Data and Technology Leader who builds high-performing diverse teams that generate significant business value to clients. Highly experienced in leveraging emergent AI tools and cloud/edge-based technologies to create modern data ecosystems and scalable MLOps frameworks. Developer and Architect of media measurement products that enable advanced analytics capabilities for brand and direct response agencies.Core Competencies:Data & Product Strategy, Analytics, Data Science, AI/MLOps, Data Engineering, Data Warehousing/Data Lakes/Data Mesh, Software Engineering (full-stack), Cloud and Edge-based Computing, Solutions Architecture, Statistics, Predictive Modeling, Campaign Measurement, Attribution, Media Mix Models, Econometrics, Customer Segmentation, Monetization, ROI, User Personas, AB Testing, Conversion, Market Research, Pricing, Churn, CLV, Amortization, CSAT/NPS, Customer Retention, Database Management, Data Governance, ELT/ETL, GTM & Brand Strategy, Growth Hacking, Process Improvement, FP&A, P&L Management, Forecasting & Budgeting, Investor Relations, Capital ExpendituresTechnical Expertise:- SQL, Python, R, JavaScript/React, TypeScript/Angular- Open AI/ChatGPT-4, BARD- Snowflake, Fivetran, dbt, Azure, Data Factory, AWS, MS SQL Server, Redshift, Hadoop/Hive, Oracle- Tableau, Power BI, Looker- Pentaho, Kafka, STRIIM/MQTT, Figma, Grafana, Attunity Qlik Replicate- TensorFlow, PyTorch, DataRobot, Dataiku- GitHub, GitLab, CI/DI, Agile Scrum, JIRA, Confluence- Google Analytics, DCM, Google Tag Management, Facebook Ads Manager, The Trade Desk, IRI - Salesforce, Qualtrics, Marketo, Eloqua, Oracle ERP, CPQ, Anaplan, PeopleSoft, Adobe / Omniture,- Segment.io, Hyperion-Essbase, Optimizely, Nielsen, comScore, TVSquared, iSpot, AppsFlyer, MediaMath- OTT/CTV Platforms, Device Graphs (Deterministic & Probabilistic Attribution)- Linear Regression, Logistic Regression, [XGBoost (GBDT/GBM) + k-fold CV + Feature Importance] PCA, KNN