Ankita Joshi

Data Scientist

https://www.opentalent.in/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

View Project

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.

View Project

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