Namit Shrivastava

Namit Shrivastava

he/him

Graduate researcher in survey methodology, trustworthy AI, and computational social science.

GitHub

Repository showcase spanning research code, automation workflows, and starred builds with measurable outcomes.

Code Portfolio

Public repositories, linked project mappings, and prompt-ready code showcases.

The GitHub profile spans research code, workflow automation, and production-minded prototypes. The showcase data now refreshes from the GitHub API on a schedule, while curated repository mappings connect code back to portfolio work and GitHub Copilot prompts.

Open GitHub profile All repositories Starred spotlight Copilot prompt library

GitHub Snapshot

39 Public repositories
27 Original builds
7 Starred spotlight repos
7 Public stars

Language Mix

Jupyter Notebook · 7 repos HTML · 5 repos Python · 2 repos R · 2 repos SCSS · 1 repos TeX · 1 repos TypeScript · 1 repos

What This Code Covers

  • Research pipelines in survey methodology, NLP, multilevel modeling, and public opinion analysis.
  • Applied AI prototypes spanning Office add-ins, workflow automation, and simulation frameworks.
  • Repository-level documentation that links source code back to portfolio work, CV artifacts, and site content.

Featured Repositories

Python · namo507/AAPOR-Project-EV-Sentiment-Analysis

AAPOR-Project-EV-Sentiment-Analysis

Multi-source EV sentiment analysis comparing Reddit discourse, New York Times coverage, and LLM-based interpretation.

1.1M+ social posts
91.6% model accuracy
35% negative-shift rise
NLP Groq LLMs Survey research
View repository Site project Prompt library

R · namo507/Project_Moneyball_FC

Project_Moneyball_FC

Cross-classified multilevel modeling for player market values across elite European football, linking player, club, and league context.

7,023 rows modeled
78% variance explained
42% valuation premium
Multilevel modeling Sports analytics Transfermarkt
View repository Site project Prompt library

Multi-project · namo507/Portfolio

Portfolio

Portfolio repository of BITS Pilani project reports spanning machine learning, forecasting, experimental design, and environmental analysis.

581K forest rows
5.93% solar MAPE
68.1% plagiarism accuracy
Active learning Forecasting DOE Environmental modeling
View repository Site portfolio Prompt library

Repository Mapping

Copilot Prompt Library

Ready-to-paste prompts mapped to the repositories and projects above.

The prompt library packages the repository context, quantifiable results, and target files so GitHub Copilot Chat can work at the right level of abstraction inside each repo.

Open all prompts
AAPOR-Project-EV-Sentiment-Analysis · Prompt 1 EV Sentiment Analysis Refactor Groq batching, quantify the positive LLM bias, and add temporal trend analysis across subreddits. Project_Moneyball_FC · Prompt 2 Player Market Value Analysis Extend the cross-classified model, compute ICC decomposition, and compare cubic versus simpler time-series terms. Portfolio · Prompt 3 Active Learning for Forest Cover Classification Build a reusable ActiveLearner class, compare five strategies, and add query-by-committee ranking. Portfolio · Prompt 4 Convolutional Neural Networks Rebuild the CNN core in PyTorch, add hyperparameter search, and visualize learned filters.

Starred Spotlight

Python · namo507/AAPOR-Project-EV-Sentiment-Analysis

AAPOR-Project-EV-Sentiment-Analysis

Multi-source EV sentiment analysis comparing Reddit discourse, New York Times coverage, and LLM-based interpretation.

1.1M+ social posts
91.6% model accuracy
10 LLM variants
NLP Groq LLMs Survey research
View repository Site project

R · namo507/Project_Moneyball_FC

Project_Moneyball_FC

Multilevel football market-value analysis connecting player, club, and league context in a single modeling workflow.

7,023 rows modeled
78% variance explained
42% valuation premium
Multilevel modeling Sports analytics Transfermarkt
View repository Site project

TypeScript · namo507/office-doc-redactor

office-doc-redactor

Word add-in for scanning documents, redacting sensitive fields, adding confidentiality headers, and preserving edits through tracked changes.

3 redaction patterns
1 Word add-in
3000 local dev port
Office.js TypeScript Applied AI challenge
View repository

JavaScript · namo507/n8n-Project

n8n-Project

Daily weather automation that pulls OpenWeatherMap data, flags alerts, logs each run to Supabase, and sends a formatted HTML briefing.

08:00 daily trigger
5 workflow stages
1 email digest
n8n Supabase Workflow automation
View repository

Jupyter Notebook · namo507/Smart-Order-Routing-SOR

Smart-Order-Routing-SOR

Strategy backtesting toolkit for simulated smart order routing across multiple venues with TWAP execution and VWAP benchmarking.

2 benchmark styles
3 core libraries
283 repo KB
Market simulation TWAP VWAP
View repository

HTML · namo507/namo507.github.io

namo507.github.io

Source repository for the personal academic site, integrating research metrics, portfolio projects, CV data, and the GitHub showcase.

39 repos linked
17 portfolio entries
5 main sections
Jekyll GitHub Pages Academic site
View repository Visit live site

Multi-language · namo507/Portfolio

Portfolio

Certifications

1 stars
0 forks
41950 repo KB
View repository

Recent Repositories

SCSS · Mar 2026 namo507.github.io Academic personal website showcasing research, publications, and projects Repository · Mar 2026 CV_Namit-Shrivastava Recently updated repository from the public GitHub profile. TeX · Mar 2026 SURV-745_Team-Neyman Recently updated repository from the public GitHub profile. Jupyter Notebook · Mar 2026 Team-PSID Recently updated repository from the public GitHub profile. Repository · Jan 2026 n8n-Project Recently updated repository from the public GitHub profile. TypeScript · Jan 2026 office-doc-redactor Word Add-in for redacting sensitive information with tracking and confidentiality header - McCarren Applied AI Challenge Solution