Samanth Martis
Data ScientistDeclare Variables, Not War!
IIT Bombay
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Declare Variables, Not War!
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT Bombay
Data Scientist
June 13, 2026 – Present
Vorticity-Stream-Function-Fluid-Sim
April 17, 2026 – Present
Simulating a tilted cavity with a driven lid using vorticity stream function formulation
View ProjectAffine-Laplacian-Heat-Solver
March 26, 2026 – Present
Coordinate transformation, jacobi solver, and modular code
View ProjectLBM_Scribbler
February 12, 2025 – March 8, 2025
Lattice boltzman method for simulating fluids - Team competition
View ProjectManastu_Hackathon_01
October 9, 2024 – October 18, 2024
Simulation for space debris removal
View ProjectParticle_Life
June 27, 2024 – June 30, 2024
Simulating particle life using unsymmetric forces
View ProjectQuadTrees
June 21, 2024 – June 27, 2024
Quadtrees, quite useful for implementing N body simulation and/or collision detection
View ProjectSeasons_of_Code__Simulations_in_Physics
May 27, 2024 – September 6, 2024
IITB SoC! Gonna make plenty of cool stuff
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on scientific simulations and visualizations. While demonstrating initiative and a passion for technical challenges, there is limited evidence of collaborative team projects or experience in a typical corporate data science environment. The single listed experience as 'Data Scientist' at IIT Bombay is current with no start date, making it difficult to assess its relevance or depth. The project diversity leans heavily towards physics simulations rather than broader data science applications like machine learning, statistical modeling, or big data processing, which might impact cultural fit within a standard data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.