👨🏽💼 Experience
Work experience
During the last semester of my undergraduate, I worked for six months in Oracle Financial Services as an intern. Following this, I worked for a year and a half in Mu Sigma as a (Senior) Business Analyst. Both positions were based out of Bangalore, India.
Mu Sigma
I worked in Mu Sigma, a business analytics firm as a researcher in the field of big data. My primary job as a data scientist was to develop and code parallelized algorithms such that they may be run on a distributed architecture, particularly Hadoop.
Responsibilities
Implementing the following machine learning algorithms for big data using R on Hadoop
generalized linear model
exploratory data analysis
k-means clustering
Training
Supported Allstate with their big data project.
Was an organizational trainer for R, Hadoop, and related technologies.
Achievements
Was promoted to Senior Business Analyst (by Mu Sigma) within a year of joining.
Received two Spot Awards by Mu Sigma
Nov 2012: For the Generalized Linear Modeling package.
May 2012: For individual contribution to Allstate’s big data project.
Details
📆 2011-12-15 to 2013-06-25
Oracle Financial Services Software
I was a business intern for six months. My job was to get hands-on experience with software development for the banking industry. I developed certain modules for an in-house “Banking Development Toolkit” called PRISM.
Details
🏢 Oracle Financial Services Software Limited
📆 2011-07-04 to 2011-12-14
Projects
Details
🏫 Institute of Mathematics and its Applications
📆 2017-06-20 to 2017-07-28
Courses
Python, R, Statistics, Machine Learning, Stochastic Modeling, Optimization
Mini-project
Using machine learning to develop a prototype for workout classification using a smartphone kept in the user’s pocket.
Industry project
“Machine Tool and Robot Calibration through Kinematic Analysis: A Least Squares Approach” under Thomas Grandine of The Boeing Company.
🎓 Louisiana State University, Department of Mathematics
📌 Baton Rouge, LA, USA
Guided undergraduate mathematics students enrolled in the Capstone Course. This course is aimed at giving hands-on experience to students in solving real-world problems.
Projects
📆 2019 Spring: Lead a team of 8 undergraduate mathematics majors to understand the basic principles of motor control in healthy individuals using recurrence quantification analysis. This project was guided by Prof. Nikita A. Kuznetsov.
📆 2018 Summer: Lead a team of around 8 undergraduate computer science students to build a dashboard for LSU Athletetics. The dashboard featured easy data visualization and automated report generation.
📆 2018 Spring: Worked with undergraduates and graduate students from the mathematics, kinesiology, and electrical engineering departments in a project to estimating health metrics using anthropometric values which were themselved computed using images generated using various 3D scanners.
Skills
Mathematics
Probability theory
Stochastic analysis
Differential equations
Large deviation principles
Infinite-dimensional analysis
Statistics, data analysis, and machine learning
Mathematical modeling
Mathematical finance
Programming
Julia (currently solving Project Euler problems)
Python (implemented my master's thesis)
R (In Mu Sigma, I worked on developing packages in R for 1.5 years)
Web development with HTML, CSS and JavaScript (elementary knowledge, worked on this while interning at Oracle Financial Services Software)
Computing
Database querying using SQL
Scientific computing using MATLAB
Optimization using AMPL
Algorithms and data structures
Machine learning and deep learning