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Rajashekar Reddy Mandadi photo

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Name: Rajashekar Reddy Mandadi

Type: User

Company: Cyient Insights

Bio: MultiCloud Architect | Technical Account Manager | Pre-Sales Consultant | with 15 years of experience, leveraging proven product, program management, pre-sales.

Location: Hyderabad

Rajashekar Reddy Mandadi's Projects

courses icon courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

ev-charger-prediction icon ev-charger-prediction

Time-series modeling project that predicts the future number of electric vehicles in Washington state counties to identify locations with the most potential for financial success for new electric vehicle chargers.

ev_chargepoint_prediction icon ev_chargepoint_prediction

This project entailed building a machine learning classification model for predicting the presence of EV charging stations in a location based on socio-economic, transportation and geo-spatial characteristics acquired from public and government data. The model was then used to further explored areas of potential for new EV charge point installations using the unsupervised KMeans algorithms to cluster areas with favorable characteristics from the classification model. Raw data was preprocessed in order to ultimately train and test a Logistic Regression classifier and statistical testing of feature coefficients were done to confirm the factors that increased or decreased the likelihood of EV charge point installation.

flipkart icon flipkart

flipkart-clone using react js express js mongo db razorpay complete e-commerce website using MERN stack client server MVC architecture redux redux-thunk ecomerce project live example

healthcare-data-analysis-on-pima-indian-diabetes-database icon healthcare-data-analysis-on-pima-indian-diabetes-database

Knowledge Discovery in Database. * In this project we focused our analysis on applying data analysis techniques, create visualizations and interpret the models using histograms, scatter plots and many other visual plots etc. to uncover the reason for high diabetic outcome among the PIMA Indian women. * Predict whether the patient is diagnosed with diabetes based on diagnostic measurements available in the dataset. * We obtained this dataset from Kaggle and built some supervised explanatory models (classification tree and logistic regression) and predictive models (KNN); also tried Unsupervised techniques such as K-means Clustering and Kohonen's Self-Organizing Map (SOM).

irish_ev_charger_status icon irish_ev_charger_status

I am working with a dataset of statuses at EV charging stations in Ireland and building a model to predict the status of a charger at a particular time.

lambda-s3-to-glacier icon lambda-s3-to-glacier

AWS Lambda function to transition duplicity files from STANDARD to GLACIER storage class in a AWS S3 bucket

landy-react-template icon landy-react-template

Landy is an open-source React landing page template designed for developers and startups, who want to create a quick and professional landing page for their business or project.

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