Prayag Parashar

Data Scientist

https://talent.gravityer.com/prayag-parashar

IIITD CSAI'26

New Delhi, Delhi, India

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (e.g., AI-Web-Scraper, DeepForecast-Revenue, FHIR-Based-NER-and-medical-record-parcer).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks for data analysis and model development.
Exposure to various AI/ML concepts including LLM integration (Llama 3.2), time series forecasting (ARIMA, deep learners), and NER.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects and hackathons, indicating self-motivation and a proactive learning attitude. The diversity of projects, while mostly personal, suggests an eagerness to explore different facets of AI and data science. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative work environment.

Soft Skills & Operational Fit

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

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Projects

TAPP_Hack_Hatch

November 22, 2025 – November 23, 2025

TAPP_Hack_Hatch — GitHub repository

View Project

btp

October 13, 2025 – November 4, 2025

btp — GitHub repository

View Project

VoiceDetectiveAI

September 12, 2025 – September 19, 2025

VoiceDetectiveAI — GitHub repository

View Project

City-Zen-Backend

August 29, 2025 – August 30, 2025

City-Zen-Backend — GitHub repository

View Project

Airothon-API-Genius

August 11, 2025 – August 11, 2025

Airothon-API-Genius — GitHub repository

View Project

api-genius-backend

August 8, 2025 – August 21, 2025

api-genius-backend — GitHub repository

View Project

DeepForecast-Revenue

May 8, 2025 – December 10, 2025

Forecasting hotel room revenue like a time-traveling data wizard. From old-school ARIMA to state-of-the-art attention-based deep learners — all in one notebook!

View Project

Hackathon

March 22, 2025 – May 19, 2025

Working together on making AI powered medical model

View Project

AI-Web-Scraper

January 3, 2025 – January 4, 2025

Web Scraping using Selenium and Beautiful Soap with LLM (Llama 3.2 integration).

View Project

FHIR-Based-NER-and-medical-record-parcer

November 5, 2024 – July 30, 2025

FHIR-Based-NER-and-medical-record-parcer — GitHub repository

View Project

Key Strengths

Demonstrated interest in AI/ML through multiple personal projects (e.g., AI-Web-Scraper, DeepForecast-Revenue, FHIR-Based-NER-and-medical-record-parcer).
Experience with Python, a core language for Data Science.
Familiarity with Jupyter Notebooks for data analysis and model development.
Exposure to various AI/ML concepts including LLM integration (Llama 3.2), time series forecasting (ARIMA, deep learners), and NER.

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 are available.

Prayag Parashar

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit