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Girma Ayana

Aurora,CO

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Open to work

Desired Job Title

Contract Data Scientist Job Title: Data ScientistJob Title: Research Data ScientistJob Title: Intern, I Developer and Data AnalystJob Title: Graduate Assistant

Summary

Data scientist with proven expertise in developing end-to-end data pipelines and predictive models. Achieved a 40% increase in reporting efficiency through optimized BI solutions and delivered machine learning models with accuracy rates between 75% and 92%. Proficient in SQL, Python, R, Tableau, and Power BI, and Agntic ai enabling scalable analytics across various environments and descion making

Overview

years of professional experience

Work History

Job Title: Data Scientist

University of North Carolina

11.2022 - Current

Improved reporting efficiency by 40% using Power BI and Tableau with SQL, DAX, Power Query, and Python, delivering performance-optimized, secure BI and analytics solutions, including DAX-driven KPIs for executive decision-making, data and semantic modleing, row-level security (RLS), and automated refresh.
Supported and developed ETL workflows in Informatica IDMC, managing cloud-based data and application integrations and production operations.
Administered Informatica cloud jobs, including scheduling, monitoring, troubleshooting, and Oracle SQL validation.
Built and automated ETL pipelines for finance, healthcare, student, HR and research data using SQL Server (T-SQL), SSIS, and Informatica IICS, ensuring accurate, reliable enterprise data.
Developed R and Python analytics workflows for data wrangling, validation, statistical analysis, and reporting on large, complex datasets.
Developed end-to-end LLM pipelines for continued (domain-adaptive) pre-training and supervised fine-tuning (SFT) on pre-trained language models using Python, PyTorch, and Transformers.
Optimized SQL performance through indexing, schema design, and query tuning while enforcing data security and governance.
Integrated multi-source data using REST APIs, GraphQL, and AWS to support real-time and batch analytics.
Led cross-functional analytics projects, delivering scalable, well-documented solutions using Git, Scrum, and Jira.

Contract Data Scientist

MERCOR

01.2026 - 06.2026

Contributed to AI agent development, prompt engineering, and LLM training for enterprise initiatives through Mercor.
Enhanced AI workflows to optimize response quality and implement data-driven generative solutions.
Developed strategies for improving AI performance as a data scientist contractor.
Participated in evaluation projects to assess effectiveness of AI implementations.

Job Title: Research Data Scientist

2) Employer: CARGILL Inc

08.2019 - 01.2023

Delivered production machine learning solutions in Python and R, achieving 75–92% accuracy and reducing analytical cycle time by 30%.
Led 12+ research and analytics initiatives, applying experimental design, sampling, hypothesis testing, and statistical analysis to drive data-driven decisions.
Designed scalable analytics and BI data models, including star and snowflake schemas and OLAP cubes, to enable high-performance, actionable insights.
Built interactive Power BI and Tableau dashboards using Power Query (M), dimensional modeling, role-based security, drill-downs, and what-if analysis.
Supported quantitative/population genetics research, applying genetic algorithms and programming for trait modeling, marker-assisted selection, gene mapping and gene prediction.
Automated and integrated end-to-end data pipelines to support reliable, scalable analytics and reporting.
Established analytics governance and standards, implementing Git version control, documentation, and reusable models for enterprise adoption.

Job Title: Intern, I Developer and Data Analyst

4) Employer: Targeted Technology Institute

03.2017 - 04.2020

Developed SQL scripts, stored procedures, functions, and SSIS ETL packages to automate reporting and data workflows.
Built interactive Power BI dashboards with row-level security, scheduled refresh, and OLAP-based reporting to improve reporting efficiency.
Optimized SQL Server database performance through indexing, data modeling, and backend validation for sales and reporting systems.
Supported research and project teams with data collection, analysis, and reporting insights.

Job Title: Graduate Assistant

3) Employer: South Dakota State University

01.2016 - 08.2019

Applied machine learning and statistical models, including Random Forest, SVM, KNN, logistic regression, and time series analysis.
Built predictive models in Python and R, improving efficiency by 30% and reducing analytical costs by 20%.
Conducted literature reviews, supported research design and hypothesis testing, and translated findings into data-driven
Created dashboards and reports using R Shiny, Power BI, and Tableau to deliver data-driven insights.
recommendations.