I’m a passionate and versatile data professional focused on building intelligent, scalable systems that connect data, software, and AI into unified solutions. My mission is to transform raw data into measurable business impact through smart engineering, automation, and data-driven innovation.
I analyze complex datasets to uncover trends, patterns, and opportunities that drive strategic decision-making. By combining exploratory data analysis, visualization, and storytelling, I turn data into clarity—helping businesses act confidently and proactively based on evidence, not assumptions.
I architect and automate robust data pipelines using Python, SQL, and AWS, ensuring clean, reliable, and high-performance data flow across distributed systems.
Python • Tableau • Data Visualization
Analyzed supply chain inefficiencies and developed interactive dashboards to inform stakeholders of potential issues and strategic enhancements.
Python • EDA • Machine Learning
Data Science Capstone analyzing historical wildfire data to identify primary causes and formulate prevention strategies for the USA.
Python • Time-Series • ML
Created trading strategies using time-series analysis and machine learning models with moving averages (MA50, MA100) for buy/sell signals.
Tableau • Excel • Data Analysis
This is a Campaign Marketing Analytics Project using Tableau that focuses on optimizing conversions, enhancing profitability, and minimizing costs.
PostgreSQL • Data Analysis
Advanced SQL analysis of product data to optimize revenue streams for an online sports retail company.
Python • Data Quality • Compliance
Cleaned and validated attendance, demographic, and program data. Calculated attendance rates and chronic absenteeism status by semester. Evaluated effectiveness of interventions, providing data-driven recommendations for program compliance.
Tableau • Excel • Data Analysis
Interactive Tableau dashboard analyzing pizza prices across NYC boroughs to find the most affordable options.
PostgreSQL • Data Cleaning
SQL-based analysis of video game sales data from 1977-2020 to discover the golden age of gaming.
CCSCNE 2022 - Consortium for Computing Sciences in Colleges Northeastern Conference
This research presents an innovative chatbot designed to assist beginner programmers in learning Python. The chatbot leverages natural language processing and machine learning techniques to provide personalized learning support, answer programming questions, and guide students through common coding challenges. The system demonstrates significant improvements in student engagement and learning outcomes for introductory Python programming courses.
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