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Adam Covic

B.S. Data Analytics Candidate (May 2026)
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Nashville, TN · adamcovic1973@gmail.com

Data Analytics student focused on workflow automation, dashboard development, and practical business problem solving. Experienced in healthcare reporting, process improvement, and applied analytics projects using tools like Python, SQL, PowerBI, and PowerApps.

Experience

Financial Analyst Intern

HCA Healthcare (Parallon) · Nashville, TN

  • Recovered 15+ hours per week of team capacity by automating Outlook reporting prep with VBA macros, redirecting effort toward validation and analysis.
  • Migrated 50+ recurring reports to SAP BusinessObjects, establishing a single reporting source that reduced reconciliation issues and aligned outputs across finance teams.
  • Delivered an end-to-end intake workflow in Power Apps and Power Automate (7 integrated flows) with Microsoft Forms and SharePoint—automating routing, audit logs, and stakeholder notifications.
  • Audited 10,000+ report records in Excel; quantified discrepancies that drove corrective action and improved reliability for leadership-facing metrics.
  • Presented insights to leadership that informed cross-team workflow changes and strengthened governance over financial reporting.
June 2025 – Present

Projects

Technical & Applied Projects

Used Car Price Prediction (TensorFlow & LightGBM)

Python, TensorFlow, LightGBM, pandas, SHAP

Fall 2025
  • Built machine learning models in TensorFlow and LightGBM to predict used car prices using 427K+ records, improving valuation accuracy over baseline MAE/RMSE benchmarks.
  • Engineered robust features, handled outliers, and designed time-aware data splits to ensure model fairness and reproducibility.
  • Conducted hyperparameter tuning and diagnostics (residuals, SHAP) to optimize performance and interpret key price drivers such as vehicle age and condition.
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Retail Customer Analytics & Predictive Modeling

Python, SQL, TensorFlow, scikit-learn

Fall 2025
  • Analyzed transactional and demographic data using Python, SQL, and TensorFlow to uncover customer trends and predict retention, churn, and coupon response likelihood.
  • Built and evaluated logistic regression and neural network models using F1, ROC-AUC, and accuracy to optimize customer segmentation and targeting.
  • Delivered actionable insights that guided promotional and retention strategies, improving data driven marketing and sales decision making.
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Self-Study Independent Projects

Healthcare Analytics Dashboard (Power BI)

MySQL, Python, Power BI, ETL

Fall 2025
  • Designed a healthcare database in MySQL with fact and dimension tables for encounters, patients, providers, and facilities, enabling accurate facility level performance analysis.
  • Automated ETL workflows using Python to ingest and transform data for Power BI, ensuring reliable and consistent financial and operational reporting.
  • Built interactive dashboards with different visualizations (KPIs, trends, payer mix) to present insights in a user friendly format.

Customer Order Management System (Power Apps)

Power Apps, SharePoint

Fall 2025
  • Built a multi-screen Microsoft Power Apps application integrated with SharePoint lists to centralize customer, order, and product data management.
  • Implemented relational design, validation logic, and soft-delete workflows, eliminating manual CSV edits and reducing data errors.
  • Designed an intuitive UI with conditional controls and confirmation dialogs, improving data integrity and user experience for internal operations.

Education

Lipscomb University

Bachelor of Science in Data Analytics

Nashville, TN

GPA: 3.71

Expected May 2026

Skills

Programming
SQL Python VBA HTML CSS JSON
Analytics & Tools
Power BI Tableau SAP BusinessObjects Power Automate Power Apps Excel
Languages
English Bosnian Spanish