Worked in a multidisciplinary team of engineers to provide data-driven and modeling solutions for national and international companies and conducted my Ph.D. studies. ▪️ Developed and implemented several predictive models using machine learning algorithms to assist the design of BioTech devices in Python. ▪️ Solve multi-objective optimization problems using AI & genetic algorithms. ▪️ Developed algorithms in Python and R to clean, extract, visualize, and analyze large-scale data using statistical approaches to extract insights from experimental data. ▪️ Designed a successful automated tool to solve object motion detection problems in MatLab to extract experimental data from images. ▪️ Gained strong foundations in programming languages, linear algebra, and statistics that served me as a great basis to learn and deploy Machine Learning algorithms. ▪️ Communicated results to technical and non-technical audiences.

BTC App Investor: Together with a colleague, we’ve developed an end-to-end Machine learning real-time App written in Python to operate in the BTC market. • Employed data preparation (Feature Engineering, Outlier Detection, Handling Missing Data, and Balancing Data) to ensure the quality of the data. • Used feature projection techniques and selection to simplify the model & dimensionality reduction. Conducted EDA to extract insights and visualization using Matplotlib and SeaBorn. • Evaluated and fine-tuned models to improve the accuracy and efficiency of the Ml models. • Used supervised ML algorithms to classify labeled historical data using Python and ScikitLearn. • Developed an app that automatically executes buy/sell orders in the BTC market through supported exchange Binance APIs.

• Worked as a data scientist consultant for the gastronomic industry and developed data-driven solutions to identify trends, patterns, and business insights using Python and SQL. • Gathered, cleaned, analyzed, and interpreted data and helped our clients make data-driven decisions and detect business opportunities. • Conducted comprehensive exploratory data analysis (EDA) to extract insights using Python and implemented data preprocessing techniques to ensure data quality. • Created charts in Jupyter Notebooks to perform analysis & visualize data using Matplotlib. Employed Looker to create interactive dashboards. • Developed and implemented forecasting models to identify trends, seasonality, and anomalies in temporal data, enabling proactive decision-making. • Assisted clients make data-driven decisions and detect business opportunities. See more at www.statwise.com.ar

• In this job position, I worked in the advertising industry as a data analyst and enhanced daily practices and procedures using data-driven approaches. • Developed Ad hock metrics and gave presentations and reports to the CEO using data analytics and visualization. • Analyzed large and complex datasets using SQL, and Python to identify trends, and insights, and provided actionable recommendations for clients. • Developed interactive dashboards and visualizations using Looker and Python modules (Matplotlib and Seaborn) to communicate data-driven insights.