Skip to content
View RahulSahaSony's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report RahulSahaSony

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
RahulSahaSony/README.md

Hi I'm Rahul

👨🏻‍💻 About Me

Analytics and machine learning professional with 7+ years of experience across ad tech, operations, and growth strategy, recently complemented by a Master’s in Business Analytics.

I’ve worked at the intersection of business and data — scaling programmatic revenue, building ad operations infrastructure, and developing analytical solutions for forecasting, fairness, and decision-making. Most recently, I supported budgeting, analytics, and large-scale global event operations at the International Monetary Fund (IMF).

My interests include applied machine learning, time series forecasting, explainable AI, and data-driven decision systems.

💼 Experience

  • International Monetary Fund (IMF) — Analytics & Budget Support (Extern)
    Supported $3M+ event budgeting, compliance documentation, and analytics for global meetings.

  • Adferry — Founding Team, Growth & Strategy Lead
    Led cross-functional initiatives across ad tech, finance, and operations; scaled programmatic revenue and built the company’s platform and brand.

  • Wonderlo Inc — Operations Manager
    Launched ad server infrastructure, managed 50+ partners, and scaled RTB revenue through analytics, experimentation, and fraud detection.

  • Quantanite — Senior Analyst
    Led data processing, analytics workflows, and client-facing reporting initiatives.

🧪 Selected Projects

  • LaborIQ — AI Career Intelligence Assistant
    RAG-based system combining structured labor-market data with LLMs to deliver salary benchmarks, skill gaps, and career insights.

  • Explainable ML for Mortgage Fairness
    Built interpretable models (EBM, GLM) on 180K+ records to improve predictive performance while reducing demographic bias.

  • Capital Bikeshare Demand Forecasting
    Time series forecasting using Holt-Winters and ARIMA with rigorous diagnostics in R.

  • SupplyGuard — AI Beyond Defense
    Multimodal AI tool to help policymakers assess supply-chain concentration risk and non-military security threats.

🔧 Tech Stack

Languages: Python, R, SQL, HTML/CSS
Visualization: Power BI, Tableau, Matplotlib, Excel (Advanced), Google Sheets, PowerPoint
Machine Learning: Linear Regression, Logistic Regression, Decision Trees, SVM, KNN, BERT, LSTM
Other Tools: Microsoft 365, Google Workspace, AWS (basic), GitHub, Grafana, QuickBooks, Canva, Figma

Visitor Count

📫 Let’s Connect

LinkedIn Email
Resume

Pinned Loading

  1. ai-expo_hackathon ai-expo_hackathon Public

    AI+ Expo Hackathon @Washington DC by SCSP + AGI House

    Python

  2. GWU_rml GWU_rml Public

    Forked from jphall663/GWU_rml

    Jupyter Notebook