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Hello There👋

I'm Arunkumar C H

Software Developer and Senior Finance Analyst

I'm Data Scientist enthusiast and looking forward to contribute to the data scientist community. I am well versed with

  1. Applied Machine Learning
  2. Structured Query Language
  3. Natural Language Processing (NLP)
  4. Apache Spark
  5. AWS
  6. Model Deployment using Streamlit
  7. Model Deployment using Colab
  8. Structured Thinking and Communication
  9. Tableau 2.0
  10. PowerBI(with DAX)

I’m currently working on,

  1. Retail Demand Prediction
  2. Time Series Forecasting
  3. Recommender Systems

I’m currently learning,

  1. Applied Computer Vision
  2. MongoDB
  3. Apache Hive
  4. Apache Hadoop

ArunKumar's Projects

abaptimemachine icon abaptimemachine

ABAP Time Machine provides a much needed way to look at past versions of code in a consistent way. It also provides a sort of git-blame for ABAP (shows the request and author that last modified each line of code).

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

best-of-ml-python icon best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

cloud-cap-samples icon cloud-cap-samples

This project contains sample applications for SAP Cloud Application Programming Model.

dask icon dask

Parallel computing with task scheduling

data-science-wiki icon data-science-wiki

A wiki of DataScience, Statistics, Maths, R,Python, AI, Machine Learning, Automation, Devops Tools, Bash, Linux Tutorials, Scripts and Datasets

fiori-elements-opensap icon fiori-elements-opensap

This repository offers optional hands-on exercises for the free openSAP course "Developing and Extending SAP Fiori Elements Apps."

hana-cloud-ml-challenges icon hana-cloud-ml-challenges

In this repository we will tackle different challenges by bringing the open source world and SAP world together. In a nutshell, there will be no movement of training data from SAP HANA Cloud to our Python environment.

hana-ml-samples icon hana-ml-samples

This project provides code examples for SAP HANA Predictive and Machine Learning scenarios and is educational content. It covers simple Predictive Analysis Library SQL examples as well as complete SAP HANA design-time “ML scenario”-application content or HANA-ML Python Notebook examples.

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