Data Science Analytics

MONISHA MONALI G R

San Diego, CA

LinkedIn: https://www.linkedin.com/in/monaligr

Email: ***************@*****.*** Phone: 619-***-**** EDUCATION

Pursuing Master of Computational Science with Emphasis on Data Science San Diego State University, San Diego, CA

Expected to graduate in December 2024(GPA: 3.0)

• C, Fortran, Perl, MATLAB, and SQL, parallel computing (MPI, Pthreads, OpenMP, UPC++), Skilled in database management, and NoSQL architectures, with a solid foundation in linear algebra, Mimetics, tailored for advanced computational science applications, CUDA(GPU development), Linux, Research in dt-core system Enhancement(duckiebot). Undergrad - Bachelor of Computer Science

GITAM Deemed University Under UGC – India

Graduated in 2022 (GPA: 3.0)

• Certified courses in Database Management systems and Advanced Databases, Data Mining, Cloud Computing, Big Data Analytics, Machine Learning, and Artificial Intelligence. SKILLS

Languages:

o C language o C++

o Python o Fortran

o Java o R language

o DataBricks o PySpark

o Python o Data Visualization

o Big Data Analytics o Apache Hadoop

o Apache Spark o K-means

Systems & Tools:

o Linux

o Shared Memory (OpenMP, Pthreads)

o Distributed Computing (MPI)

o CUDA (GPU development)

o Database Management (SQL, MySQL, NoSQL)

o Nvidia Profiling Tools

PROJECTS

• dt-core System Enhancement: Upgraded the dt-core system for Duckiebot within a ROS environment by optimizing code for CUDA implementation, enhancing performance in image processing and AI inference through GPU parallel processing.

• Shooting Methods Implementation: Applied numerical methods (Runge-Kutta, Euler, Bisection, Secant, and Newton's) to solve examples like pendulum dynamics, heat distribution, and rocket trajectories.

• Linear Least Squares: Developed a Fortran program for solving linear least squares problems using the Conjugate Gradient method, suitable for large, sparse systems.

• 1D-Wave Equation Simulation: Modeled the dynamic behavior of a string under tension using the classical wave equation and solved it numerically with finite difference methods for different initial conditions.

• Matrix Multiplication Optimization: Conducted a comparative analysis of eight matrix multiplication and storage methods using MPI and OpenMP to determine the most efficient techniques. PROFESSIONAL EXPERIENCE

Programmer Analyst Trainee (Internship)

Cognizant – Bangalore, INDIA (01/2022 to 07/2022)

• Collaborated with a team of developers to create a full-stack web application using Node.js, React, and MongoDB

• Participated in daily stand-up meetings, code reviews, and sprint retrospectives to ensure the project was on track

• Developed reusable React components and implemented the responsive design using CSS frameworks such as Bootstrap

• Utilized Agile methodology to deliver high-quality code on time and meet project milestones

• Learned the fundamentals of full-stack web development and gained hands-on experience with modern web technologies

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