Bipin Chadha

Executive Leader and a hands-on Data Scientist with expertise in all facets of enterprise leadership including business architecture, strategic optimization and outcomes, predictive and prescriptive analytics, pricing, marketing, and risk modeling, building global cross-functional teams, and systems thinking. Adept at building strong trusting relationships, cultivating partnerships with stakeholders, analyzing data to mitigate risks, resolving issues, and capitalizing on strategic opportunities. Skilled in understanding complex business challenges, creating new application concepts/AI algorithms with quantified business impacts (4 patents), and aligning workflows to transform business models into bottom-line results. AREAS OF EXPERTISE: • Predictive Analytics • Machine Learning / Deep Learning • Leading High-Performing Teams • Artificial Intelligence (AI) • Intelligent Automation / RPA • Strategic Planning & Analysis • Big Data & Data Visualization • Chatbots / NLP • Simulation / Digital Twins • Agent-Based Modeling • Causal Modeling • Systems Thinking / Transformations Java, Python, Scala, R, Hadoop/Spark, TensorFlow, Matlab, SQL, AWS, Anylogic, DataRobot, Spyder, Jupyter, OptQuest, Express, pandas, numpy, scipy, sklearn, nltk, spacy, keras, altair, Hive, DL4J, RL4J, D3JS, OR-Tools. MAJOR ACCOMPLISHMENTS: • As the chief data scientist for all the global Data Science functions within Ascential, I mentored data scientists, supported data science strategy and projects, and led peer reviews for data science projects. • Engaged senior leaders at CopperPoint to prioritize business needs, created a state-of-the-art data science department, deployed cloud-based infrastructure and tools, and developed models that saved two million dollars. • Created, at USAA, an individual level (segment of one) consumer behavior model that incorporated customer lifetime value, journeys, social networks, and behavioral data and saved over $100M. • Coached, mentored, and trained several employees at USAA to become data scientists, built over two dozen models, submitted 5 patents, and saved over $10 million dollars. VALUE PROPOSITION: As a hands-on leader of data science teams, I create systemic data-driven models that enable executives to: understand how their business operates, analyze a broad range of scenarios and strategies, and understand the likely implications of decisions and events prior to implementing risky/costly changes. My passion is building data-driven cultures, developing effective teams, and driving organizations to grow and succeed.