Who I Am?
Curiosity led me from coding small tools for everyday problems to building data-driven solutions for global teams. With experience spanning business analytics, machine learning, and research at Arizona State University, I thrive on turning complex challenges into actionable insights. My journey is about connecting the dots—one dataset at a time.
Open to: Data Science, Analytics, Business Intelligence, or other roles where data meets impact.



Projects
A selection of recent analytics, AI, and data engineering projects.
Financial Forecasting Dashboard
MedAire, Inc.
Power BI, DAX, PythonDeveloped an interactive Power BI dashboard with advanced DAX to forecast contractual revenue, improving budgeting accuracy. Built forecasting pipelines in Python and evaluated Time Series, RNN, and Exponential Smoothing models, reducing RMSE by 50%. Enabled cross-functional teams to simulate scenarios with dynamic KPIs and sensitivity levers.
View on GitHubWait Time Estimation for Campus Eateries
Arizona State University
YOLOv8, Regression, Python, OpenCVEngineered a YOLOv8-based model to detect and count customers from video feeds, using spatial filtering to improve queue monitoring. Trained a regression (MLP) model on image-derived counts to estimate wait times, delivering high predictive correlation and actionable real-time analytics for campus dining.
View on GitHubChatGPT Market Positioning & Segmentation
Arizona State University
Python, PCA, K-Means, Survey AnalyticsConducted a perceptual study and applied PCA to define ChatGPT's key positioning dimensions (99.8% variance explained). Segmented users via K-Means and delivered pricing recommendations for high-loyalty customer segments, driving strategy for targeted product development.
View on GitHubBERT Topic Modeling & Sentiment Analysis
Arizona State University
Python, BERTopic, UMAP, Deep LearningEngineered a BERTopic model with UMAP on 100K+ Yelp tips to uncover 30 high-impact customer experience themes. Achieved 92% sentiment classification accuracy with deep learning, enabling actionable segmentation by cuisine, sentiment, and location for strategic business insights.
View on GitHubProgramming Languages & Tools
Data Analytics & BI
Statistical Analysis
Machine Learning & AI
Database & Cloud
Business & Collaboration
Research Assistant – AI for Breast Cancer Detection
- Developing and optimizing deep‑learning object‑detection pipelines (like Faster R‑CNN, YOLO‑based architectures) for automated breast‑cancer screening on the VinDR Mammogram dataset, streamlining data preprocessing and training workflows
- Collaborating with the team to annotate detailed tumor and lesion characteristics, enabling the creation of explainable‑AI models and rigorous side‑by‑side comparisons with traditional “black‑box” approaches
Data & BI Analyst – Revenue & Operations Strategy
- Developed SQL-powered Metabase dashboards to track potential premium users & performance metrics, raising revenue by 30%
- Predicted staffing needs using sales KPIs in Python & Excel, aligning 15+ FTEs to boost output and add $200K/month in revenue
- Automated lead flows employing CRM Automation; optimized workforce allocation, increasing lead to conversion rates by 1.5%
Business Intelligence Analyst – Partner Strategy
- Built Zoho Analytics dashboards, delivered weekly CEO reports, improved partner activation by 15%, and led predictive modeling on competitors’ data to onboard 500+ partners in 3 months
- Led EDA on applications using Excel & Stats, evaluated product gaps & streamlined ops to raise partner activation by 15% MoM
- Conducted predictive modeling on competitors' data to align B2B business strategy, onboarding 500+ consultants in 3 months
Sales Data Analyst – Customer Insights & Segmentation
- Conducted customer segmentation using K-Means clustering to optimize go-to-market strategy, uplifting conversion rates to 60%
- Implemented SWOT analysis and SOP redesign to refine engagement & customer service, achieving a 90% student retention rate
IT Operations Analyst – Service Analytics
- Created service data visualizations via ServiceNow analytics suite, boosting SLA tracking accuracy and reducing breaches by 15%
- Designed custom reports and incident trend models for clients, improving IT helpdesk efficiency and limiting backlog to 5%
Let’s work together!
Have a project or opportunity in mind? Reach out via email or connect on socials below.