I am a Data Science student with an engineering background in Industrial and Mechanical Engineering, focused on building data-driven solutions for real-world systems.
My work sits at the intersection of analytics, machine learning, and engineering, where I translate complex data into actionable insights for decision-making in manufacturing, energy, and operational environments.
I care deeply about interpretability, efficiency, and real-world impact, and I approach data science with an engineer’s mindset: understand the system first, then optimize it.
🤖 Artificial Intelligence & Machine Learning
Supervised Learning · Classification · Regression · Model Evaluation
📊 Data Analytics & Data Science
Exploratory Data Analysis (EDA) · Feature Engineering · Data Preparation
🔍 Model Interpretability & Explainability
SHAP · Feature Importance · Trustworthy AI
⚙️ Optimization & Systems Thinking
Efficiency · Performance · Trade-offs · Engineering Decision-Making
📈 Data Storytelling & Visualization
Insight Communication · Dashboards · Decision Support
📫 Let’s Connect
Engineering explains how systems work. Data science shows how to improve them.
