Hello, I am

Top Skills

Data Analytics and Modelling

• Statistical Modelling
• Machine Learning
• Data Mining
• Predictive Analytics
• Algorithm Development
• Problem Solving
• Insight Generation
• Python
• R
• Tableau
• Database Design
• MongoDB
• Blockchain

Data Management and Visualization

• Data Warehousing
• Data Integration
• Data Cleaning
• Interactive Dashboards
• Web Scraping
• C#
• SQL
• Data-Driven Decision Making

Key Tech Certifications

• Introduction to GenAI (Google Cloud)
• Fundamentals of Azure AI (Microsoft)
• Machine Learning (Harvard)
• Fundamentals of Machine Learning (Microsoft)
• GenAI Job Simulation (BCG)
• Python for Data Science (IBM)
• Cybersecurity Job Security (PWC)
• Hands-On Warehouse
• Data Warehousing (Snowflake)
• Introduction to Cloud Computing (Datacom)
• Data Science by British Airways
• Electronic Arts Product Management

Business Certifications

• Entrepreneurship (University of Minnesota)
• Advanced Excel (Macquarie University)
• Financial Markets (Yale)
• Project Management Job Simulation (CBRE)
• Strategy Consulting (Accenture)

My Projects

Navigating Tech’s Complexities with Purpose

• Crafting an Exceptional User Experience
  I spearheaded the creation of an IT system for BevoBnB, a vacation rental platform in Austin. Utilizing C# and ASP.NET Core MVC, the application was integrated with an SQL Server database on Azure. The main features included role-based access for users, hosts, and administrators, thus ensuring secure management of users. Additionally, the system included robust property search options, better handling and management of reservations, and a review mechanism, all designed to improve and boost user satisfaction and streamline operations. This project highlighted my expertise in developing sophisticated web applications, database management, and maintaining data security and integrity.
  BevoBnB
  IT System
• Boosting Efficiency with Technology
  Our team of five worked collaboratively as technology consultants for El Paso, a small restaurant in Austin. In a client-facing role, we identified key challenges, including inefficiencies in reservation management, unpredictable customer demand, and the lack of real-time table status updates, all contributing to reduced table turnover. To address these issues, we proposed an integrated online reservation system and a visually appealing table management dashboard for the staff. We also leveraged predictive analytics and machine learning models to forecast peak dining hours, improving staffing schedules, reducing wait times, and enhancing table turnover. This project was an eye-opener, allowing me to apply machine learning to real-world challenges, collaborate with clients, and deliver technology solutions that boost operational efficiency.
  El Paso
  Restaurant
• Creating a New Digital Currency
  I piloted a project that used blockchain technology to create Aura Points, a currency akin to a stock market where users speculate on individuals' "aura" based on real-life events. The main aim here was to use blockchain for secure and transparent transaction tracking. The platform’s main features included betting elements such as parlays, to enhance user engagement. I was also able to integrate machine learning models to analyse data in real-time. This data was culled out from social media, predicting which personalities would see the most significant increases in their aura points. This project showed my skill in using blockchain with predictive analytics and machine learning to create innovative solutions that improve digital currencies and engage users.
  Aura
  Points
• Streamlining Data Management
  I led the development of an ETL process for Airline Data Warehouse Integration and Database Management, where I architected a centralized data warehouse to integrate passenger data from two airlines. This involved standardizing data schemas and implementing efficient storage and retrieval systems while normalizing data formats across multiple sources. I also designed and automated the ETL process using optimized SQL queries, reducing runtime and ensuring data integrity throughout extraction, transformation, and loading operations for large datasets.
  Airline
  Data
  Warehouse
• Supporting Student Learning
  As a Teaching Assistant, at the prestigious McCombs School of Business, I balanced and facilitated learning in Decision Science, Information, Risk, and Operations Management. I’ve graded over 300 assignments and case studies, collaborating closely with top faculty to integrate advanced quantitative methods into the curriculum. Additionally, I supported 250+ students through weekly office hours, helping them navigate statistical models and data visualization projects.
  Teaching
  Assistant

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