ADELINA DANA HILOTII
Elkridge, MD *******.*******@*****.*** 443-***-**** linkedin.com/in/adelina-hilotii TECHNICAL SKILLS
Programming & Analysis:
R, Python, SQL, SAS, Spark, Hadoop, Oracle, Git/GitHub, APIs, ETL Pipelines, Data Wrangling, Data Cleaning, Feature Engineering
Statistical & ML Methods:
Random Forest, K-Means Clustering, Mediation Analysis, Ordinal Regression, Logistic Regression, Linear Regression, Time Series Analysis, Principal Component Analysis (PCA), Hypothesis Testing, Predictive Modeling,
Visualization:
Power BI, Tableau, Google Data Studio, Matplotlib, Seaborn, ggplot2, Dashboard Development Platforms & Tools:
Google BigQuery, Qualtrics, SnapGene, Microsoft Office, Microsoft Excel, Microsoft Access, Google Sheets, Data Management Tools, Jupyter Notebook, RStudio, VS Code Lab Automation & Biotech Analytics:
Hamilton Star, KingFisher, Janus, CheMagic 360, Qubit, Lunatic, DNA Extraction
(Automatic & Manual), QIAamp, Gentra, Sample Tracking Systems (LIMS), Genomics, Experimental Design, Quality Control, Validation, Process Optimization, Root Cause Analysis, SOP Development, Lab Informatics n
EXPERIENCE
Lab Technologist, DNA Extraction, GeneDx, Gaithersburg, MD Dec. 2023-Present
• Operate and maintain a variety of laboratory instruments, including Hamilton Star/Starlet, KingFisher, Janus, and CheMagic 360, for the extraction of DNA from blood, OCBs, and DBS. Perform manual extractions for POCs, solid tissues, and amniotic fluids using QIAamp and Gentra protocols.
• Manage the end-to-end specimen lifecycle, from receipt to extraction, quantification via Lunatic and Qubit, normalization, and PCR preparation, with minimal supervision.
• Exceed target workloads in a fast-paced environment, extracting over 950 samples daily, and cycling out nearly 3,000 archived DNA samples daily to maintain storage capacity and meet workflow demands.
• Train and mentor new employees on extraction protocols, equipment maintenance, and safety procedures, ensuring adherence to SOPs and quality control standards.
• Identify and troubleshoot problems, take authorized corrective actions, and notify appropriate team members. Perform routine and preventive maintenance on laboratory instruments to reduce errors.
Founder, Full Moon Balloon, Columbia, MD Jul. 2022-Present
• Manage all aspects of business operations, including client consultation, budget management, inventory purchasing, marketing strategies, and day-to-day logistics, including scheduling, setup, and breakdown.
• Develop and maintain profitable relationships with event designers, vendors, and suppliers, effectively negotiating favorable terms.
• Conceptualize and execute end-to-end event design and balloon installations for events such as birthdays, showers, and corporate events, leading to repeat business and referrals.
• Implement a streamlined booking and management system for faster quoting, to simplify contract and invoice handling, reduce back-and-forth messages, and enhance the client experience.
Restaurant Manager, Boston Market, Columbia, MD Sep. 2018- Apr. 2021
• Directed daily front-of-house and back-of-house operations, improving workflow efficiency and overall service quality.
• Achieved financial objectives by analyzing sales data and implementing effective cost control measures such as labor scheduling adjustments and portion control, reducing overall food and labor costs.
• Cultivated a positive work environment through effective communication, setting clear expectations, training, and optimizing scheduling.
• Resolved customer complaints promptly and professionally, enhancing the overall dining experience and improving return guest relationships. EDUCATION
Loyola University of Maryland, Baltimore, MD Sep. 2025 Master of Science, Data Science
Relevant Coursework: Machine Learning, Predictive Analytics, Statistical Modeling, Statistical Computing, Bus Intelligence & Data Mining, Linear Statistical Models, Multivariate Analysis University of Maryland, College Park, MD May 2023
Bachelor of Science, Biological Sciences
Bachelor of Science, Psychology
PROJECTS
Capstone Project: Understanding Chronic Conditions, Healthcare Access, and Mental Health Through Data Science, Loyola University Maryland Apr. 2025
• Analyzed 2023 BRFSS survey data (N > 400,000 respondents) to model chronic disease risk and healthcare disparities across demographic and geographic groups.
• Built logistic regression and random forest models to predict hypertension, diabetes, and mental health outcomes.
• Conducted mediation analysis to examine the role of income, health insurance, and access to care on chronic disease prevalence.
• Applied K-means clustering to identify underserved populations based on income, obesity rates, insurance coverage, and healthcare utilization.
• Visualized key findings using R (ggplot2, effects package) to present model results, mediation pathways, and clustering profiles.