Results-driven data analyst known for attention to detail and problem-solving skills. Experienced in transforming raw data into meaningful insights, leveraging SQL and advanced analytics to support business growth and strategic decision-making.
Overview
1
1
year of professional experience
Work History
Full Stack Data Analyst Project
Healthcare Revenue Analytics/Operation Diagnostic
Multispecialty Group Practice Clinic
03.2025 - Current
Solving Bottleneck issues Bringing raw data to life to showcase findings and drive decision-making that can create impact and resolution
Accomplishing an SQL advanced EDA that involved segmentation analysis and validated via analysis involving appointments scheduled out over 14 days, segment by dimension between the relationships of no shows against SMS reminder text, and lastly handicap patients between canceled appointments.
Running advance statistical analysis using A/B testing in python that includes p-values, alternative/null hypothesis, and Chi Square Test to evaluate the statistical significance test which includes a revenue loss contribution pie chart for the top outlier of cause for churn.
Datawarehouse Cleaning in SQL for messy data sets before starting the EDA
Providing Data Visualizations behind the findings and next steps using Tableau/Power BI.
End-to-End Sales/Sales Report Dashboard
Profitability Analysis
Wholesale Distribution , Beverage Distribution
02.2025 - Current
Transformed raw data into actionable insights through interactive dashboards in Excel and Power BI.
Organized and filtered sales data by region, units, and orders within a year to conduct ad-hoc analysis comparing Q1-Q4 sales, validating sales trends, and identifying areas for growth.
Analyzed profit margins per brand using AI Q&A Visual and key influencers, created map charts for regional sales, and utilized Matrix Visual for financial analysis, enabling stakeholders to adjust timelines.
Billing Analyst/Payroll Analyst
@ Global Elite Group
10.2025 - Current
Providing Accounts Receivable aging reports for stakeholders for future sale forecasting by comparing and contrasting past KPIs. Including income statements for payroll vs. billing increases and revenue decreases for year to date/fiscal. Additionally making sure stations are not under billed, so the total billing hours are more than payroll hours and verifying percentages (Billed Rate vs Payroll Rate).
Understanding GAAP Principles/Terminology with ERP systems such as flat rates, pushing back, credit memos, and credits applied based and working with independent port authorities.
Full Stack Data Science Engineer - Artificial Intelligence & Deep Learning at Nine SoftechFull Stack Data Science Engineer - Artificial Intelligence & Deep Learning at Nine Softech