Dean V.

I’m a data scientist with over 20 years of experience in applying advanced analytics, AI/ML, and statistical modeling to solve real-world problems across domains such as sales, marketing, healthcare, and fraud detection. My expertise includes: - Supervised Machine Learning / Predictive Modeling - Explainable AI (XAI) — I prioritize algorithms that deliver explainable, transparent results over “black box” models. - Anomaly detection - Econometric and time series analysis - Segmentation and clustering - Natural language processing (NLP) - Web scraping - Consumer research (survey design and data analysis) Other notes about me: - I don't need a lot of direction and am comfortable navigating through ambiguity. - With extensive experience in “data wrangling,” I’m comfortable working with complex data. - My current programming focus is in Python (including PySpark for "big data") though I have extensive prior experience with SAS and R. I’m also proficient in SQL, but my preferred workflow involves moving data into Python as quickly as possible for streamlined analysis and development. - I am employed full-time, so any work must not conflict with my current position and will be conducted during evenings and weekends. However, I can accommodate brief meetings during normal business hours as needed. - English is my native language. Thanks for reading and I hope to hear from you!