Bio

I am an expert data science and applied scientist (machine learning, deep learning, AI) with >10 years of experience across many verticals, (e.g., Healthcare, Pharmaceuticals, Financial Services, Education, Aerospace and Defense). - Excellent reputation for resolving problems and improving customer satisfaction. - Facilitated several sales and upsells as a team's subject matter expert. - Strong leadership abilities with experience leading remote teams of engineers, project managers and data scientists both in US and EU. I founded a successful data science and AI consulting company with the mission of making applied AI accessible to enterprises and start-ups. I enjoyed having my own business and now, I'm thrilled to go into my next adventure with lessons learned and increased acumen. Career Highlights • Managed multiple diverse teams across continents to produce data science and artificial intelligence products • Presented work on computer vision and distributed computing in the US and EU, bringing recognition and international attention to company products. Facilitated marketing with advertising. • Facilitated sales >$40M at different companies by demonstrating AI & Data Science product value via proof-of-concepts, RFP, business metrics (KPIs) Areas of Expertise • Project Management (i.e., WBS, project planning, technical requirements, Agile) • Building data science / engineering teams from the ground-up • Staff education and training • Team Leadership, People Development • Increasing ROI for customers via product usage in turn increasing customer spend • Engagement / Stakeholder Management • Product Development Collaboration Technical Skills • Strong programming skills (R, Python, Bash) • Large-scale data analysis using distributed computing (Spark, Ray, Dask, MPI) • PyTorch, TensorFlow, Transformers, DeepSpeed, FairScale, OpenCV, other AI-related libraries • Natural Language Processing, Reinforcement Learning • Transfer Learning, Supervised, Unsupervised, Semi-Supervised Learning, R&D • Productionizing Pipelines, Docker • Applied Machine Learning and Artificial Intelligence • Computer Vision, Deep Learning, Neural Networks, Natural Language Processing • Data Visualization and Analytics tools: Tableau, Looker, Seaborn, Plotly, GGPlot Certifications and Skills Tests • R-based, Python-based • Big Data and Distributed Computing (e.g. Hadoop) • Machine Learning • Statistics