Tesfaye Jimma

Lecturer in Mathematics & Statistics | Expert in Data Analysis, Statistical Research, & Curriculum Development | AI Research Contributor | Expert in LLM Reasoning & Problem-Solving | Data Annotation Specialist

Role
Data Labeling Analyst Ii at Meta
Location
Houston, TX, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Tesfaye Jimma

With over a decade of academic and research experience at Hawassa University and Kotebe University, my career is deeply rooted in advancing the field of applied statistics and data science. Throughout my professional journey, I have remained committed to transforming raw data into meaningful insights that empower informed decision-making and drive impactful change across diverse sectors.My expertise spans a wide range of statistical methodologies, with a special focus on Bayesian statistics, which I utilize to uncover hidden patterns and improve the precision of data-driven conclusions. Coupled with proficiency in industry-standard statistical software such as R, SPSS, and Python, I have consistently delivered innovative solutions to complex research problems. These tools, combined with my passion for high-quality education, have enabled me to contribute substantially to academic research, fostering a culture of collaboration and excellence in data literacy and research methodology.My academic career is complemented by an unwavering dedication to the betterment of society, particularly through initiatives designed to improve the lives of children and communities. Inspired by the wisdom and joy shared across generations, I am motivated by the potential of data to drive social impact. This commitment is captured in the moments that define my work, like the one depicted in my profile image, symbolizing a personal and professional dedication to nurturing future generations.One of my key focus areas is the reduction of child mortality through data-driven research. I am deeply engaged in exploring innovative approaches to address this critical issue, ensuring that children have the opportunity to thrive, and communities have the resources they need to support them. By leveraging advanced statistical techniques and collaborating with interdisciplinary teams, I aim to develop actionable solutions that create lasting change.My professional journey is not just about analyzing numbers—it’s about using the power of data to tell stories, solve problems, and inspire progress. Whether it\'s through my teaching, research, or community engagement, I strive to uplift lives and pave the way for a brighter future.As I continue to grow in my career, I remain passionate about fostering knowledge, advancing statistical research, and applying data science for the greater good. I welcome opportunities to collaborate on projects that align with my mission to create meaningful change through the transformative power of data.

Experience

  1. Data Labeling Analyst Ii

    Meta

    Nov 2025 — Present · US

    Labeling / auditing a set amount of data daily, at the direction of Project Coordinators and Project Managers-Reviewing and validating labeled datasets for accuracy and consistency-Performing QA in our in-house annotation tooling-Flexing between projects as demand requires, adjusting to new project guidelines week-over week and learning multiple project guidelines at once-Comprehending complex guidelines and product requirements to accurately label ML data to refine AI models-Collaborating with team members to identify improvements to the labeling process to drive efficiency and promote high quality-Supporting training new DLAs who join a project through shadowing sessions (i.e, letting other DLAs shadow their work)-Operationalizing on Product feedback and bringing best data labeling practices downstream to peer DLAs in accordance with Product feedback and review-Supporting with any additional tasks to help with program excellence

Education

  • Hawassa University

    Master of Science - MSc, Applied Statistics

  • Addis Ababa University

    Bachelor of Applied Statistics - B.Sc, Applied Statistics

    2001 — 2005

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Tesfaye Jimma — Data Labeling Analyst Ii at Meta in Houston, TX, US | Unifers