Ankita Joshi

Data Scientist

https://talent.gravityer.com/ankita-joshi

Member since June 25, 2026

Key Strengths

Demonstrated interest in Deep Learning and Machine Learning through multiple personal projects (R2Net, MetaRegNet, FODSeg, deep_learning, MLProject, NLP).
Proficiency in Python, a core language for Data Science, evident across most projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to various sub-fields within AI, including image processing, natural language processing, and general machine learning algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong academic and research-oriented background, with a focus on implementing complex algorithms (e.g., Residual Registration Network, metamorphic image registration network). This suggests a fit for roles requiring deep technical investigation and problem-solving. However, the lack of team projects or professional experience makes it difficult to assess collaboration or adaptability in a corporate environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily lists technical projects without details on collaboration, problem-solving approaches, or communication in a team setting.

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Projects

FODSeg

July 3, 2025 – September 8, 2025

Code for FODSeg: A Deep Learning Framework for Tract-Specific White Matter Segmentation from Full Angular Distributions

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MetaRegNet

August 4, 2023 – September 15, 2023

Implementation for metamorphic image registration network (MetaRegNet)

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R2Net

December 6, 2022 – August 4, 2023

Implementation for Residual Registration Network (R2Net)

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image-processing

February 10, 2018 – March 20, 2018

Solutions for CSCI 8810, Spring 2018

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test

September 12, 2016 – September 12, 2016

test

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deep_learning

April 25, 2016 – May 15, 2016

Rendition of the Udacity Deep Learning Course

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MLProject

April 9, 2016 – May 5, 2016

Course project for Machine Learning

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NLP

November 21, 2015 – December 7, 2015

NLP Project work

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prolog

November 1, 2015 – December 9, 2015

A collection of prolog practise problems.

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October 20, 2015 – September 12, 2016

This was work done towards completing the Artificial Intelligence Course.

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Key Strengths

Demonstrated interest in Deep Learning and Machine Learning through multiple personal projects (R2Net, MetaRegNet, FODSeg, deep_learning, MLProject, NLP).
Proficiency in Python, a core language for Data Science, evident across most projects.
Experience with Jupyter Notebooks, a standard tool for data exploration and model development.
Exposure to various sub-fields within AI, including image processing, natural language processing, and general machine learning algorithms.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Ankita Joshi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit