing user recommendations.
deep-learning keras neural-networks numpy pandas python scikit-learn tensorflow
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/a-b-testing-and-regression-analysis-for-ad-performance-optimization
Analyzed the performance of Facebook and AdWords ads using A/B testing and regression analysis to identify trends, correlations, and cost-effectiveness. Key insights included distribution of clicks and conversions, monthly trends, and cost-per-conversion analysis to optimize ROI.
abtesting data-science hypothesis-testing machine-learning matplotlib numpy pandas scikit-learn scipy seaborn statsmodels
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/image-compression-using-k-means-clustering
This project implements the K-means algorithm for clustering and image compression. It reduces the number of colors in an image using K-means, achieving compression while maintaining key visual features. The project demonstrates the process on a sample dataset and a real image.
image-processing imagecompression kmeans-clustering machine-learning matplotlib numpy
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/sql-hackerrank---advanced-certification-problems
These are my solutions for the Advanced SQL Certification Test on HackerRank
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/superstore-analysis-sql
This project analyzes sales data to derive insights on revenue, customer behavior, and product performance. It includes visualizations for branch performance, customer demographics, and trends, aimed at driving strategic business decisions.
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/coffee-shop-sales-analytics
This project analyzes coffee shop sales data to uncover key insights, focusing on customer behavior, product performance, and sales trends. Using Pandas, Matplotlib, and Seaborn, the analysis identifies peak sales hours, popular product categories, and opportunities for upselling or bundling.
datasceince datavisualization exploratory-data-analysis matplotlib numpy pandas python seaborn
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/summer-olympics-data-analysis-web-app
An interactive web app for exploring trends in Olympic Games history, analyzing overall medal tallies, country-wise performance, and athlete demographics. Built with Python and Streamlit, this app offers insights through visualizations and data-driven statistics.
dataanalytics matplotlib numpy pandas python seaborn streamlit
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/gwg-cyclistic-case-study
Conducted an analysis of bike ride data to extract insights distinguishing between the behaviors of casual riders and subscribed members. Identified trends from this analysis to inform Cyclistic's marketing strategy team on the effectiveness in targeting specific efforts on each category of riders
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/bank-lending-data-analytics
This project analyzes a bank’s loan data to provide valuable insights into loan performance, repayment trends, and factors influencing loan defaults. Using Tableau, the dashboard visualizes key metrics like loan status, repayment success rates, loan amounts, and demographic factors, helping identify high-risk regions and loan categories.
datanalytics datavisualization mysql tableau
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/collaborative-filtering-based-recommendation-system
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
collaborative-filtering numpy pandas popularity-based-recommendation python recommendation-system scikit-learn
Last synced: 02 Apr 2025
https://github.com/mnitin-reddy/powerbi-dax-sandbox
A DAX experimentation repo for testing and optimizing Power BI calculations. Includes examples on aggregations, time intelligence, dynamic measures, filtering, ranking, and performance tuning. Perfect for practicing advanced DAX concepts and improving report efficiency.
Last synced: 28 Feb 2025
https://github.com/mnitin-reddy/optimizing-e-commerce-logistics-and-customer-segmentation-using-machine-learning
This project applies machine learning to optimize e-commerce logistics and customer segmentation. By predicting delivery delays and cancellations using classification models and identifying customer segments with clustering techniques, it helps improve operational efficiency and targeted marketing strategies.
classification clustering customer-segmentation dbscan-clustering exploratory-data-analysis feature-engineering feature-extraction machine-learning marketing-analytics
Last synced: 17 Mar 2025
https://github.com/mnitin-reddy/natural-language-processing
NLP Sandbox: A collection of projects and experiments on text classification, embeddings, Word2Vec, and other NLP concepts and techniques
Last synced: 21 Feb 2025