Latest Resume

1. Siddharth Pandurang Shenoy
sshen043@ucr.edu | 551-236-9374 | https://www.linkedin.com/in/siddharthshenoy96/ | Full-Time
EDUCATION
University of California, Riverside March 2021
Master of Science in Computer Science GPA: 3.96/4
Selected Coursework: Big-Data Management, Data Mining Techniques, Database Management Systems, Machine Learning,
Advanced Operating Systems, Advanced Computer Architecture, High Performance Computing, Information Retrieval and Web
Search, Spatial Computing
Birla Institute of Technology and Science, Pilani May 2019
Master of Science (Honors) in Mathematics GPA: 6.40/10
Bachelor of Engineering (Honors) in Electronics and Instrumentation
Selected Coursework: Statistical Inference and Applications, Mathematical Modelling, Hardware Software Co-Design, Data
Communication and Networks, Graphs and Networks, Optimization, Probability and Statistics
SKILLS
Programming Languages – JAVA, C, C++, Python
Web Development – HTML, Java-script, MyBatis, Spring
Application Software – MySQL, Hadoop, Spark, Apache Pig, MATLAB, Mathematica, Minitab, Matlink
PROFESSIONAL EXPERIENCE
Reflexis Systems India Pvt. Ltd. Pune, India
Software Development Intern July-December 2018
 Built a full stack working HR management system with admin controls providing user level functionality for applying for
holidays, raising concerns, etc while allowing management of leaves applied, making of new users, etc on HR side using Java,
JavaScript, html, CSS, MySQL, MyBatis, spring
 Implemented Delta logic for company core product used to optimize quality of data generated by 90% and reduce time
taken to generate output by 15%
 Resolved numerous bugs in both frontend and backend of core product related to java, JavaScript, MySQL, html, and CSS
ACADEMIC PROJECTS
University of California, Riverside Riverside, CA
Prediction and Analysis of wildfires using satellite data Fall 2019, Winter 2020
 Collected MODIS data of wildfires, vegetation and temperature in USA for 2018
 Analysed correlation between three factors after merging data into a single data set using java, hadoop and spark
 Calculated Pearson's correlation coefficient between wildfire-vegetation and wildfire-temperature for different states in USA
using Numpy and Matplotlib
 Further improved model by addition of an extra factor of humidity and increased resolution and accuracy of results by further
analysing counties of state of California
 Built models based on linear regression and linear interpolation in python to improve quality of satellite data helping to
eradicate outliers and fill missing data and visualized post analysis output using ArcGIS
Credit card default prediction system Fall 2019
 Implemented 4 different classification algorithms to predict possibility of default for credit card users using python. 4
algorithms used were Logistic Regression, K-Nearest Neighbours, Naive Bayes and Support Vector Machine. Compared
algorithms’ accuracy with Scikit-learn's accuracy and obtained close to perfect results
Web search engine for football news Winter 2020
 Scrapped football news article using scrappy from Goal.com and applied inverted index and search module using Apache
Lucene and hadoop map-reduce and compared performances of both approaches
Tomasulo Algorithm for dynamic scheduling of instructions Winter 2020
 Implemented tomasulo algorithm with out of order execution for dynamic scheduling of instructions in C++
Rainfall stability for states in USA Spring 2020
 Calculated fluctuation of rainfall across various states in the USA using data collected across 4 years and multiple weather
stations and merged datasets to get highest and lowest rainfall across average of 4 years for each and every month and then
using it to get rainfall stability for each and every state. Same was done using java, spark and mysql
PROFESSIONAL AFFILIATIONS AND INVOLVEMENT
Captain - Chess Team, BITS Goa July 2015 - May 2018
Event Manager - Chess Event, SPREE (BITS Goa Sports Festival) August 2016 - May 2019
Volunteer - Nirmaan Organization (NGO) August 2014 - May 2017