Discover @nareshpendyala Open Source projects

Naresh Kumar Pendyala (@nareshpendyala)

nareshpendyala

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Global Rank 490,450 (Top 17 %)
Followers 6
Following 52
Registered about 7 years ago
Most used languages

Jupyter Notebook
66.7 %

Python
33.3 %
Location 🇩🇪 Germany
Country Ranking

Jupyter Notebook
1,644

Automated-ETL

Constructed an ETL pipeline to automate the batch processing using the following tools and technologies

Human-Resources

Human Resources Department - Predict which employees are likely to quit their jobs. Models used Logistic Regression, Random Forest, and Artificial Neural Networks

Jupyter Notebook

Bi-DirectionalLSTM

Analytics 4 exam

Operations-Department

Operations Department - Built a model to classify type of disease.

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Supply-Chain-Management-System

Masters project on Information Systems

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Sales-Department

Sales Department - Predict future sales.

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hello-world

Hello World Flask App

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Marketing-Department

Marketing Department - Analyze users behaviour. Models used KMeans Clustering, and Auto Encoders

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Maintenace-Department

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Analytics-Exam

Public-Relation-Department

Public Relation Department

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Automated-ETL-Pipeline

An ETL Batch Processing Pipeline

GeneralNewsExtractor

Bi-directionLSTM

Bi-direction LSTM

Tableau-Data-Visualization

Created some beautiful dashboards using Tableau to suport the decisions we make to solve a problem.

Energy_Demand_Forecasting

Time Series Regression Prediction on Energy Demand of an Industrial Facility

Jupyter Notebook