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Hi there 👋

I'm a data scientist focusing on time-series analyses and forecasting in R. I've worked as a data science manager at an automotive engineering company, where I developed anomaly detection algorithms for engine health monitoring on multivariate IOT sensor data. I've been a 6S Black Belt, Product Validation Engineer, and FEA Analyst (computational stress, vibration and fatigue modeling).

Topics that I'm excite me -

  • anomaly detection
  • time series forecasting
  • reproducible work & production readiness
  • R package development
  • visualization
  • visual astronomy
  • mechatronics (arduino, rpi)

Find me on:

Main projects

Tools for time series analysis and forecasting, and datasets:

portfolio anomaly_db docker postgres

Talks

portfolio

Misc

rsangole

Rahul's Projects

413_timeseries icon 413_timeseries

Predict-413 - Time Series Analysis & Forecasting Class for MSPA, Spring 2018

454_finalproject icon 454_finalproject

This repository contains the codebase & report for the final project for Predict 454 - Advanced Modeling Techniques

491_doe icon 491_doe

Predict 491 - Design of Experiments & SPC Class

anomaly_db icon anomaly_db

Scripts to populate my local Postgres database with anomaly datasets

blog icon blog

My personal blog documenting some work in R, stats and ML

blogdown icon blogdown

Create Blogs and Websites with R Markdown

caret icon caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

ctv-anomalydetection icon ctv-anomalydetection

CRAN Task View: Anomaly Detection with R 🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛒🛍️🛒🛒

datameta icon datameta

An R package to create and append a data dictionary for an R dataset

docker icon docker

Docker Images for all my development

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