Hello, world!

Arunima Mookherjee

Tempe, AZ ยท arunimamookherjee@gmail.com

Graduate Student from Arizona State University, working as Application Developer 2 at Starbucks Technology, Full-stack Developer and

I am a programmer and an artist. Artist because I believe programming is a logic-based creativity. I'm a computer science graduate student at Arizona State University with passion for problem solving. This summer, I interned at Starbucks in the Business Intelligence and Data Services team and currently, pursuing a CO-OP with them.



I have 11 months of experience as a software developer, specializing in developing Business Intelligence Platform for Renacle Cycles Private Limited. I am currently seeking full time opportunities starting from May 2021. I love being a part of something that delivers a change. The impact of the outcome of a project serves as a huge motivator to me. If you have an opportunity in mind or think I would be a good fit for something, I'd love to talk!

Skills

LANGUAGES
  • Python
  • Java
  • C++
  • C
  • jquery
  • javascript
  • HTML5
  • CSS3
  • Java
  • Bash
TOOLS
  • Jenkins
  • Collibra
  • Apache Hadoop
  • Apache Spark
  • Docker
  • Google Cloud
  • MySql
  • Apache Superset
  • Clickhouse
  • NodeJs
  • ExpressJs
  • MongoDB
  • Git
  • Anaconda
  • Jupyter Notebook
  • KeplerGL
  • DeckGL

Projects

Business Intelligence Dashboard for the analysis of realtime data

  • Wrote Python scripts to asses access logs and analyse the traffic coming from different types of devices, browsers and operating systems.
  • Worked on visual analytics and data storytelling using web.gl, deck.gl and kepler.gl.
  • Assisting in developing algorithms for predictive modeling, analyze and process data sets using Clickhouse, MySQL, and Python.
  • Reporting and visualising actionable, statistical, and analytical insights in Apache Superset to understand and extrapolate important data for business operations.

Wait! There's more..

See all Creations for more projects....

Publications

Sentilyser: Embedding Voice Markers in Homeopathy Treatments

Sentilyser is a clinical decision support system. Using the recorded voice of a person, the mood is analyzed using support vector regression. Arousal and valence of the audio file is calculated, and thus, the corresponding mood is predicted. The objective of this chapter is to propose the use of Sentilyser as a part of a patient's diagnosis, which will not only help the physician reach a better conclusion but will also help them in cases where the patients themselves are unaware about their own psychological state.

Experience

Business Intellignence and Data Servives Intern

Starbucks Technology Center

Worked with the EIM(Enterprise Information Management) Engineering team. Worked on supporting Data Governance using Collibra and Data Quality using Attacama within Starbucks.

May 2020 - Present

Computing Aide

Math and Statistics Department, Arizona State University

Linux and MAC administration, shell programming, Apache, and MySQL, setting up and configuring Apache, creating web applications

August 2019 - May 2020

Data Scientist

Renacle Cycling Private Limited

Built the Business Intelligence dashboard and data storytelling

December 2018 - June 2019

Intern

Magnum Technologies

Fullstack development on MEAN and Django

January 2018 - June, 2018

Education

Arizona State University, Tempe, USA

Masters in Computer Science
2019 - 2022

Symbiosis Institute of Technology, Pune, IN

Bachelor of Technology
Information Technology
2014 - 2018