Highlight your Unique qualities.

🚀 AI, Cloud & Code: My Journey in Innovation

Powered by AWS • Fueled by Data • Designed with Users in Mind

1. Sales & Demand Forecasting

Skills Used: Python, Scikit-learn, AWS Lambda, Pandas, Time Series Modeling

Datasets: Kaggle Retail Sales, Bakery POS data

Use Case: Forecast popular cookie flavors for holidays and daily trends.

I built a machine learning pipeline deployed on AWS Lambda that uses historical sales data to predict product-level demand. The model updates daily via scheduled AWS CloudWatch events.

2. Inventory Optimization

Skills Used: AWS S3, API Gateway, Lambda, SQL, Node.js, Inventory Modeling

Datasets: Grocery Inventory Logs, Restaurant Orders

Use Case: Automate stock management and reduce food waste in real time.

I engineered an API-driven inventory system on AWS that tracks ingredient depletion using live sales data, triggering restocking alerts via SNS when supplies run low.

3. Customer Engagement & AI Chatbots

Skills Used: NLP, OpenAI GPT, Dialogflow, REST APIs, JS frontend integration

Datasets: Yelp Reviews, Twitter, CRM Logs

Use Case: Build a chatbot that recommends cookies based on user sentiment and preferences.

I trained a sentiment-aware AI chatbot using customer review data. It interfaces with a frontend via a REST API, and it can recommend flavors, answer questions, or escalate issues.

4. Market & Competitor Analysis

Skills Used: Power BI, Python (Matplotlib, Seaborn), Web Scraping

Datasets: Internal sales data + public competitor insights

Use Case: Visualize sales trends by location and benchmark competitors like Crumbl Cookies.

I created visual dashboards that let marketing teams see which regions overperform and what seasonal patterns emerge — helping them plan local launches more effectively.

🎯 Unified Feature: Smart Calendar with AI, Inventory & Chatbot Integration

Skills Used: React, Figma (UI/UX), Fetch API, Event-driven Architecture

• 📆 Events auto-sync with inventory via API
• 📉 ML predicts demand spikes based on calendar patterns
• 💬 AI chatbot manages scheduling and alerts users to inventory risks
• 🎨 UI includes filters, hover previews, and responsive layout

I designed a command-center-style calendar that does more than track — it thinks, reacts, and coordinates logistics across teams using real-time data.

🧠 My Unique Edge

• 💡 Blending **data science** with **cloud automation**
• 🌐 Designing full-stack experiences with **modern APIs and intuitive UIs**
• 🤖 Building **AI tools** that drive **real business outcomes**
• 📊 Translating messy real-world datasets into smart, usable systems
• 🎨 Passionate about **user-centric design** — from backend to browser