Summary
Overview
Work History
Education
Skills
Accomplishments
Degree
Availability
Suma Cum laude
Languages
Software
Interests
Timeline
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Amanuel Gebremariam

Amanuel Gebremariam

Dallas,TX

Summary

Data Scientist with 2+ years of experience in machine learning, statistical modeling, and data analysis, combined with a strong background in medical laboratory science. Skilled in transforming complex healthcare data into actionable insights to improve diagnostics, operational efficiency, and patient outcomes. Proficient in Python, R, SQL, and predictive modeling, with hands-on experience in clinical data, lab analytics, and bioinformatics.

I am excited to apply for the Data Scientist position at your company. With 2+ years of experience in machine learning, data analysis, and predictive modeling, combined with a background in medical laboratory science. It my pleasure if I am hired that: I will bring a unique perspective to solving complex problems at any level of job offer. My expertise in Python, SQL, AWS SageMaker, and statistical modeling-paired with hands-on experience in clinical data and lab analytics-positions will allow me to deliver impactful data-driven solutions for your team. My expressed credentials and related background as a data scientist might present me as a qualified candidate for the position you are offering. I would love to hear a response as per the above stated qualifications quickly. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in data analysis. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in mathematics .

Overview

1
1
year of professional experience

Work History

Data Scientist

Dallas Regional Medical Center
08.2024 - 05.2025
  • Develop and deploy machine learning models
  • Built end-to-end data pipelines for data collection, preprocessing, feature engineering, and model validation.
  • Collaborated with cross-functional teams to identify data-driven opportunities for product and process improvements.
  • Conducted exploratory data analysis (EDA) and created data visualization formats.
  • Deployed machine learning models using AWS SageMaker and monitored performance metrics.
  • Used SQL to extract, clean, and manipulate large datasets for analysis
  • Designed interactive dashboards in Tableau to present key metrics for strategic planning
  • Developed time-series forecasting models for sales predictions, improving inventory management efficiency.

Data Science Intern

Dallas Regional Medical Center
01.2024 - 08.2024
  • Translated cost and benefits of machine learning technology.
  • Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Developedloped tactics during programming phases.

  • Helped develop database solutions using multiple SQL languages.
  • Created data mining architectures and models to identify trends in large data sets.
  • Assisted with creating and updating training materials for company use.
  • Analyzed large datasets to identify trends and patterns in customer behaviors.

Education

BS - MLS, (ASCP-CM)

UTHCSA
San Antonio, TX
05-2021

MS - Data Science

University of Houston-Victoria
Victoria, TX
05-2025

Skills

  • Proficient in Python
  • Pandas data analysis
  • Proficient in NumPy
  • Experienced with Scikit-learn
  • Proficient in TensorFlow
  • Experienced in model development using PyTorch
  • Data analysis
  • Database querying
  • Statistical regression analysis
  • Data classification
  • Data clustering
  • NLP expertise
  • Advanced deep learning
  • Skilled in utilizing Jupyter notebooks
  • Tableau data visualization
  • Power BI data visualization
  • Git repository management
  • Proficient in Docker
  • AWS platform experience
  • Proficient in GCP services
  • Sakila database management
  • EHR system proficiency
  • Electronic medical records management
  • Clinical data systems expertise
  • Information retrieval systems
  • Proficient in HL7 integration
  • Proficient in DICOM protocols
  • Data-driven hypothesis evaluation
  • Experimental design expertise
  • Probabilistic reasoning with Bayesian approaches
  • Clinical diagnostics proficiency
  • Genomic data interpretation
  • Biomarker assessment

Accomplishments

  • Achieved predictive accuracy by 25% through effectively reducing deployment by 30%.
  • Collaborated with cross- functional teams to identify data-driven opportunities for product and process improvement.
  • Used Microsoft Excel to develop inventory tracking spreadsheets.
  • Built a robust pipeline that deploys machine learning tools and metrics to detect churners.
  • Created interactive Tableau dashboards that improved strategic planning by 30% though visualization key metrics.
  • Collaborated with team of four people in the development of analytics for customer churn in subscription based businesses.
  • Resolved product issue through consumer testing.
  • Achieved 25% improvement by introducing machine learning model in AWS Sage Maker for metric performance tasks.

Degree

M.S. Applied Data Science

Availability

Open to relocation or remote work

Suma Cum laude

3.5 GPA 

Languages

English
Full Professional

Software

Python

Jypter

Tensor flow

Power BI

Tableau

Interests

  • Coding and Programming
  • Artificial Intelligence (AI) and Machine Learning
  • Augmented Reality (AR) Development
  • Virtual Reality

Timeline

Data Scientist

Dallas Regional Medical Center
08.2024 - 05.2025

Data Science Intern

Dallas Regional Medical Center
01.2024 - 08.2024

BS - MLS, (ASCP-CM)

UTHCSA

MS - Data Science

University of Houston-Victoria
Amanuel Gebremariam
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