Carlos Bloomer-Reeve Email & Phone Number

Mexico

- Pioneered sentiment analysis for a movie streaming service, preprocessing and vectorizing reviews using Bag of Words, TF-IDF, and word embedding models, developing a model to accurately identify customer sentiment in reviews.- Conducted comprehensive home credit risk analysis, manipulating and visualizing a dataset of 350,000+ transactions. Employed DecisionTree, XGBoost, and LightGBM models to predict repayment capability, achieving an ROC AUC over 0.72.- Analyzed revenue and delivery metrics for a major Latam E-commerce site (2016-2018), utilizing SQLite and SQL for data pipeline creation, and Matplotlib and Seaborn for visualization, deriving insights on revenue trends, product popularity, and delivery efficiency.- Implemented image classification for vehicle identification in e-commerce, cleaning and augmenting data, training a CNN model that achieved 82% accuracy, and deploying it as an API-based web service on AWS using Docker.- Developed an advanced Chatbot assistant for the insurance market, leveraging Chat-GPT LLM for nuanced query handling, and enabling insurance-related internet searches and summary generation, enhancing user engagement and service efficiency.

Mexico

- Spearheading the development of a new pricing model aimed at hedging risk for select demographics, utilizing Python for advanced data analysis and statistical modeling, and SQL for database management to enhance accuracy in risk mitigation.- Leading project management efforts for the construction of a Data Lakehouse, leveraging AWS technologies (S3, Glue, RedShift) to create a high-performance, secure, and efficient data infrastructure, significantly improving data storage, integration, and analytics capabilities.- Designing and deploying fraud detection models using machine learning algorithms in Python to identify and analyze patterns indicative of fraudulent activities. This includes comprehensive data preprocessing, feature engineering, and model deployment, contributing to a significant reduction in fraudulent claims and enhancing operational security.

Argentina

- Pioneered the use of machine learning models to analyze visual data, enhancing product recommendation accuracy by 40%.- Coordinated with engineering teams to integrate AI capabilities into existing platforms, resulting in a 20% increase in user engagement.- Authored and presented findings on data analytics trends at major industry conferences, establishing the company as a leader in AI innovation.- Mentored junior data scientists, improving team skill levels and productivity by fostering a collaborative learning environment.

Buenos Aires, Argentina

- Analyzed large datasets to identify trends in insurance claims, contributing to a 10% reduction in fraudulent claims.- Created data visualization dashboards that provided real-time insights into customer demographics, improving targeted marketing efforts.- Participated in the development of a risk assessment model that decreased insurance underwriting errors by 15%.- Contributed to cross-departmental teams to streamline data collection processes, enhancing data quality and completeness.

Ciudad Autónoma De Buenos Aires

Micro Master, Statistics And Data Science

Actuary, Economics, 6

Ingeniería Industrial, 6.8

Abandonada con 20 materias aprobadas.

Bachiller En Cs. Exactas Y Naturales.