1. Data Quality - Ensuring that all data collected and used across the agency meets the highest standards of accuracy, consistency, and reliability, enabling informed decision-making.2. Data Governance - Establishing and maintaining policies and procedures to manage data throughout its lifecycle, ensuring compliance with regulations and aligning data practices with organizational goals.3. Data Validation - Implementing and overseeing processes to verify the correctness and completeness of data, detecting and resolving any anomalies or inaccuracies before data is utilized.4. Data Management - Organizing, storing, and maintaining data efficiently, ensuring its availability, integrity, and security for all stakeholders within the agency.

Leveraged statistical and machine learning expertise to analyze large datasets for different project types and adapted to various client needs.1. Conducted in-depth exploratory data analysis (EDA) on various datasets, identifying trends, patterns, and potential research avenues.2. Employed machine learning algorithms to uncover hidden insights and develop predictive models within the various domains.3. Ensured data quality through cleaning, preprocessing, and feature engineering techniques.4. Effectively communicated findings through clear reports and visualizations tailored for non-technical audiences.Beyond these projects, and through online training programs, I have completed:1. SAS® Programming 1: Essentials. 21 hours of skill-building training and hands-on activities including the SAS programming process, creating frequency reports, creating summary statistics reports, exporting data, exporting reports, using SQL in SAS, etc.

A dynamic 6-month coding boot camp, totaling 600+ intensive hours, where I mastered the essentials of data structures, data types, and algorithms, along with the following tools and applications:1. Python (Pandas, NumPy, SciPy, Matplotlib), SQL, PostgreSQL/pgAdmin, Tableau, MongoDB, and ETL processes. 2. I gained proficiency in HTML, CSS, and Bootstrap framework for web development, along with JavaScript charting and Geomapping using Leaflet.js for data visualization. 3. Advanced areas such as R, Spark for big data processing, and TensorFlow and Keras for machine learning algorithms. 4. Excel became a powerful tool for VBA scripting, forecasting, and statistical modeling.5. APIs for seamless integration with external services.6. Introduction to computing platforms such as AWS and Databricks.

Investigated bone homeostasis mechanisms involving the gene KSR2, the obesity gene, and its role in trabecular bone volume and bone marrow adiposity.Key responsibilities:1. Performed animal surgery using biocompatible materials for bone regeneration.2. Utilized strategic planning to conduct 3 experiments concurrently, improving data processing speed by 25% for enhanced biomedical research outcomes.3. Utilized statistical methods to analyze large biomedical datasets, resulting in a 30% increase in data accuracy and identifying key areas for improvement in biomedical research. 4. Communicated and collaborated thoroughly with a team consisting of 6 members, resulting in a 30% increase in project efficiency within 3 months.5. Balanced working independently and collaboratively by using interpersonal engagement.

I led two projects which incorporate translational medical applications in bone tissue engineering. The first is a project using 3D-printed scaffolds, loaded with MSCs, and placed into swine calvaria, or mouse femur, critical-size-defects. Both models show the regeneration of high quality bone. This project also involves my participation in FDA regulatory processes as it leads to clinical trials. The second project involves using an Osteoporosis mouse model to investigate the mechanistic role of the transcription factor, RUNX2, to regulate bone development and bone homeostasis.Key responsibilities: 1. Mentored 6 colleagues, leading 2 bone tissue regeneration research projects, resulting in a 30% increase in lab efficiency and accelerated product development timelines within 6 months. 2. Led 4+ laboratory experiments simultaneously, prioritizing and using critical thinking to apply statistical methods.3. Led a 5-member team in discussion of technical information and problem-solving inquiries, resulting in the creation of 10+ page SOPs and Institutional Review Board protocols, improving operational efficiency by 30%.4. Led the development of analytical best practices resulting in a 20% increase in efficiency and accuracy of biomedical research, positively impacting business strategy.

As an engineering marketing strategist, I was responsible for marketing Lumis Automation engineering capabilities for new clients and their projects. I managed all online-presence platforms and I was responsible for STEM technical media content on multiple social media platforms that reached up to 4,000,000 people weekly. This position required me to perform tasks such as community engagement and outreach, guest recruitment for podcasts and videos, and creating technical content videos/posts. I worked directly with clients to promote their products and/or services on each platform.

Research assistant worked under Dr. Julia Grimwade and Dr. Alan Leonard, at the Microbial Genetics and Cell Biology Lab in the Dept. of Biomedical and Chemical Engineering, Biological Sciences. The research involved the initiation process of DNA synthesis of Escherichia coli (E. coli) bacterial cells. Protocols were implemented to understand the mechanism of DnaA, the initiator protein, and how it interacted with the chromosomal replication origin, oriC. The focus of this work is to identify new molecular targets for antibiotic drug development.Key responsibilities:1. Streamlined laboratory experiments, resulting in a 20% increase in experimental efficiency and accuracy, enabling impactful data-driven decisions within 3 months. 2. Boosted reproducibility of experiments by 40% through advanced troubleshooting, enhancing data reliability for decision-making within 6 months. 3. Utilized critical-thinking and collaboration to contribute to lab meetings with 15 people, driving discussions and problem-solving in the research team every week for 7 months.Bench techniques utilized: Gel Electrophoresis, Site-directed Mutagenesis (SDM), Plasmid Isolation, Overnight microbial cell culture, Chemically competent cell preparation, Transformation, Colony PCR, Fragment Purification, Recombineering using Electroporation, Dilutions and plating

I presented my systems-biology undergraduate research in the Northrop Grumman Senior Design Showcase in April 2019. My work, Optimal Control of Genetic Network with the Bistable Switch, involved the identification of parameters within a mathematical framework. The work can be applied to tissue engineering and synthetic biology.Key responsibilities: 1. Worked independently to integrate complex Python algorithms while developing and maintaining technical proficiency in mathematical documentation. 2. Used applied mathematics to solve the optimal control problem using Python programming.

While working at the Center for Medical Materials and Biophotonics, in the Dept. of Biomedical Engineering, I performed research under Michael Fenn, PhD in innovative drug delivery platforms that utilize nanomaterials. By employing the use of TEM, DLS, and nanoparticle size analysis, my work also involved developing protocols for nanomaterial synthesis and characterization methods.Key responsibilities: 1. Independently directed individual experiments on biocompatible nanomaterials, resulting in valuable findings for future pharmaceutical research and development. 2. Improved decision-making by analyzing data from diverse sources and conducting statistical analysis, leading to a 20% increase in data-driven insights.