Turning raw data into actionable intelligence through scalable pipelines, ML models, and compelling visualizations.
I'm a Data Engineer & Analytics Professional with a Master's in Business Analytics and Information Systems from the University of South Florida. My passion lies in building scalable data infrastructure and leveraging machine learning to uncover actionable insights.
I specialize in designing end-to-end data pipelines, developing predictive models, and creating compelling data visualizations that bridge the gap between raw data and strategic decision-making. From ETL orchestration to real-time streaming and AI-powered applications, I bring a holistic approach to every data challenge.
Scalable ETL/ELT workflows with orchestration
Azure, AWS — cloud-native data solutions
Predictive models & AI-powered applications
from pipeline import DataPipeline
pipeline = DataPipeline(
source="api.weather_data",
transform=[
"clean",
"normalize",
"feature_engineer"
],
destination="snowflake.analytics_db",
schedule="@daily"
)
pipeline.run() # ✓ 11 cities processed
Design and build scalable ETL/ELT workflows that process millions of records. From API ingestion to warehouse loading with automated quality checks.
Architect cloud-native data solutions on Azure and AWS. Build data lakes, set up streaming pipelines, and deploy containerized analytics services.
Develop predictive models and AI-powered applications using Gemini API, scikit-learn, and TensorFlow. From churn prediction to conversational AI chatbots.
Transform raw data into compelling stories with interactive dashboards and geospatial analytics. Enable data-driven decision-making at every level.
End-to-end ETL pipeline processing climate data across 11 US cities — ingesting hourly weather data from Open-Meteo API, transforming into a dimensional model with dbt, and serving analytics via a live Streamlit dashboard.
AI chatbot channeling Warren Buffett's value investing wisdom. Powered by Google Gemini 2.5 Flash with live yfinance market data, token-optimized context management, and a premium Streamlit UI.
Built 5+ classification models (Logistic Regression, SVM, Random Forest, XGBoost) with feature engineering to predict customer churn and optimize bank marketing retention strategies.
Mined 45,000+ records from Portuguese bank direct marketing campaigns. Applied decision trees, logistic regression, and ensemble methods to predict term deposit subscriptions with optimized recall.
Analyzed 7 years of property data (2015–2022) across St. Petersburg neighborhoods using geospatial analytics and interactive Tableau dashboards to identify value trends for stakeholders.
Building and optimizing scalable data pipelines, designing cloud-native analytics architectures, and driving data-driven decision-making across the organization.
Advanced coursework in data analytics, machine learning, cloud computing, and business intelligence. Built end-to-end data pipelines and AI applications.
Supported academic research and teaching in analytics courses, assisted students with data analysis and visualization projects.
Worked on enterprise-level technology solutions, contributing to data-driven projects and gaining experience with large-scale system implementations.
Strong foundation in engineering principles, signal processing, and embedded systems. Developed analytical and problem-solving skills applied to data engineering.
I'm always open to discussing data engineering roles, analytics projects, or collaboration opportunities. Let's build something amazing together.