Noreen Alvarez

Noreen Alvarez Email and Phone Number

Data Analyst | Excel | Tableau | SQL | Python | Statistical Analysis @ Point32Health
Noreen Alvarez's Location
Springfield, Massachusetts Metropolitan Area, United States, United States
About Noreen Alvarez

I am a Data Analyst with an extensive clinical background of +10 years. Skilled with SQL, Tableau, PowerBI, advanced Excel, and Python. Experienced with conducting data analysis including data wrangling, data transformation, and visualization. I have used Data Visualization to highlight key insights to audiences of varying technical abilities.Having previously worked as a Physical Therapist I thrive in fast paced environments, have strong problem solving skills, and am adept at presenting complex concepts to audiences with varying levels of knowledge. Technical Skills:Languages: Python (Pandas, NumPy), SQLData Collections: JSON, CSVData Visualization: MatplotLib, Seaborn, Tableau, PowerBISystems: Windows 9X/NT/2000/XP/2K3/Windows 7, Mac OSDatabase Management: MySQL, MS SQL Server, PostgresAnalytical Tools: Advanced Excel (Pivot Tables, Goal Seek, Solver, Macros, VBAs, SumIF)Probability and Statistics: Data Wrangling, Statistical Modeling, Predictive Analytics, Linear Regression, CorrelationIf you would like to get in touch with me, please reach out, I love meeting new people!

Noreen Alvarez's Current Company Details
Point32Health

Point32Health

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Data Analyst | Excel | Tableau | SQL | Python | Statistical Analysis
Noreen Alvarez Work Experience Details
  • Point32Health
    Data Analyst
    Point32Health Aug 2023 - Present
    Canton, Ma, Us
  • Springboard
    Data Analytics Fellow
    Springboard Jan 2023 - May 2023
    San Francisco, California, Us
    • Mastered skills in analyzing business problems by utilizing SQL, Python to clean and analyze data and Tableau to create visualizations.• Constructed KPIs and dashboards to identify trends and patterns. • Constructed complex SQL queries to extract actionable insights from relational databases.• Utilized Python libraries such as pandas, numpy, matplotlib, and scikit-learn for data analysis and predictive modeling.
  • Springboard
    Expanding Bluebikes District Coverage
    Springboard Apr 2023 - Apr 2023
    San Francisco, California, Us
    • Cleaned data with Python programming to reduce memory usage by greater than 26% for improved performance in Jupyter Notebook.• Analyzed data, making use of Matplotlib and Seaborn for data visualization to reveal insights of current ridership.• Implemented inferential statistics including correlation and linear regression analysis to determine district demographic variables predicting higher ridership within a district with a P value < 0.05 showing statistical significance.• Programmatically selected districts meeting the key variables to select districts where ridership and revenue will be higher.• Extrapolated to predict ridership in the new district with a 95% confidence interval predicting the number of riders based on the linear regression.
  • Springboard
    Predicting In-Hospital Mortality Among Icu Patients With Heart Failure
    Springboard Mar 2023 - Mar 2023
    San Francisco, California, Us
    • Utilized Excel to transform data sets to account for missing values.• Ran advanced formulas and queries in spreadsheets on large dataset in order to identify patterns, trends and insights that were relevant to identifying key variables.• Designed and created data visualizations in Tableau, and shared data driven findings in a presentation deck. • Analysis identified 4 key variables associated with predicting mortality based on correlation analysis.
  • Cooley Dickinson Hospital
    Physical Therapist
    Cooley Dickinson Hospital Sep 2019 - Oct 2022
    Northampton, Massachusetts, Us
    • Physical Therapist level II, EPIC superuser, and clinical chart auditor. • Trained and provided ongoing support to clinicians for use of EPIC EMR software.• Reviewed medical record data entered by rehab clinicians to maintain quality documentation.• Researched current best evidence based practice guidelines. Assessed practical use of guidelines and utilized guidelines where appropriate in treatment. • Presented plan of care to patients with use of non-technical language. • Quickly adapted to use of telehealth treatment of patients. Trained clinicians in use of Zoom and correct documentation for telehealth treatments. • Supervised physical therapy assistants and rehab aids, reliable contact for communicating with building management.
  • Med Travelers
    Travel Physical Therapist
    Med Travelers Jun 2016 - Aug 2019
    Dallas, Texas, Us
    • Quickly adapted to new environments at contract positions lasting 3-6 months, in a total of 8 locations over 4 years.• Excelled at learning electronic medical record software specific to each location with on-the-job training. • Quickly understood local insurance agency coverage and process for requests for service• Trained incoming travel and permanent Physical Therapists in current patient caseload, electronic medical records, and clinic processes.
  • Choice Physical Therapy Vermont
    Physical Therapist
    Choice Physical Therapy Vermont Aug 2014 - Jun 2016
    • Organized 5k run to benefit the Washington County Youth Services Bureau• Treated patients with various musculoskeletal injuries to complex neurological conditions to improve quality of life and facilitate a return to prior level of function.

Noreen Alvarez Education Details

  • Springboard
    Springboard
    Data Analytics
  • University Of Vermont
    University Of Vermont
    Doctorate Of Physical Therapy
  • University Of Vermont
    University Of Vermont
    Exercise And Movement Science

Frequently Asked Questions about Noreen Alvarez

What company does Noreen Alvarez work for?

Noreen Alvarez works for Point32health

What is Noreen Alvarez's role at the current company?

Noreen Alvarez's current role is Data Analyst | Excel | Tableau | SQL | Python | Statistical Analysis.

What schools did Noreen Alvarez attend?

Noreen Alvarez attended Springboard, University Of Vermont, University Of Vermont.

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