Manuel Proy Pérez

- Deliver real-time business insights and KPIs by employing advanced analytical techniques for a near-real-time consumer panel through Power BI.

- I develop pipelines using Python and SQL, utilizing advanced analytics approaches, and orches- trate them through Azure Data Factory within Azure Data Lake.

As the Business Intelligence Owner for LATAM countries, I provided functional support, managed data projects, and fostered strong stakeholder relationships.

- Designed and implemented optimal data architecture to address specific business needs.

- Deployment of pipelines with PySpark, Spark, SSIS and T-SQL, orchestrated using Azure Data Factory and Databricks.

- Creation of data marts and semantic models using SSAS and SSRS.

Head of 67 countries Data Analytics iniciatives and suggest data strategy of Pernod Ricard EMEA Latam Data Analytics Hub Excellence Center. Data Officer role: Data Strategy: - Define Data Analytics strategy and manages Stakeholders Relationships for promote and implement Data & Analytics and drives Data Driven culture Data & Analytics: - Marketing Intelligence. Predict Brand penetration on consumers. - Social Media Intelligence: to perform Customer and Brand monitoring on Social Media of on trade customers. - Customer Intelligence. Automatic prospect creation using social media information, NLP for sentimental analysis, customer segmentation prediction using ML models (Random Forest, Naives Bayes, SVM, etc.) - Sales: Sales Forecasting for coming months and evaluate the impact of external indicators which allow to predict Sales data by indirect method - Recommendation System Engine: Predict interesting item based on purchase history. - Customer retention: Prediction of customer churn and survival analysis to estimate customer "live time". - Brands recognition by image: Deep Learning Model AWS S3 over bottle to digitize a tool for Sales Force Team. - Define Big Data and Data Analytics platforms architecture. Data Governance: - Lead Data Governance program, taxonomy, data dictionary, linage and coordinate the working team with Data owners and Data Stewards.