Management Experience✓ Translating business strategy into technical strategy✓ Cost management and budget creation✓ Bridging the gap between business and engineering by translating engineering performance into business terms✓ Listening to the client voice and other company departments, and creating a technical product a big market of people want, at the right cost, speed and quality for the business stage and market forces ✓ Making a business case for the resources needed for engineering to deliver the business strategyFunctional Expertise:• Demand Forecasting – Customer behavior, Competitor influence, Marketing alignment • Demand Generation - Growth Hacking - Managed $2.1M in Google/Facebook ads with CTR@22.86% and 10.83% conversion increase QoQ. • Risk Management – Market, Credit, Operational, Fraud/Risk Detection• Risk Modeling – VaR, EVT, Black-Scholes, Monte Carlo, Credit Exposure• Digital Marketing, SEO, Google Analytics, Facebook Marketing, A/B Testing, ASO• Finance and Accounting – P&L, Balance Sheets, Cash Flow, AI ExpertisePrompt engineering, make.com, training and maintaining model • Mathematical and Statistical Analysis - Probability, Regression,Causation, Correlation, Forecasting, Optimization, Multivariate Analysis, PCA,• Generative AI, Regression, Clustering, Decision Trees, K-Means, Neural nets, Naive Bayes, Artificial Intelligence, Tensorflow, Theano, Keras, Deep Learning, LSTM, RNN• Predictive Modeling and Analytics: R, SAS, Excel, Octave, SciPY, NumPY, Pandas,Tableau, SAS, Business Objects, Pentaho• Langchain, LLM, GCP, Azure, AWS, Snowflake, Python, R, SAS, Java, SQL• AI Agents: Dialogflow, Rasa, Twilio
Listed skills include Decision Support, Data Warehousing, Risk Management, Data Analysis, and 18 others.