Jyoti Rana
*********@*****.*** 213-***-****
EDUCATION:
Iowa State University, Ames, IA
Bachelor of Science
Information Systems-Mathematics
SKILLS:
● Python, Java, SQL, MATLAB, SAS, Enterprise Miner
● Microsoft Office Suite
● Basic Machine Learning, Experience with ML libraries
● Coding ability to produce clean, efficient code as well as testing, debugging and understanding code bases EXPERIENCE:
Business Analyst, Global Atlantic Financial Group, August 2020 - November 2021
● Used analytical skills to complete policy calculations and illustrations
● Communicated product information and calculations to internal and external customers
● Performed data enhancement, validation and verification with customers
● Collaborate daily with business analyst, developers and clients to create customer solutions
● Developed code, built and use calculation tools in MS Excel including VBA Machine Learning Intern, Broad Institute of MIT and Harvard, October 2018 - May 2019, February 2020 - August 2020
● Used Unsupervised Machine learning techniques to extract activity of single neurons from neuronal population recordings data collected through electrophysiology
● Implemented Principal Component analysis, Spatio-Temporal Independent Component Analysis, Image Segmentation, Deconvolution Event Detection and Non-negative Matrix Factorization techniques to identify, separate and detect signals of these individual Neurons from multiple neuron data Research, Summer 2018:
●Developed an application (in Python) to use a tree-based learning algorithm to model the deadline hit and miss patterns of periodic real-time tasks. The algorithm used formal verification techniques to predict future deadline hits and misses
● Wrote application to create custom surveys in Python
● Implemented algorithms to accelerate model training process
● Developed and tested code
Teaching Assistant for Department of Computer Science, Fall 2017- Spring 2018: Coms 207, MIS 307 (Java, Python):
● Taught recitation sections
● Conducted laboratory sessions; designed quizzes and tests
● Experience with managing large groups
Student Consultant, Spring 2017 - Fall 2017:
● Resolved issues regarding networking (wired, wireless, and dialup), and email problems
● Assisted student body of 36,000, faculty, and staff with technology questions
● Improved ticket documentation process to increase organization and efficiency Student Tutor, Fall 2016 - Spring 2017:
● Tutored; supervised 15-20 Students in Java, Python course
● Assisted with assignments, homeworks
PROJECTS:
● Created a book sharing application for college students with a graphical interface in Python
● Modelled a classifier to classify characters using Bayesian Classifier and Maximum Likelihood Estimation method. Average accuracy of the classifier was 91%
● Performed predictive analyses and created data visualizations using rapidminer, tableau to predict chances of graduate admission based on various factors CLUBS:
● Women in Science and Engineering (WISE)
● Student Fundraiser at Iowa state university Foundation(Spring-2016)