Dikshya Mohanty

Data Scientist

https://talent.gravityer.com/dikshya-mohanty

New YorkMember since June 25, 2026

Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with NLP, LLMs, and predictive modeling, directly relevant to a Data Scientist role.
Proficiency in Python and Jupyter Notebook, essential tools for data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong inclination towards research and development through diverse personal projects, including those in NLP, LLMs, and market forecasting. This indicates a proactive and curious mindset, which can be a good cultural fit for an innovative team. The breadth of projects, from data science to hardware (RISC-V processor), suggests a versatile individual.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

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Projects

Commodity-Market-Forecasting-using-Natural-Language-Processing

May 26, 2025 – May 26, 2025

Commodity-Market-Forecasting-using-Natural-Language-Processing — GitHub repository

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Are-Methods-for-Aligning-LLMs-Prone-to-Catastrophic-Forgetting-

May 26, 2025 – May 26, 2025

Are-Methods-for-Aligning-LLMs-Prone-to-Catastrophic-Forgetting- — GitHub repository

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Analyzing-Humor-Quality-and-Engagement-Trends-on-Reddit

May 25, 2025 – May 25, 2025

Analyzing-Humor-Quality-and-Engagement-Trends-on-Reddit — GitHub repository

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visualizing-policy-impact-on-global-emissions

April 23, 2025 – May 25, 2025

visualizing-policy-impact-on-global-emissions — GitHub repository

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Delulu-5-Stage-Pipelined-RISC-V-Processor

December 28, 2024 – May 29, 2025

Delulu-5-Stage-Pipelined-RISC-V-Processor — GitHub repository

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wp2

September 27, 2024 – November 5, 2024

Warm-up project 2 for CSE502

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dikshyam

September 6, 2021 – Present

dikshyam — GitHub repository

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CMS-Health-Insurance-Marketplace-Prediction

January 16, 2020 – January 16, 2020

The aim of this project is to create machine learning models to predict individual rates based on the benefits & plan attributes offered by different issuers across states, we also performed rate difference when moving between states.

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Santander-Product-Recommendation

November 20, 2019 – November 21, 2019

Santander-Product-Recommendation — GitHub repository

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icsisumm

October 19, 2015 – October 19, 2015

Automatically exported from code.google.com/p/icsisumm

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Key Strengths

Demonstrated interest in Data Science and Machine Learning through multiple personal projects.
Experience with NLP, LLMs, and predictive modeling, directly relevant to a Data Scientist role.
Proficiency in Python and Jupyter Notebook, essential tools for data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment for these areas.

Dikshya Mohanty

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit