- Designed and deployed scalable ETL pipelines for high-profile clients like the World Bank and Inter-American Development Bank (IADB), leveraging AWS EMR, Apache Airflow, Luigi, and Lambda functions, resulting in a 30% increase in data processing efficiency and real-time analytics capabilities.- Architected and led the development of Abogaria.com, a cutting-edge GenAI platform that automates legal document generation, reducing case processing time by 40% through the use of LangChain, AWS Lambda, and SageMaker. -Spearheading migration to AWS Bedrock to enhance RAG knowledge base capabilities.- Engineered and implemented advanced machine learning pipelines utilizing Prophet and ARIMA time series models, improving sales and demand forecasting accuracy by 25%, directly impacting their strategic planning and inventory management.- Streamlined AWS infrastructure deployment by creating comprehensive CloudFormation templates, reducing environment setup time by 50%, and ensuring consistency across all product deployments.- Managed multiple concurrent projects, consistently meeting deadlines and budget constraints while maintaining high-quality standards.Stack - (airflow, python, pyspark, emr, redshift, docker, sagemaker, databricks)

- Developed unsupervised NLP models using Doc2Vec to create embeddings for similarity searches. Fine-tuned a BERT model to classify job vacancies into standardized categories. Conducted research and analysis to understand the labor market dynamics, including trends and disparities, and presented findings to stakeholders in a clear and actionable format. - Worked with cross-functional teams to develop strategies for mitigating discrimination and promoting equity and inclusion in the labor market.Conducted a usability assessment of the National Household Database of Bangladesh for the Ministry of Disaster Management and Relief- Led the implementation of a usability assessment of the National Household Database of Bangladesh for the Ministry of Disaster Management and Relief.

- Led the development of ethical AI guidelines, impacting policy decisions across Latin America- Utilized Bayesian geospatial methods to develop a high-resolution map of poverty across the Latin American region, combining remote sensing (RS) data with comprehensive survey results. - Led the migration of the core analytical processes of the social sector to a cloud-based architecture with technologies such as Lakeformation, S3, Sagemaker, ECS, and Cloudformation.- Led an interdisciplinary team of consultants in creating and maintaining the Social Sector ETL pipelines.

- Collected and analyzed data from diverse sources, including surveys and administrative records, to inform educational policy and decision-making processes.- Performed data cleaning and harmonization to ensure accuracy and consistency across datasets, enabling reliable data-driven insights. Applied statistical and analytical techniques to interpret data, directly supporting strategic initiatives to enhance educational outcomes.

- Conceptualized the DataLab. Developing projects in collaboration with institutions like FAO, CENAPRED, COLMEX and The World Bank. - Partnered with the University of Chicago to design methodologies to accurately approximate poverty profiles across households, leveraging a rich dataset comprising survey responses, geographic information, and transactional data.- Development of methodologies for the definition of preventive public policies (such as the prediction of climate change and its effect on the decrease of agricultural production and anomalous prices) to policymakers, local and federal authorities and evaluation public centers.- Led and organized discussions with cloud companies (e.g. Amazon & Google) and law firms to justify the migration of the ministry infrastructure to the cloud, preparing the stage for all public institutions in Mexico to use the cloud. Stack - (Luigi, python, R)

Development of an Automated Valuation Model (AVM) with data mining techniques and spatial analysis for instant valuation of a property's current market value. Economic analysis of the Real estate market, developing reports of price trends, credit management and risk modeling—Survival Analysis— Infonavit—.

Generation and analysis of statistical data focused on understanding the mechanisms of emergence and spread of violence in Mexico —CIDAC, SEP, NEXOS—

Statistical analysis of different aspects related to the oil spill by British Petroleum in the Gulf of Mexico in 2010 (Affected species, economic cost and tourism)