Bridging Scientific Rigor with Data-Driven Decision-Making
Leveraging a unique blend of advanced physics research and data analytics certification, I excel at decoding complex systems into actionable insights. My transition from academia to analytics is driven by a passion for applying quantitative problem-solving, statistical modeling, and machine learning to real-world challenges—skills refined through:
Research & Development: Spearheaded material science projects using hypothesis testing, predictive analytics, and data mining to optimize outcomes.
Data Storytelling: Expertise in Microsoft Power BI, Tableau, and Python (Pandas, NumPy) to visualize trends and drive stakeholder decisions.
Mentorship & Leadership: Trained undergraduate students in calculus-based physics, fostering analytical thinking and problem-solving skills.
📊 Core Competencies
Technical: SQL | Python | Power BI | Tableau | Machine Learning |
Methodologies: Predictive Modeling | Data Cleaning/Wrangling | A/B Testing | Hypothesis Validation
Soft Skills: Cross-Functional Collaboration | Scientific Communication | Strategic Decision-Making
🌐 Why My Background Adds Value
My physics-trained mindset brings precision, curiosity, and innovation to analytics. Whether uncovering patterns in large datasets or optimizing business strategies, I thrive on solving complex problems with data-driven solutions.
🔗 Let’s Connect for roles in:
✅ Data Analysis | ✅ Business Intelligence | ✅ Research Analytics | ✅ Data Visualization