Dahlia Shvets

Dahlia Shvets Email and Phone Number

Data Science and Analytics @ BTG Pharmaceuticals
Philadelphia, PA, US
Dahlia Shvets's Location
Philadelphia, Pennsylvania, United States, United States
Dahlia Shvets's Contact Details

Dahlia Shvets personal email

n/a
About Dahlia Shvets

I have a strong technical background rooted in Bioinformatics graduate training, statistical analysis, real world evidence, and programming (Python, R, Java, SQL). I have spent the last 7 years solving high-impact problems in the healthcare analytics and strategy space, translating analytical outcomes into business and research solutions.Working at the intersection of clinical care and technology, collaborating with both clinicians and senior business leadership, has put me in a unique position where I not only understand the importance of quality data, but of effective data literacy and communication.Languages: Python (Jupyter Notebooks), R (Markdown), Java, SQL, SASData Science: Python (tensorflow, scikit-learn, numpy, pandas), R (ggplot2, dplyr, tidyr, Shiny)Cloud: Snowflake, Azure, Databricks

Dahlia Shvets's Current Company Details
BTG Pharmaceuticals

Btg Pharmaceuticals

View
Data Science and Analytics
Philadelphia, PA, US
Website:
serb.com
Employees:
439
Dahlia Shvets Work Experience Details
  • Btg Pharmaceuticals
    Btg Pharmaceuticals
    Philadelphia, Pa, Us
  • Btg Pharmaceuticals
    Associate Director, Business Insights And Analytics
    Btg Pharmaceuticals Jul 2023 - Present
    Conshohocken, Pa , Us
  • Scripps Health
    Data Scientist - Strategy And Planning
    Scripps Health Jul 2020 - Jul 2023
    San Diego, California, Us
    I lead real world data projects, advise on statistical methodology, and inform executive decision-making. Support strategy leaders in a consulting role, synthesizing large-scale data to guide investment decisions and optimize business operations. I conduct statistical analyses to evaluate hospital initiatives and programs (hypothesis testing, chi-square, logistic regression, observational studies - case/control, cohort) and implement machine learning models (image classification, natural language processing).I am EPIC (Caboodle) trained, proficient across several programming languages (Python, R, SQL), utilizing various visualization and machine learning libraries (ggplot2, nltk, numpy, Scikit-learn).Working in Snowflake, I leverage large amounts of claims (MedInsight), clinical EMR (EPIC), financial and bench-marking data to drive business impact and answer research questions. Using SQL, I clean, merge and stage Snowflake datasets which I then connect to Power BI dashboards for visualization. I was a member of the first Analytics Stewardship Team at Scripps, where I lead the creation of a standardized project development life cycle, and documents highlighting the importance of project scoping, need finding and documentation for technical projects.
  • Scripps Health
    Data Scientist - Population Health
    Scripps Health Jun 2019 - Jun 2020
    San Diego, California, Us
    With my colleague, I was selected to share our work on “Scalable Population Health Analytics” at the 2021 Healthcare Analytics Summit conference (Sept 2021).Discovered large savings opportunities for the Accountable Care Organization (ACO). Evaluated and quantified impact of clinical initiatives and programs in areas such as Home Health, Imaging and Procedures, and Physical Therapy.
  • Atrium Health
    Health Services Researcher Intermediate
    Atrium Health Oct 2018 - May 2019
    Charlotte, North Carolina, Us
  • Atrium Health
    Health Services Researcher Associate
    Atrium Health Mar 2017 - Oct 2018
    Charlotte, North Carolina, Us
    I provided statistical support, visualizations, and reporting for various pediatric specialties including modeling NICU length of stay, sepsis outcome evaluation, chronic care patient identification and tracking, executive goal setting, and evaluation of hospital initiatives.I provided analytics and insights for areas of improvement within Pediatrics for US News and World Report. I led the production deployment of several automated monthly solutions to summarize and analyze data. As part of the Clinical Analytics team supporting Pediatrics, I built solutions with Python, R, SQL, SAS, Aginity, Power BI. I have experience working with EPIC, IDX, Cerner data sources and Business Objects.
  • National Science Foundation
    Nsf-Eapsi Research Fellow
    National Science Foundation Jun 2016 - Aug 2016
    Alexandria, Va, Us
    -Advised by Dr. Wen-Lian Hsu at Academia Sinica.-Wrote proposal and received NSF grant to study a novel statistical pattern based approach for biomedical text mining. -Conducted biomedical text mining project with goal of extracting disease-microRNA relationships from published literature. -Utilized Stanford Core NLP, Python NLTK, and D3 for text analysis and network visualization construction.
  • Unc Charlotte
    Graduate Life Fellow
    Unc Charlotte Aug 2015 - Apr 2016
    Charlotte, Nc, Us
    -The Graduate School appoints seven graduate students to serve as Graduate Life Fellows. The Fellows collaborate with faculty, campus groups, and the Charlotte area to foster graduate community.-Duties included writing funding proposals, and collaborating with local Charlotte vendors to host graduate student events.-Funded projects include: Health & Wellness fair, Painting with a Twist, "Our Shared Shelf" Book Club, and Gender Bias in Academia panel.
  • National Institutes Of Health
    Research Intern
    National Institutes Of Health Jun 2015 - Aug 2015
    Bethesda, Md, Us
    -Advised by Dr. Nancy F. Hansen and Dr. James Mullikin. -Investigated clonal hematopoiesis in whole-exome sequencing data of the ClinSeq(NIH clinical study) cohort. -Performed low frequency variant calling, gene annotation and statistical analysis to find putative driver genes of clonal hematopoiesis. -Wrote reusable code using Python and R; performed large-scale computing jobs on cluster. -Presented poster at NIH and NHGRI poster sessions.
  • Unc Charlotte
    Graduate Research Assistant
    Unc Charlotte Jul 2014 - May 2015
    Charlotte, Nc, Us
    - Advised by Dr. Daniel Janies. I Worked as research assistant with software development team to design and create features and visualizations of a pathogen disease software built with Java (Spring MVC), Javascript, jQuery and mongoDB. Provided biological expertise and insights for designing useful and biologically relevant software features.-Advised by Dr. Xinghua Shi, the laboratory focus is to use large scale datasets and computational models to better understand disease. -I created a web-based tool that allows for easier and faster analysis of methylation Cancer Genome Atlas (TCGA) data using Python, R, HTML and Javascript.
  • Coveris
    Quality Assurance Technician
    Coveris Feb 2013 - Mar 2014
    Le Haillan, Fr
    -Company focus: To continue to be a global specialist in the development, manufacturing and distribution of precision-coated papers, films and specialty substrates for imaging, electronics, medical and optical technologies. -Developed novel solutions to problems and tested methodologies by working with quality and process engineers. -Collected data from X-Rite Densitometer, Instron, Voltmeter, Gas Chromatography, Haze-meter, performed microscopy and organized data in company database.-Analyzed the chemical structure and content of samples with use of gas chromatography. -Adhered strictly to all SOPs, GMPs, QCTMs, and specifications of the Quality Laboratory. Followed all OSHA guidelines and regulations.
  • Purdue University
    Research Assistant
    Purdue University May 2010 - May 2011
    West Lafayette, In, Us
    -Received funding through the Summer Undergraduate Research Fellowship at Purdue University. -Advised by Dr. Angus Murphy and Dr. Wendy Peer.-Furthered project towards goal of obtaining crystal structure and uncovering aminopeptidase activity of the APM1 protein in Arabidopsis Thaliana.-Developed DNA construct vectors using PCR, gel electrophoresis, and enzyme digestion.-Performed bacterial transformation, colony growth on agar plates, and inoculation to prepare DNA for infection of insect cells.-Conducted plant crosses, seed collecting and planting in greenhouse to support biochemical studies.-Analyzed protein samples by Western blot gel electrophoresis.

Dahlia Shvets Skills

Data Analysis Python R Genomics Statistics Perl Bioinformatics Quality Assurance Gel Electrophoresis Hplc Pcr Western Blotting Sds Page Chromatography Bacterial Transformation Aseptic Technique Biochemistry Microsoft Office 5s International Organization For Standardization Research Microsoft Excel

Dahlia Shvets Education Details

  • University Of North Carolina At Charlotte
    University Of North Carolina At Charlotte
    Bioinformatics
  • Purdue University
    Purdue University
    Biochemistry

Frequently Asked Questions about Dahlia Shvets

What company does Dahlia Shvets work for?

Dahlia Shvets works for Btg Pharmaceuticals

What is Dahlia Shvets's role at the current company?

Dahlia Shvets's current role is Data Science and Analytics.

What is Dahlia Shvets's email address?

Dahlia Shvets's email address is da****@****lth.org

What schools did Dahlia Shvets attend?

Dahlia Shvets attended University Of North Carolina At Charlotte, Purdue University.

What are some of Dahlia Shvets's interests?

Dahlia Shvets has interest in Children, Disaster And Humanitarian Relief.

What skills is Dahlia Shvets known for?

Dahlia Shvets has skills like Data Analysis, Python, R, Genomics, Statistics, Perl, Bioinformatics, Quality Assurance, Gel Electrophoresis, Hplc, Pcr, Western Blotting.

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