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Mrinal Rajak | Gravity Talent Portal

Mrinal Rajak

Mrinal Rajak

Software Engineer

https://talent.gravityer.com/mrinal-rajak

Interested to build space technology.🛰️ BTech Student (2020-24). Branch: ECE Institute: university college of science and technology, University of Calcutta

Raja bazar science college

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Kolkata, West Bengal, IndiaMember since June 19, 2026

https://talent.gravityer.com/mrinal-rajak

Top Skills

Python

Skills

Python

Experience

Raja bazar science college

Software Engineer

June 19, 2026 – Present

Projects

some_coin_tossing_experiment

October 24, 2022 – October 24, 2022

The probabilistic way of getting experimented results. _/\_

2D_animation

October 6, 2022 – October 6, 2022

An astronaut is lost in deep space.

Turtle_projects

October 6, 2022 – October 6, 2022

Some turtle project might help to building some temporary gaming systems.

Random_walk_2D

October 6, 2022 – October 6, 2022

mean , end-to end distance vs time.

Random_Walk_1D

October 6, 2022 – October 6, 2022

To compute configuration average value.

poisson_distribution

October 6, 2022 – October 6, 2022

In probability theory and statistics, the Poisson distribution is a discrete probability distribution that expresses the probability of a given number of events occurring in a fixed interval of time or space if these events occur with a known constant mean rate and independently of the time since the last event.

Non_linear_curve_fit

October 5, 2022 – October 5, 2022

One curve fitting group is linear and the other group is known as non-linear curve fitting.

Yukawa_potential

September 24, 2022 – September 24, 2022

The Yukawa potential.

Morse_potential_shooting

September 24, 2022 – September 24, 2022

The Morse_potential_shooting of Hydrogen Molecule.

Diffusion_equation-Implicit_crank-Nicolson-

August 9, 2022 – August 9, 2022

The Diffusion equation using crank Nicolson method.

Key Strengths

Demonstrated interest in scientific computing and numerical methods through personal projects.
Familiarity with Python for various computational tasks.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic/scientific computing focused, indicating a potential fit for roles requiring analytical and problem-solving skills in a research or data-intensive environment. The breadth of skills is limited to Python and numerical methods. The single listed work experience is current but lacks details, making it difficult to assess alignment with a typical software engineering role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.