Data Scientist
Itau Unibanco
مجموع سنوات الخبرة :6 years, 2 أشهر
• Orchestrated the development and implementation of predictive models for the financial market and investments, resulting in a substantial 5% increase in revenue.
• Utilized advanced text analysis (NLP), time series, and clustering algorithms to strategically address legal and market demands, optimizing decision-making processes and reducing process time by nearly 30%.
• Conducted high-impact studies, accurately predicting election poll results, and disseminated actionable insights through compelling data visualizations, influencing strategic business decisions across three different countries.
• Pioneered and led company-wide data and analytics training initiative, evolving it into the official platform, successfully upskilling over 15, 000 employees.
• Conceptualized and instructed an advanced online course as part of a postgraduate program in data science, focusing specifically on clustering methodologies.
• My responsibilities encompassed creating comprehensive course materials, structuring the curriculum meticulously, and delivering engaging lectures to ensure a highly enriching learning experience for students.
• Utilized Python Programming in conjunction with cutting-edge frameworks like Scikit-Learn and OpenCV to delve into various algorithms, including K-Means, K-Medoids, Hierarchical Clustering, DBSCAN and OPTICS.
• Engineered Python-based machine learning models to forecast demand and optimize product allocation, resulting in remarkable cost savings exceeding $4 million.
• Empowered the wealth management team by developing pricing models using machine learning and computer vision, leading to significant savings of $7 million on branch rentals.
• Mentored and coached three employees, guiding them through the process of becoming Data Scientists, while overseeing projects and workshops to foster data-driven decision-making across various business units.
• Proficiently applied SQL to prepare and analyze data for data models, providing vital support to credit and life insurance teams.
• Orchestrated the development and maintenance of variable collections for data science projects, ensuring seamless integration with core business strategies.
Graduation Project: 'Recommendation Systems: Concepts and Challenges.' Conducted a thorough review of the primary algorithms utilized in recommendation systems.
Graduation Project: adapted a children's literacy book into a digital format, focusing on accessibility concepts. Additionally, tailored the content to enhance knowledge absorption for children facing learning difficulties.