Research Assistant Rutgers

Mannat Singh

609-***-**** ***************@*****.*** LinkedIn: www.linkedin.com/in/mannat-singh-0b2b16172 PROFILE

• Passionate about software

development and data analysis

• Self-motivated and committed

• Focus on creativity as a programmer

• Excellent leadership and

communication skills

Objective

A full-time software engineering or data science/analytics opportunity that will allow me to utilize my creative problem- solving skills and attention to detail to contribute meaningfully to the field of computer science.

EDUCATION

University of Maryland, College Park

Major: Computer Science

(Data Science Specialization)

Minor: Statistics

GPA: 3.85

SKILLS

Programming/Scripting Languages:

Java • R • SQL • C • Python • OCaml •

JavaScript • SAS • MATLAB • Ruby

• LaTeX

Frameworks and Tools:

Microsoft SQL Server • PostgreSQL

• Jenkins • pgbadger • Datadog •

InfluxDB • Grafana • Minitab

• Microsoft Office

Experience

RESEARCH ASSISTANT July 2020 – February 2021

University of Maryland, College Park

• Cleaned and prepared caribou movement and mortality data using R and SQL that facilitated remodeling and visualization of previously inaccessible datasets

• Achieved 16% improvement in mean absolute error of prediction of caribou mortality rates by utilizing statistical survival modeling tools in R and Python SOFTWARE ENGINEER INTERN June 2019 - August 2019

Trimble MAPS, New Jersey

• Improved efficiency of PostgreSQL instances by 80% using pgbench and Python

• Designed a low maintenance and easily extensible monitoring system using Datadog to keep track of company’s server resource usage

• Utilized InfluxDB and Grafana to design a web GUI interface to monitor log and query statistics

JAVA AND R DEVELOPER December 2018 - April 2019

Cyberlearning Innovation and Research Center, Rutgers University

• Created, updated, and maintained dynamic questions for teaching faculty (Java)

• Extracted, analyzed, and interpreted students’ assessment statistics (R) Projects

TEMPORAL DIFFERENCE LEARNING WITH TETRIS May 2020

• Compared TD(0) learning algorithm and a Q-learning algorithm, using Python, to investigate the application of reinforcement learning to the game of Tetris RESTAURANT SIMULATION January 2020

• Developed a parallel and thread-safe simulation for a restaurant with multiple customers, cooks, and machines, using Java

MOVIE PROFIT PREDICTION May 2019

• Acquired data from Kaggle, tidied it, performed exploratory data analysis and hypothesis testing

• Used decision trees and 10-fold cross validation to make predictions about profits different genres of movies would make, using R COURSEWORK

Database Design

Machine Learning

Data Science (R, SQL)

Object-Oriented Programming (Java)

Organization of Programming Languages

(C/Ruby/OCaml)

Design and Analysis of Algorithms

Discrete Structures

Computer Systems Architecture

Applied Probability and Statistics

Statistical Computing with SAS

CERTIFICATE COURSES

Microsoft SQL Server 2019 Essential

Training

Learning Azure SQL Querying

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