PhD Candidate working in Computational Material Science!!!
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Indian Institute of Science
Data Scientist
June 18, 2026 – Present
DynamicPhaseFieldFracture
April 29, 2024 – April 30, 2024
This repo consists of Python code correspoonding to paper "Failure and toughness of bio-inspired composites: Insights from phase field modelling"
View ProjectDiffuseDeepXDE
August 24, 2023 – August 24, 2023
Script to run the Inverse Problem to Train InterDiffusion Coefficient in Binary Couple
View ProjectDendritic_Solidification
May 7, 2022 – May 7, 2022
A vectorized FDM code for Dendritic Solidification as discussed in "Programming Phase Field Models" by Bulent S Biner
View Project1DPeridynamics
September 17, 2021 – September 17, 2021
Vectorized Implementation of Benchmark Problem in 1D using Bond-Based Peridynamics
View ProjectAdditiveSimulation
May 7, 2021 – May 31, 2021
Additive Manufacturing Thermal Code Reproduction from ASPC Report
View ProjectDissertation-Microstructure
July 17, 2020 – July 17, 2020
Master's Dissertation on microstructure modelling in additive manufacturing process....
View ProjectRecrystallization
February 7, 2020 – February 7, 2020
Simulation of grain growth in recrystallization process based on Cellular Automata as discussed in the book on "Computational Materials Science" by Richard LeSar"
View ProjectPhaseFieldModelling-NPTEL
February 7, 2020 – February 7, 2020
The codes in phase field modelling made during the course.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on scientific computing, materials science, and engineering simulations. While these demonstrate strong analytical and problem-solving skills, the direct relevance to a typical 'Data Scientist' role, which often involves statistical modeling, machine learning, big data technologies, and business intelligence, is limited. The current experience as 'Data Scientist' at Indian Institute of Science is listed with a future start date, providing no current performance data. This suggests a potential gap in direct experience with common data science tools and methodologies, impacting cultural fit for a standard data science team.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The candidate's project descriptions are clear but brief, limiting insight into communication style or collaboration experience.