MONISHA MONALI G R
San Diego, CA
LinkedIn: https://www.linkedin.com/in/monaligr
Email: ad3hur@r.postjobfree.com Phone: 619-***-**** CAREER OBJECTIVE
A Master's student with a strong foundation in 'Data Science', seeking a position as a Data Engineer/Data Scientist. Passionate about leveraging my advanced knowledge in data modeling, and statistical analysis techniques to derive actionable insights from vast data sets. Eager to contribute to a dynamic team environment, optimizing data infrastructure, and driving data-driven decision-making processes. EDUCATION
Pursuing Master of Computational Science with Emphasis on Data Science San Diego State University (GPA: 3.0)
• Computational methods for scientists: C, Fortran, and Perl, Solution of Partial Differential Equations
• Seminar - Problems in Computational Science: First and second-order PDEs, Different types of PDEs (elliptic, hyperbolic, parabolic), Standard Finite Difference, Mimetic Finite Difference, Fluid Dynamics Problem Resolution.
• Parallel/Scientific computing: Efficient Sequential Concepts (Parallel computing), Message Passing Interface(MPI), Shared Memory Programming Techniques(Pthreads and OpenMP), and UPC++.
• Computational Modelling course: MATLAB, Classification of systems (Relaxation and growth), Non- Dimensionalization(Fixed points and stability), Buckingham pi theory, Numerical solution of IVP(Explicit and implicit methods), advanced numerical methods(Runge Kutta), Crank-Nicholson Applied to heat equation, Elliptic PDE(SOR applied, conjugate gradient).
• Computational Database Fundamentals: Database Design, SQL Proficiency, Data storage techniques, Transaction management, Database architectures (NoSQL databases), and Database management skills for data science.
• Applied Mathematics for Computational Scientists: Linear algebra, differential equations, stability theory, and analytical methods for partial differential equations, all within the context of computational science.
Bachelor of Computer Science
GITAM Deemed University Under UGC – India (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: Proficient in C, C++, Python, Fortran, R language, Databricks
• Applications: Developed data algorithms in C++, automation and visualization in Python, simulations in Fortran, and web apps in Java.
• Systems & Tools: Experienced in Linux, OpenMP, MPI, CUDA, and database management
(SQL, MySQL, NoSQL).
• Parallel & GPU Programming: Proficient with shared memory (OpenMP, Pthreads) and GPU (CUDA) development.
• Distributed Computing: Skilled in MPI for parallel computing environments. PROJECTS
• Shooting Methods: Implemented shooting methods in a range of examples such as, the pendulum, heat distribution in a rod, and rocket trajectory problems, using applied three different numerical methods, such as the second and fourth-order Runge-Kutta, Euler, bisection method, secant method, and Newton's method, selecting the most suitable method for each specific problem.
• Linear Least Squares: A Fortran program implementation of linear least squares problem-solving, utilizing the Conjugate Gradient method, particularly effective for large, sparse systems.
• 1D-Wave Equation: Worked on stimulating the dynamic behaviour of a string with constant mass density ρ under tension T, focusing on its vertical deflection due to different initial displacements. Utilizing the classical wave equation, we numerically solve for the string’s motion using a cantered finite difference method and analyze the results for two distinct initial conditions.
• Matrix Multiplication in 1D and 2D: Compared matrix multiplication and storage methods, testing eight different methodologies. Analyzed speed and efficiency using MPI and OpenMP to determine optimal techniques.
PROFESSIONAL EXPERIENCE: 01/2022 to 07/2022 – INTERNSHIP Cognizant – Bangalore, INDIA
• 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