Md. Manir Uddin

•Building efficient, reusable well-designed, and high-quality front-end systems using React.js •Translating designs and wireframes into high-quality code •Designing highly responsive web-based user interfaces •Building reusable components and front-end libraries for future •Debugging & optimizing code to enable maximum performance across devices and browsers •Providing code documentation and other inputs to technical documents.

• Adaptation of the interface for modern Internet applications using the latest interface technologies • Building reusable, testable modules, services, and components • Ensuring a clear dependency chain, in terms of both application logic as well as file relationships • Ensuring high performance on mobile and desktop • Cooperating with the back-end developer in the process of building the APIs • Communicating with external web services

• Creating website layout/user interface by using standard HTML/CSS practices • Structure web pages using HTML5 • Make beautiful web pages using CSS3 • Mobile-first responsive design • Create layouts with Flex and Grid layout systems • Optimize images for performance • Build forms with data validation • Modern JavaScript features • Build reusable components • Implement routing with React Router • Implement authentication and authorization • All about Function Components and Hooks

Responsibilities: - Analyzing raw data, drawing conclusions & developing recommendations. - Developing and implementing the NumPy, Pandas Data Frames, Matplotlib, and Seaborn for initiate more efficient data collection to solve more complex tasks. - Carrying out specified data processing and statistical techniques. - Interpreting and delivering the results of the analysis through visualization techniques and explains solutions for business problems.

Responsibilities: • Partition the physical domain into subdomains and assign each subdomain to a process. Each process will communicate with it neighboring domain using message passing. • The finite difference method will be used for space discretization. • Pick a problem specific virtual topology → process mesh • Synchronize the output of the numerical solution → global approach • Implementation using Message Passing Interface (MPI) with C.

Responsibilities: • Collecting and analyzing data and identifying areas and methods for improvement. • Analyst all method Consistency, Stability, Convergence, and Accuracy. • Draw correct inferences, in keeping with the objectives of the analysis. • Numerical test cases, using both artificial data and real market data and show the superiority of scheme compared to other numerical methods.

-Computer Simulation - Data analysis -Descriptive and Inferential Statistics - Computational Finance -Image Processing and Data Visualization -Modern Programming -Numerical Analysis and Simulation - Numerical Linear Algebra -Programming Languages : Python, Matlab, C, C++

- Finite Element Method - Population Dynamics - Applied Approximation Methods - Fluid Mechanics - Lattice Theory and Boolean Algebra etc. - Programming Languages: Matlab, C

numerical algorithms, computational finance, probability, data computing, stochastic processes, game theory, machine learning, sampling statistics, design and analysis of experiments, interest rate modeling simulation, linear algebra, and calculus etc. - Programming Languages: Matlab, C