I've developed end to end models for fraud detection, risk assesment, and computer vision tasks serving over a 1MM requests and preventing thousands of fraud attacks, across many industries, mainly fintech.I work with AI, ML, CV, data modeling, MLOps, and project scoping.I keep our ML strategy aligned with our product and systems.

Lead data driven decisions for outreach, upselling, and user retention strategies for the sales and marketing teams. The projects ranged from descriptive statistics to ML and AI on classification and regression tasks over user data.Also developed a computer vision project to apply object detection techniques to prevent unwanted objects on user uploaded images.Additionally, I've overseen the development of business intelligence using PowerBI dashboards, alongside python for data pipelines, essential for optimizing business operations control. have created comprehensive reports tailored for our investors and board of directors.

Exploration of high dimensional time series data of economic sentiment obtained through natural language processing (NLP) techniques. Successfully showed predictive power of economic sentiment on traditional economic indicators using ML models and evaluation frameworks.

Data Science master's degree.Full time scholarship by Conacyt.

Tools: Python, Excel, MQL4.• Software development to extract, transform, and load financial data.• Time series analysis• Research and backtesting of trading algorithms.• Trading signals based on technical analysis.

Part of my social services.Assisted in research in applied econometrics:• Data extraction (Macroeconomic variables).• Part of the proofreading process of articles pre-submission.