I am a dedicated data professional with extensive experience across various roles, specializing in optimizing data processes and developing analytical solutions to drive business performance. Currently, I serve as a Data Developer at SchoolStatus, where I focus on enhancing data ingestion processes in the education sector, leveraging advanced technologies to streamline ETL pipelines.
Previously, I worked as a Data Scientist at Wildlife Studios, collaborating closely with data engineering teams to refine predictive models and develop real-time dashboards for key performance indicators. My entrepreneurial spirit led me to co-found CoinAsap, a cryptocurrency start-up, where I managed trading services and implemented secure transaction processes.
Throughout my career, I have consistently utilized my skills in Python, SQL, and various data management tools to deliver insightful analyses and improve data handling efficiency. My diverse background also includes significant contributions as a data scientist at datistix, enhancing AI chatbot services, and experience in market research as a Junior Analyst at Beytech.
With a strong foundation in data science and a passion for driving results through effective data management, I am eager to contribute to innovative projects that leverage data to create meaningful outcomes.
Python
AWS
PostgreSQL
- Advanced machine learning methodologies for management in organizations.
- Management and Analysis of unstructured data.
- Longitudinal data analysis.
- Generalized regression models.
- Fundamentals of predictive analytical methods
- Implementation of machine learning models
- Management and processing of databases and notions of non face-to-face auditing
- Data management in organizational contexts
- Operational research techniques for management
- Multivariate analysis methods
- Exploratory analysis.
- Machine learning: classification.
- Machine learning: linear regression.
- Machine learning: clustering.
- Python for Data Science.
- Machine learning toolbox.
- ELT.
- Business intelligence.
- Numerical analysis.
- Actuarial statistics.
- Actuarial biometry.
- Actuarial theory of property insurance.
- Actuarial theory of personal insurance.
- Actuarial theory of funds and retirement, pension and health plans.
- Actuarial equilibrium theory.
- Actuarial bases of investments and financing.
I specialize in optimizing data ingestion processes in the education industry to enhance efficiency and accelerate execution of the ETL pipelines. Leveraging advanced technical solutions and automation, I streamline data management. My goal is to drive performance and outcomes in the education sector through more efficient data handling.
I have been working closely with the Data Engineering team at ScaleMonk as a DS. In this role, I have utilized technologies such as Airflow and Git to streamline our data pipelines and ensure data quality.
In addition, I have been heavily involved in developing and refining predictive models to drive business insights, as well as creating an alarm system that has been instrumental in alerting us to potential issues before they arise.
Furthermore, I was responsible for designing and implementing the dashboards that we use to monitor our key performance indicators (KPIs) in real-time, which has been a valuable tool for the company in making data-driven decisions.
As the founder of CoinAsap, a start-up crypto company established in 2014, I have played an integral role in managing and overseeing all aspects of the business. My primary responsibility has been to provide trading services to individual clients in Argentina and Colombia. To ensure optimal results, I have conducted extensive analysis of the market and have leveraged my expertise to make informed decisions.
In addition to trading, I have also overseen a variety of other critical functions. For instance, I have managed NFT scholarships and have conducted blockchain analyses of transactions to ensure their accuracy and security. Moreover, I have implemented remittance services and KYC processes to ensure smooth and secure transactions.
As a former AI Developer at Datistix, my primary responsibility was to enhance the company's chatbot service by integrating advanced artificial intelligence techniques. I utilized a range of technologies such as word embeddings, tfidfvectorizer, clustering, scipy, and more to build a powerful AI layer that improved the chatbot's performance significantly. Working on this project has given me a strong understanding of the practical applications of AI and the potential for its use in the future. It was an exciting opportunity to work with a talented team and contribute to the development of a cutting-edge AI-powered chatbot service.
Remittance services between Argentina and Venezuela
Insurance and bank market research. Dealing with statistical information to create useful data for market research reports.
Creating revenue reports to being use in monthly meetings between client and company. Dealing with specific software to execute internal default reports. Analyzing monthly metrics and checking deviations.