SAN FRANCISCO
I am a senior economist and data scientist with 8+ years’ experience leveraging the power of data analytics to unlock insight and inform complex business, policy and financial decisions. I have developed quantitative analyses in support of large investments assessment, advisory projects and financial litigation cases in advanced and emerging markets.
Building on a background in mathematics, physics and economics, I have notably led or been involved in the development of valuation, forecasting and credit risk models; econometric models (including GLM regressions, panel regressions, time series analyses, survival models, regression discontinuity); cost-benefit analyses. Other areas in which I have experience include: financial modeling, VaR analyses, loss causation, sentiment analyses, survey design.
Over the past few years, as technical program manager, I have led cross-functional teams for the delivery of data driven consulting projects and analytics solutions for clients in industry, the financial sector, and international development. My responsibilities ranged from designing data science delivery models, building primary data acquisition frameworks and analytics strategies, writing and deploying end-to-end ETL applications, to creating dashboards and interactive visualizations, writing and presenting insights reports. I have managed client relationships and have a strong interest in building and managing a diverse team of subject-matter experts, data scientists and engineers. I am looking to connect with entrepreneurs and industry leaders who ambition to tackle key challenges in finance, health, energy, IoT and analytics sectors.
Technical skills:
Languages: Python (preferred), R, SQL
Statistical software / packages: pandas, numpy, scikit-learn, Stata, Matlab
Data visualization: Tableau, Plotly, D3.js, CartoDB, mapbox
Big data ecosystems: Spark, Google BigQuery
Database/cloud infrastructures: MySQL, AWS Redshift/S3, Google Cloud
Spatial statistics: ArcGIS
