Krishna Wadhwani

Data Scientist

https://talent.gravityer.com/krishna-wadhwani

Aerospace Engineer (from IIT Bombay) Interested in Deep Learning and Computer Vision.

Mumbai, Maharashtra, India

Key Strengths

Demonstrated academic exposure to Data Science related topics through course projects like 'Neural Network implementation' and 'Medical Image Computing'.
Proficiency in Python, a core language for Data Science, evidenced across multiple projects.
Experience with machine learning concepts (Deep Neural Networks, Supervised Learning) and tools (NumPy, Jupyter Notebook).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic assignments, indicating a strong foundation in theoretical concepts. However, the lack of professional experience or diverse project types (e.g., open-source contributions, team projects with clear roles) makes it difficult to fully assess cultural fit, initiative, or adaptability in a professional setting. The projects align with a Data Scientist role, but the breadth of application is limited to academic contexts.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.

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Assessing your cultural and operational fit

Projects

Active-Appearance-Models

June 3, 2020 – June 28, 2020

Course Project for the course CS 736

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AE755-CourseProject

March 5, 2020 – June 22, 2022

Neural Network implementation (in NumPy) for Devanagari character prediction and taxi time prediction

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CS736-assignments

January 17, 2020 – June 22, 2022

Assignments for the Course CS 736: Medical Image Computing. IIT Bombay

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AE410-assignment

November 7, 2019 – November 10, 2019

Navigation And Guidance

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Summary

May 18, 2019 – May 24, 2020

A structured summary for research papers which will allow anyone to get up to speed in a topic in a matter of hours

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OS-assignments

January 27, 2019 – September 15, 2019

Assignments done as part of Operating Systems Course (CS 347)

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CFD-codes

January 22, 2019 – November 5, 2019

Assignments done as part of the course Computational Fluid Dynamics (AE 320)

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AE-219

July 21, 2018 – December 4, 2018

Supervised Learning Project - Deep Neural Networks

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GameJam2018

March 21, 2018 – March 22, 2018

3d Puzzle platform game for Ubisoft GameJam 2018. Theme: Treasure hunt

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CS224-Assignments

March 16, 2018 – July 13, 2020

CS224- Computer Networks Assignments

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Key Strengths

Demonstrated academic exposure to Data Science related topics through course projects like 'Neural Network implementation' and 'Medical Image Computing'.
Proficiency in Python, a core language for Data Science, evidenced across multiple projects.
Experience with machine learning concepts (Deep Neural Networks, Supervised Learning) and tools (NumPy, Jupyter Notebook).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration, problem-solving approaches, or communication style.

Krishna Wadhwani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit