Bhoomika
Rasquinha

Strategy · Data · AI · Business Impact

I turn complex data into clear decisions and automation into business value. Consulting rigour meets engineering depth — I work across both worlds and translate between them.

Strategy Technical Work GitHub
Ex-PwC · Big 4 Consulting
GTM · Growth Strategy
Data · AI · Automation
Open to Opportunities

01 — About

Who I Am

I work at the intersection of strategy and technology — where clear thinking and technical fluency compound.

At PwC I built and deployed 80+ automation solutions, saving over 1,000 hours annually and cutting processing errors by 95%. At Key.ai I flipped to the business side — leading India's GTM strategy, running partner events, and building go-to-market frameworks from scratch.

The through-line across everything I do: I think in frameworks and build in code. I can walk into a board meeting and a sprint planning session on the same day — and add value in both.

Python & Automation GTM & Growth Strategy RPA · UiPath Power BI · Analytics India Market Entry Partnerships ML Pipelines Agentic AI

02 — Skills & Tools

Capabilities

Automation & RPA
UiPath Python Process Mining Workday Workflow Design Bot Development
Data & Analytics
SQL Python (Pandas) Power BI Excel / Sheets Tableau A/B Testing
Strategy & Product
GTM Strategy TAM/SAM/SOM PESTLE Market Research KPI Frameworks Product Roadmaps
Marketing & Growth
Campaign Strategy Content Strategy Partnership Mgmt Event Marketing Stakeholder Comms Storytelling

03 — Technical Projects

Technical Projects

github.com/CaffeinatedCoderSam
HousingPricePrediction / Final_House_Price_Model_CLEANED.ipynb
ML · Regression

Housing Price Prediction — Ames Dataset

End-to-end ML pipeline predicting house prices across 2,900+ Ames properties. Full EDA, five engineered features (LuxuryScore, GarageEfficiency, AgeCat, IsOverbuilt, Garage_YearBuilt interaction), and a two-model ensemble (Random Forest vs. Gradient Boosting) evaluated on Log-RMSE with 60/20/20 splits to prevent data leakage.

Python Pandas Scikit-learn Random Forest Gradient Boosting Feature Engineering Log-RMSE
View on GitHub Jupyter Notebook
RecruitmentManagementSystem / Physical model - Team 2.sql
SQL · DB Design

Recruitment Management System — SQL Database

Full relational database design spanning all three modelling layers: conceptual ER diagram, logical data model with normalised relations, and the physical SQL schema with constraints, indexes, and a bonus query set covering complex joins, aggregations, and business reporting queries for a car rental operations use case.

SQL ER Modelling Logical Schema Physical Schema Normalisation Joins & Aggregation Database Design
View on GitHub SQL · Excel
travel-now-pay-later / app.py
Flask · ML · Fintech

Travel Now Pay Later — BNPL Credit Eligibility Engine

A deployed fintech web app that predicts Buy Now Pay Later credit eligibility for travellers across 20 destinations. Users input their financial profile; a trained scikit-learn model scores default risk in real time and returns a personalised trip cost estimate by destination and travel style.

Python Flask scikit-learn Pandas ML Classification REST API Vercel Joblib
Live Demo Python · Flask · Deployed

04 — Strategy & Business Cases

Thinking in Writing

GTM Strategy 8 min read Feb 2025
Spotify × Zara: Designing a Partnership GTM Strategy for Spain
How do you acquire streaming subscribers at a 90% lower CAC? By rethinking the channel entirely. This case study documents the full GTM strategy and product roadmap I built for Spotify to enter Spain's retail music discovery space through a strategic Zara partnership — achieving a 1,247% channel ROI and +10 NPS uplift.
Pricing Strategy 6 min read Jan 2025
From Classrooms to Real-World Strategy: LinkedIn's Pricing Model Decoded
LinkedIn charges very differently for the same underlying data depending on who's buying. This analysis applies value-based pricing theory, price discrimination frameworks, and competitive benchmarking to reverse-engineer why LinkedIn's tiered model works — and where it leaves money on the table.
Customer Centric Design 6 min read Apr 2025
Redesigning BiciMad's Customer Journey — Madrid's Public Bike-Sharing Network
Madrid's public e-bike network had great infrastructure but broken UX. This project documents the end-to-end service design process: empathy mapping, behavioural nudge design, a full As-Is/To-Be journey redesign, and a Figma prototype — resulting in a measurable KPI impact framework across retention, utilisation, and NPS.

05 — Agentic AI

Agentic AI Projects

github.com/CaffeinatedCoderSam
real-estate-content-generator / src/generators/openai_generator.py
GPT-4o · Agentic · Multilingual

Real Estate Content Generator — AI SEO Engine

An agentic AI system that generates SEO-optimised, multilingual property listing content across 5 languages and 4 tones (formal, friendly, luxury, investor). Powered by GPT-4o with structured JSON output, a FastAPI REST endpoint, Streamlit UI, and a built-in content quality evaluation framework scoring structure, SEO, readability, and fluency.

Python GPT-4o FastAPI Streamlit Pydantic Prompt Engineering SEO Optimisation Multilingual (5 langs) Async/Await
View on GitHub Python · FastAPI · GPT-4o

06 — Experience

Career Timeline

Request Resume
Dec 2024 — Feb 2025

Marketing Strategy

Key.ai Growth · Startup
  • Owned India's GTM strategy end-to-end — from market sizing and partner event execution to post-launch performance audits — improving operational efficiency by 30%.
  • Aligned cross-functional stakeholders across Sales, Operations, and Marketing; built data-backed storytelling frameworks that accelerated decision-making and strengthened market presence.
GTM Strategy Market Entry Partner Events Content Strategy Stakeholder Management
Jul 2021 — Oct 2023

RPA Developer & Data Analyst

PwC Big 4 · Banking Operations
  • Led development of 80+ automation solutions across banking operations using UiPath and Python — cutting processing time by 90% and saving over 1,000 hours annually.
  • Built Power BI dashboards and automated eligibility checks, reducing compliance errors by 95% and enabling real-time financial insights for C-suite stakeholders.
UiPath Python Power BI SQL Workday Process Audit

07 — Let's Connect

Open to great
opportunities

Whether you're hiring, collaborating, or just curious about the work — I respond within 24 hours. Let's talk.

Email
[email protected]
LinkedIn
linkedin.com/in/bhoomikarasquinha
GitHub
github.com/CaffeinatedCoderSam