Ishan Dwivedi

Data Scientist

https://talent.gravityer.com/ishan-dwivedi

I build software applications that handle real user problems—from medical consultations to AI-powered creativity.

Member since June 29, 2026

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (emotion-detection-app, research-assistant, ai_assisted_teleopthalmology, Cortexa, Music-Composing-DL, ai-news-pipeline).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebook for data analysis and model development.
Exposure to NLP (IBM Watson) and deep learning concepts (CNN, ANFIS, blockchain integration in Cortexa).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a strong interest in AI/ML, which aligns with a Data Scientist role. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The diversity of projects indicates a proactive learning attitude.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

emotion-detection-app

May 7, 2026 – Present

A web-based emotion detection system that analyzes text to identify emotions using IBM Watson Natural Language Processing (NLP) services.

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java-database-capstone

April 8, 2026 – Present

This is a tutorial project that was given in Java Developer Capstone Projects. It teaches best practices for software development using Java, GitHub and Docker

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research-assistant

March 21, 2026 – Present

This Research Assistant is a minimal, AI-powered research assistant designed to perform two high-value tasks: summarization and intelligent suggestion. It allows users to input raw text or queries and receive concise summaries along with relevant, context-aware suggestions to guide further exploration.

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ai_assisted_teleopthalmology

February 23, 2026 – Present

a detailed analysis of AI and ANFIS assisted teleopthalmology using CNN and gaze tracking systems.

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Cortexa

February 22, 2026 – Present

Cortexa is a deep learning and blockchain-powered application that analyzes pathological reports and generates preliminary assessments for potential conditions such as sleep disorders, tumors, AFib, and burnout.

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Music-Composing-DL

February 21, 2026 – Present

A Streamlit web app that leverages a pre-trained deep learning model to generate Bach-style chorale compositions.

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ai-news-pipeline

February 10, 2026 – Present

ai-news-pipeline — GitHub repository

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particle-simulation

February 8, 2026 – Present

particle-simulation — GitHub repository

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ghibli-image-generator

February 7, 2026 – Present

ghibli-image-generator — GitHub repository

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finetuned-metal-craft

February 5, 2026 – Present

finetuned-metal-craft — GitHub repository

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Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (emotion-detection-app, research-assistant, ai_assisted_teleopthalmology, Cortexa, Music-Composing-DL, ai-news-pipeline).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebook for data analysis and model development.
Exposure to NLP (IBM Watson) and deep learning concepts (CNN, ANFIS, blockchain integration in Cortexa).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Ishan Dwivedi

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit