Petrus R.

About Petrus R.

Seasoned strategic leader, results-oriented, BIG DATA Advanced Analytics/Decision Science, DIGITAL/financial strategy, IoT, Business Intelligence, Business Transformation, Innovation and risk management extensive industry experience spanning in Technology, Financial Service/FinTech, transportation/airlines, SaaS, mobile, e-commerce, electronic payments technology, and logistics/supply chain analytics and retailTECHNICAL SKILLSAirFlow, MLFlow, KuberFlow, Jupyter Notebook, PySpark, PyTorch, Tableau/Power BI, R/Python, SAS/SQL, Databricks, BigQuery, Alteryx, Data Warehouses (Hadoop, Spark, Cloud-AWS, Azure, GCP), Oracle, Salesforce.com/MS DynamicsFocus on Data Science, Advanced Analytics, business strategy/transformation,IoT,AI, pricing/financial strategy & analytics, Competitive Intelligence, customer segmentation,marketing analytics, risk mitigation, product development, business processes/ methodologies improvements, and revenue growth management optimization. Core Competencies • Forecast/Predictive Analytics• Corporate Strategy/Business TransformationBusiness Intelligence/BIG DATA Transformation/CRM Analytics/Machine Learning/IoT/Artificial Intelligence• Financial Modeling/Risk Management (Analytics)• P&L Management/Competitive Intelligence• Pricing Analytics, Product/Customer Analytics• Revenue Growth Optimization/Revenue Management• Contract Negotiations/Business Development• Leading/Mentoring Team• Process Re-Engineering/ Improvement• Customer Experience/ NPS/ Loyalty programs strategy• Supply Chain Analytics, Operational Excellence* In-depth functional knowledge of Customer, Pricing, Revenue Management, Marketing, Merchandising/Category Management, Supply Chain, R&D and eCommerce* Deep expertise across full range of data science areas from traditional statistics to AI/ML to exploring and testing the emerging frontiers in the data science related technologies.* Driving data-driven mindset in global organizations through change management.* Creating a cross-functional innovation eco- system to identify growth opportunities.* Solid understanding of best-in-industry practices and commercial solution/vendor/service provider landscape. Linear regression, Logistic regression, SVM, k-NN, Naïve Bayes, CART, ensemble—Random Forest, Gradient Tree Boosting, and Voting Classifier, Dimensionality Reduction, Principal Component Analysis (PCA), Matrix Factorization, Singular Value Decomposition, Stochastic Gradient Descent, Fast Fourier Transform (FFT), Cosine transform, and Collaborative Filtering

Experience

1. Sr Manager Advanced Analytics

   HP

   Jan 2016 — Present

Education

• Louisiana State University

  BSc. Finance & Computer Science

• University of Phoenix

  BSc., Accounting

• Keller Graduate School of Management of DeVry University

  MBA -Decision Science & Strategy

  2009 — 2011