Priyank Bhandia

Data Scientist

https://talent.gravityer.com/priyank-bhandia

http://stackoverflow.com/users/5699807/priyank

Bengaluru, Karnataka, India

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Multiple personal projects related to Machine Learning and Data Analysis (e.g., 'dataset-pruning-sarcasm-detection', 'News-Event-Intra-Day-Tracking', 'bny-crypto').
Familiarity with Jupyter Notebook, a common tool in Data Science workflows.
Exposure to concepts like Machine Learning in Production and AI Engineering through the 'seai' project.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration in AI/ML domains. The diversity of projects, from academic lectures to practical implementations, suggests a proactive and self-driven individual. However, the lack of team-based or collaborative project descriptions makes it difficult to fully assess cultural fit in a professional team setting. The projects align well with a Data Scientist role, indicating a genuine interest in the field.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

fluencyarc

March 26, 2026 – Present

coachingclass

View Project

dataset-pruning-sarcasm-detection

November 6, 2022 – December 23, 2022

dataset-pruning-sarcasm-detection — GitHub repository

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CI_Tutorial

October 14, 2022 – October 29, 2022

Tutorial on using Continuous Integration

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bny-crypto

October 1, 2022 – May 11, 2023

MSAII Capstone

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seai-recitation1

September 2, 2022 – September 2, 2022

seai-recitation1 — GitHub repository

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idl-spring-22-project-deepar

March 20, 2022 – May 18, 2022

idl-spring-22-project-deepar — GitHub repository

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seai

February 14, 2019 – February 22, 2023

CMU Lecture: Machine Learning In Production / AI Engineering / Software Engineering for AI-Enabled Systems (SE4AI)

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USP_fs

January 30, 2018 – March 8, 2018

USP_fs — GitHub repository

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News-Event-Intra-Day-Tracking

November 1, 2016 – October 10, 2017

Python implementation of positive news picking and stock price tracking

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PESU-AerX-ATC_Sim

June 17, 2016 – January 23, 2018

Repository of code and other files used to setup and evaluate Speech-to-Text Engines

View Project

Key Strengths

Demonstrated experience with Python, a core language for Data Science.
Multiple personal projects related to Machine Learning and Data Analysis (e.g., 'dataset-pruning-sarcasm-detection', 'News-Event-Intra-Day-Tracking', 'bny-crypto').
Familiarity with Jupyter Notebook, a common tool in Data Science workflows.
Exposure to concepts like Machine Learning in Production and AI Engineering through the 'seai' project.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Priyank Bhandia

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit