Farhana Luna

Data Science Analyst II - Itemize Corp.

(2024-01 - 2025-01)

Data wrangling, data engineering, data analysis, modeling, and visualization of business, revenue, HR and audit data along with forecasting and interactive reporting (KPI Dashboards) using tools such as R, MySQL, Looker Studio, Tableau, and Python.
Collected and integrated data from websites, AWS services, and SQL Server; built ETL pipelines using AWS Glue, Redshift, and S3 for scalable data extraction, transformation, and loading.
Applying machine learning (ML) and artificial intelligence (AI) models to train raw data.
Managing data projects/tasks efficiently using JIRA.

Data (Science) Analyst - Legal Aid of Nebraska

(2019-01 - 2023-01)

Performed legal-service data wrangling, analysis, modeling, visualization, and real-time reporting using R, SQL, and Tableau; implemented data-mapping processes to improve data-integration efficiency, including work with LSC data for data warehousing.
Collaborated with other teams to gather and analyze reporting requirements, resulting in the successful implementation of a company-wide Business Intelligence (BI) framework. This included creating a Justice database using SQL and developing KPI dashboards in Tableau and crystal reporting.
Analyzed client survey data using various models, including the Logistic regression model in R, to generate informative reports that aided decision-making and drove improvements in legal services.
Initiated and facilitated meetings and workshops to ensure all stakeholders were aligned and informed. This led to improved project timelines and outcomes, such as generating predictive models for the Client and Case databases, considering various factors, and creating quarterly and annual reports for various stakeholders, including CHI, MHS, Save the Children and others.
Generated the Annual Grantee Activity and Self-Inspection report for LSC.
Worked on Survey Monkey and client -case data processing, analysis, modeling and data reporting and led end-user training sessions on data storytelling and interpretation of product insights.

Quality Analytics Lead - Nebraska Methodist Health System

(2017-01 - 2018-01)

Conducted Healthcare data Analysis, Data Wrangling, Modeling, Forecasting and Data Visualization using R and Tableau.
Worked with MSSP (Medicare Shared Saving Program) datasets for readmission and claim estimation of Hospital, SN (skilled nurse facility), HH (Home Health), Hospice care , HR and MSPB (Medicare Spending Per Beneficiary) data to identify opportunities for cost reduction.
Analyzed and created interactive visualizations of hospital inpatient quality datasets related to 30-days unplanned readmissions for conditions such as AMI, COPD, HF, Pneumonia, Stroke, CABG, THA/TKA, including trends, causes of readmission, mortality trends, and prediction and forecasting using machine learning and statistical models. Applied ICD-9 and ICD-10 codes using R packages.
Had experience accessing data from different sources, demonstrated leadership and teamwork, and managed projects effectively.

Graduate Research Assistant - University of Nebraska at Omaha

(2015-01 - 2017-01)

Conducted exploratory data engineering and analysis, and developed an interactive dashboard using SQL, R, and Shiny to visualize Latino political participation in Nebraska.
Analyzed and Visualized 2016 US Election data and Super market energy consumption data in different climate zone across USA in R and Power BI.
Conducted Exploratory analysis of Culinary data over American History using R and Tableau.
Analyzed fetal EKG data to detect heart problems of fetus using SQL, R and Power BI.
Had working experience of Kaggle big data mining and data modeling using machine learning and statistical models.

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