

Results-driven Senior Gas Controller transitioning to Strategy Analyst role. Over 15 years of experience in refining, chemical, and pipeline operations managing high-risk assets with a focus on safety and compliance. Expertise in control room operations, team leadership, and data analytics using Python, R, and SQL to convert complex data into actionable insights, facilitating strategic decision-making.
Python, Machine Learning
Built a fault-detection model for gas turbine operating data to identify potential failures before they occur. Performed feature engineering, exploratory data analysis, and model selection to improve classification reliability. Demonstrated ability to transform raw industrial signals into actionable operational insights.
Frequent Patterns, Clustering
Implemented frequent-pattern mining using Apriori and FP-Growth to uncover high-support itemsets and association rules from transactional data, demonstrating foundational data-mining capabilities. Applied clustering techniques to segment unlabeled data and assess cluster quality using silhouette scoring, supporting exploratory and strategic analysis workflows.
R, Statistics, Probability,
Completed statistical estimation, hypothesis testing, and probability modeling exercises. Built simulations to evaluate uncertainty and risk — directly applicable to strategy roles involving forecasting and scenario analysis.
Python, Algorithm Design
Implemented classic algorithmic solutions to deepen understanding of computational efficiency and problem-solving patterns. Includes sorting algorithms, search optimization, recursion practice, and complexity analysis. Developed dynamic programming and greedy solutions to complex optimization problems. Improved algorithmic reasoning applicable to cost minimization, resource allocation, and performance strategy.
Classification Modeling, Feature Engineering, Metrics Optimization
Built and tuned predictive models to assess loan default probability. Handled imbalanced datasets, engineered new features, and optimized model performance. Demonstrates ability to apply analytics to financial-risk and decisions support tasks.
Clustering, Behavioral Analysis, Business Insights
Segmented customer datasets to identify behavior-based clusters. Extracted insights that would support targeted strategy, marketing focus, or operational prioritization. Strong example of using data to guide business strategy.
API Integration, Financial Data, Backtesting
Built scripts to pull and analyze financial data using the Alpaca API. Created backtests and performance metrics for trading strategies. Demonstrates ability to combine external data sources with analytics to evaluate strategic decisions.