
Tia Hannah
Big Data analyst
United States
Lighting Up Nations for a Brighter Future!
Areas of Practice:
- Data Analysis and Applied Data Science
- Development and Maintenance of Technological Solutions
- Management of Multidisciplinary Technological Projects
- Implementation of Machine Learning Models
- Data Visualization and Transparency
- Development of Fintech Applications and Scalable Platforms
- Digital Optimization and UX/UI Strategies
Professional Experience:
Tia Hannah is a distinguished Data Science student at Boston University, projected to graduate in May 2025. Recognized for her academic excellence by being included on the Dean’s List, she has completed key courses such as Programming for Data Science, Business Decision Modeling, and Linear Algebra, establishing a strong technical foundation in data analysis, modeling, and visualization.In her professional experience, she has specialized in implementing technological solutions that optimize operational efficiency and enhance user experience. Currently, she works as an Information and Technology Specialist at Boston University Metropolitan College, providing technical support to over 500 users while maintaining a satisfaction rate of 97%. Previously, as a Technology Consultant in the College of Engineering, she resolved complex issues for over 800 users, ensuring system stability and reliability.
In her new role at Living Stones Foundation, Tia leads socioeconomic data analysis initiatives to create detailed profiles of countries and cities. Her work includes analyzing key indicators such as income levels, employment rates, access to education and healthcare, crime rates, domestic violence, and migration. This approach allows for the identification of resources, key donors, and opportunities to establish partnerships with public and private sectors, promoting social and educational programs that foster equity in access to quality education and sustainable economic development.Highlighted initiatives in this role include the use of sports as a tool to prevent crime and addiction, promoting social skills to strengthen resilient communities, workshops on mental health, leadership, and life skills, family mentoring programs, and training for small business entrepreneurs. These actions are aimed at transforming data into practical solutions that enhance quality of life, optimize available resources, and promote inclusive and sustainable growth.Tia has led notable projects such as:
- Analysis of Police Overtime: Identified key trends to guide budgetary decisions through comprehensive analysis of historical data and interactive visualizations in Looker Studio.
- Image Segmentation Model: Improved accuracy by 15% through the development of a data pipeline with Yolov8, optimizing computer vision models.
- Development of Fintech Applications: Designed and presented a scalable platform to improve financial literacy, utilizing technologies such as Flask and MongoDB.
Technical Skills
- Languages: Python, Rust, SQL, R, JavaScript
- Tools and Frameworks: React, Next.js, Tableau, Power BI, Flask, Microsoft Azure
- Advanced Competencies: Data analysis, full-stack development, ETL pipelines, machine learning, and advanced visualization.
With a particular interest in fintech and digital process optimization, Tia combines her passion for continuous learning with outstanding analytical skills, positioning herself as a key talent for high-impact technological and social projects.
Education
- B.S. in Data Science / Boston University, United States (Expected May 2025)
Awards: Dean’s List
Relevant Coursework: Data Mechanics, Programming for Data Science, Statistics, Multivariable Calculus, Linear Algebra, Algorithms for Data Science, Modeling Business Decisions
Licenses and Certifications
- Google Advanced Data Analytics Professional Certificate
- Specialization in Machine Learning Applications / Coursera – Stanford University
- Advanced SQL for Data Scientists / DataCamp, Online
- Data Visualization and Storytelling / Harvard Online, United States
- Python for Everybody Specialization / University of Michigan, United States
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