Ciro O.

Data Scientist

Data Scientist
3/1/2022 - Present

Developed and maintained models related to loan risk assessment, lead generation, and market forecasting. Played a pivotal role in the enhancement and creation of machine learning pipelines, feature stores, and internal libraries to streamline data science operations. Applied extensive machine learning and data science techniques to predict potential customer behavior, aiding the sales team in identifying promising leads for various product offerings such as bridge, rental, and construction loans.

Utilized data from Landvision, which provides comprehensive real estate transaction metrics across the USA, to inform model development. Designed a model that predicts whether a potential customer will make a transaction in the near future, thereby enabling the sales team to proactively offer loans to these high-probability customers. Leveraged Amazon SageMaker to create an automated pipeline that ensures the model undergoes monthly retraining and continuous performance monitoring. Enhanced skillset with hands-on experience in machine learning engineering, data pipeline automation, and predictive analytics.

Data Scientist
9/1/2021 - 2/1/2022

Played a key role in establishing the data team and initiating data science efforts to leverage over a decade's worth of market data. Contributed to the inception of the company's data scientist team and collaboratively defined foundational data science model research strategies. Developed the real estate pricing model, overseeing the technical aspects and supporting the product team. Assisted in formulating strategies to generate value through products utilizing this model's intelligence.

Data Scientist
5/1/2021 - 8/1/2021

Developed expertise in team formation and technical model development for a financial investment platform. Established collaborative working practices, integrating git for code management and review, and standardized project structure using cookiecutter for efficient research and development of data products. Instituted weekly knowledge-sharing meetings to discuss challenges and strategies, fostering an environment for continuous improvement and collaboration.

Technically, spearheaded the creation of the first lead qualifying model to identify free users with a high probability of converting to paid users. The model involved calculating a match score of users with various products, directly influencing purchase decisions. Delivered the model to the marketing team for feedback, leading to iterative improvements and aiding the data engineering team in structuring infrastructure to support data science deliveries.

Data Scientist
11/2/2019 - 4/1/2021

Enhanced expertise in data science by developing models to predict rental and sale prices for properties. Demonstrated capability to collect data, train models, and define deployment strategies, including retraining and monitoring processes. Played a crucial role in a quality-focused squad responsible for improving the overall quality of real estate listings through a listing score, with property price being a key metric. Collaborated with product teams to strategize model usage aligned with objectives and OKRs. Successfully applied listing scores in selected neighborhoods and analyzed metrics to gauge ad owner responses, providing insights into how the listing scores impacted owner behaviors such as contacting for changes or ignoring the scores.

Data Scientist
9/2/2018 - 10/2/2019

Engaged in multiple consulting projects focused on creating machine learning models to address business challenges. Successfully optimized the negotiation of MDR rates for a card acquirer, achieving reduced negotiation times and maximizing rates. Developed a demand forecasting solution for over 200 products to enhance the logistic network of a petrochemical company, facilitating efficient planning of storage and distribution between factories and distribution centers across Brazil. Demonstrated expertise in machine learning, data analysis, and supply chain optimization using advanced predictive modeling techniques and logistic planning tools.

Data Scientist
11/2/2017 - Present

Acquired substantial knowledge in Big Data tools and Data warehousing, enhancing capabilities in handling large datasets efficiently. Engaged in intensive studies to deepen understanding of Machine Learning, with a specific focus on Deep Learning through the completion of Stanford's CS231n Course. Achieved Google Certification as a Data Engineer, demonstrating proficiency in designing, building, and operationalizing data processing systems.

Data Science Intern
6/2/2016 - Present

Participated in diverse projects encompassing all stages of Machine Learning applications. Gained experience in database search and treatment using sources like IBGE, Google API, and custom crawler development. Developed proficiency in creating charts and dashboards utilizing tools such as Shiny and d3.js. Involved in statistical modeling projects, including revenue prediction, text mining, customer segmentation, and email marketing.

Credit Analysis Internship
6/2/2015 - 5/2/2016

Developed proficiency in creating monthly reports highlighting key company indicators. Engaged in the development and implementation of predictive models focusing on credit analysis and fraud prevention. Acquired a deep understanding of data analytics and reporting while enhancing skills in predictive modeling and risk assessment techniques.

Applied and Computational Mathematics at Institute of Mathematics and Statistics - University of São Paulo
2014 - 2017

Google Cloud Certified Professional - Data Engineer at Google
2/1/2018