Hi, my name is Nalin.
My interests include project management, AI, visualization, philosophy and food. And of course, anything to do with data. Some of my side projects are listed below. Presently, I'm a Data Analyst at Tesla @ IT App Eng.
My coursework in Nuclear Engineering, more specifically some of the radiation detection labs involved extensive data analysis which is really what led to my strong interest in the field. I completed a minor in the same and have been fortunate enough to gain some excellent diverse experience analyzing all sorts of data. Fresh perspective, which I attribute to my major, is my biggest strength in the workplace and I hope to keep learning all sorts of new stuff.
B.S. Nuclear Engineering · Informatics minor
My interests include project management, AI, visualization, philosophy and food. And of course, anything to do with data. Some of my side projects are listed below. Presently, I'm a Data Analyst at Tesla @ IT App Eng.
My coursework in Nuclear Engineering, more specifically some of the radiation detection labs involved extensive data analysis which is really what led to my strong interest in the field. I completed a minor in the same and have been fortunate enough to gain some excellent diverse experience analyzing all sorts of data. Fresh perspective, which I attribute to my major, is my biggest strength in the workplace and I hope to keep learning all sorts of new stuff.
B.S. Nuclear Engineering · Informatics minor
Data
Programming
Engineering
experience
Stout Risius Ross
Data Analyst
• Wrangled 3 datasets for Metric Scoring, with 6M loan records, applied geographic filtering and feature mapping
• Helped create workflow used by analysts consisting of RPA Code, a Flask app and MongoBD log storage to automate business logic
• Analyzed 2 decades of revenue data for time series forecasting
• Helped create workflow used by analysts consisting of RPA Code, a Flask app and MongoBD log storage to automate business logic
• Analyzed 2 decades of revenue data for time series forecasting
Stout Risius Ross
Data Analyst Intern
• Analyzed 17GB of Electronic Health Records in a PowerBI Dashboard, after extensive cleaning in Py
• Collaborated in data validation of customer attrition for an e-commerce company
• Involved in integrating RPA into the company using an Azure Environment and testing API calls in Postman to validate
• Collaborated in data validation of customer attrition for an e-commerce company
• Involved in integrating RPA into the company using an Azure Environment and testing API calls in Postman to validate
Gies College of Business, UIUC
Research Assistant (prof. Jialan wang)
• Utilized dask for parallel computing by converting SQL queries to index millions of transaction data points in pandas for project “Financial Impact of Covid-19”
• Extracted data for Chapter 11, 13, 12 and 7 bankruptcy using Selenium Webdriver API and Beautiful Soup to scrape the Bloomberg Law website
• Modelled more accurate analytics of compliance with state payday loan regulations by carrying out detailed news and academic searches. Details of my involvement.
• Extracted data for Chapter 11, 13, 12 and 7 bankruptcy using Selenium Webdriver API and Beautiful Soup to scrape the Bloomberg Law website
• Modelled more accurate analytics of compliance with state payday loan regulations by carrying out detailed news and academic searches. Details of my involvement.
SoTeRiA Lab
Research Analyst
• Performed data analysis and exploratory research on Probabilistic Risk Assessment (PRA) in the Socio-Technical Risk Analysis Research Laboratory in the Department of Nuclear, Plasma, and Radiological Engineering.
• Integrated Bayesian Belief Networks BayesPy and System Dynamics (PySD, Vensim) techniques for Level-3 PRA using Python.
• Contributed to the “Big-Data Theoretic” project funded by the NSF and was acknowledged in two journal articles (more info in the projects section).
• Carried out comprehensive literature reviews on data mining for risk analysis and delivered presentations to iSchool collaborators.
• Integrated Bayesian Belief Networks BayesPy and System Dynamics (PySD, Vensim) techniques for Level-3 PRA using Python.
• Contributed to the “Big-Data Theoretic” project funded by the NSF and was acknowledged in two journal articles (more info in the projects section).
• Carried out comprehensive literature reviews on data mining for risk analysis and delivered presentations to iSchool collaborators.
Department of Computer Science, UIUC
Course Assistant
• Conducted office hours, answered student questions on piazza and helped in conducting labs for Introduction to Engineering Programming.
• Mentored sections of 30+ students throughout the course on Python, data structures, plotting, matlab and best programming practices.
• Assisted in course operations and implementation of changes in coursework due to the education system shifting online.
• Mentored sections of 30+ students throughout the course on Python, data structures, plotting, matlab and best programming practices.
• Assisted in course operations and implementation of changes in coursework due to the education system shifting online.
projects
*
Face Recognition using PCA
and some other pythonic applications of linear algebra
NSF Big-Data Theoretic
Extracting and cleaning Event Reports (OCR text data) from Nuclear Power Plants in the U.S.
Modelling Radioactive Decay
Simulating a three step radioactive decay chain with the finite difference approach using numpy
Financial Impact of COVID-19
Financial Impact of COVID-19
Plotting Potter
Automatically identifying the names of all characters in Harry potter … and visualizing character mentions