skswar
Data Science Enthusiast with experience in SQL/ETL and BI Application Development; MSDS Student at University of Rochester; Ex. BI App Developer at TCS;
Rochester, NY
Pinned Repositories
Data_Engineering_Pipelines
🗄️ This repository is about how at No Financial Overhead, Python can be used to build ETL Data Pipelines an Automate them with Task Scheduler. 👷♂️
Explainable_ML_for_Production_Downtime_Shap
👨💻 This repository shows how machine learning and SHAP can be leveraged to understand the reasons of production downtime ⌛
Forecasting_ScrapTire_Receipt_ATD
🛞 This repository contains the code written to forecast scrap tire receipt rate at ATD distribution centers based on historical data ⏱📈
Manufacturing_Defect_Analysis_and_Visualization
🏭 This repository serves as a demonstration of how to analyze product defects and identify critical points within the product. By doing so, we can effectively troubleshoot and address potential issues to improve product quality and performance.
NYCitibike_Demand_Prediction_ML_Pipeline
🚴_ An End to End Machine Learning Pipeline to Predict Hourly Demand of NY Citi Bikes
Realtime_Machine_Downtime_Tracking_PowerBI
📊 Power BI report to track real time operating status with focus on its downtime with integrated ERP systems Data
Referral-Network-URMC
🔍 A Flask application that helps identify the bottlenecks in a specialty referral network.
Scratch_MachineLearning_Models
🤖 This repository contains the codes written to build the primitive machine learning models from scratch 👨🏽💻
skswar.github.io
💻 Personal website that has description about me and has links to the projects/applications I have worked till date.
Unsupervised_Learning_With_Seismic_Signals
🌎 This repository contains unsupervised analysis of seismic data using Kmeans and Deep Embedded Clustering to identify different types of signals recorded in Seismograph 🕸️
skswar's Repositories
skswar/Unsupervised_Learning_With_Seismic_Signals
🌎 This repository contains unsupervised analysis of seismic data using Kmeans and Deep Embedded Clustering to identify different types of signals recorded in Seismograph 🕸️
skswar/Explainable_ML_for_Production_Downtime_Shap
👨💻 This repository shows how machine learning and SHAP can be leveraged to understand the reasons of production downtime ⌛
skswar/Data_Engineering_Pipelines
🗄️ This repository is about how at No Financial Overhead, Python can be used to build ETL Data Pipelines an Automate them with Task Scheduler. 👷♂️
skswar/Forecasting_ScrapTire_Receipt_ATD
🛞 This repository contains the code written to forecast scrap tire receipt rate at ATD distribution centers based on historical data ⏱📈
skswar/Manufacturing_Defect_Analysis_and_Visualization
🏭 This repository serves as a demonstration of how to analyze product defects and identify critical points within the product. By doing so, we can effectively troubleshoot and address potential issues to improve product quality and performance.
skswar/NYCitibike_Demand_Prediction_ML_Pipeline
🚴_ An End to End Machine Learning Pipeline to Predict Hourly Demand of NY Citi Bikes
skswar/Realtime_Machine_Downtime_Tracking_PowerBI
📊 Power BI report to track real time operating status with focus on its downtime with integrated ERP systems Data
skswar/Referral-Network-URMC
🔍 A Flask application that helps identify the bottlenecks in a specialty referral network.
skswar/Scratch_MachineLearning_Models
🤖 This repository contains the codes written to build the primitive machine learning models from scratch 👨🏽💻
skswar/skswar.github.io
💻 Personal website that has description about me and has links to the projects/applications I have worked till date.