Data Analytics Information Technology

Aaminah Halipoto

Richardson, TX • 469-***-****

*******.********@*****.*** • LinkedIn • GitHub portfolio

Recent MS graduate in Data Analytics, seeking a challenging role to grow within a company long-term, bringing initiative, sharp analytical skills, and a passion for turning data into actionable insights.

Education

MSDA - Master of Science in Data Analytics May 2025

Western Governor’s University

BSIT - Bachelor of Science in Information Technology & Systems Dec 2022

The University of Texas at Dallas

Technical Proficiencies

Software/Tools:

Tableau, PowerBI, Microsoft Office, Azure Databricks, AWS, Git, Jupyter

Database/Web Development:

PostgreSQL, Microsoft SQL Server, Athena, Oracle, RESTAPIs

Languages:

Python, R, SQL, Java

Packages:

Core Competencies:

scikit-learn, Pandas, Keras, TensorFlow, statsmodels and R equivalents

Machine Learning, Statistical Modeling, Cloud Platforms, Data Visualization

Academic Projects

Time series forecast on revenue (GitHub link)

Forecasting revenue by identifying seasonality, trends, and stationarity. Modeled in Python via ARIMA analysis with an RMSE of 2.16.

Multiple logistic regression to predict customer churn (GitHub link)

Building multiple logistic regression models in Python with statsmodels to assess factors influencing the probability of customer churn. Used primary component analysis and variance inflation factoring to determine variables of interest. Reduced model after iteration has accuracy of ~90%.

Sentiment analysis on user reviews (GitHub link)

Training recurrent neural network to distinguish user review sentiment in Python via tensorflow, keras.

Decision tree analysis to predict customer bandwidth usage (GitHub link)

Building regression tree in Python via scikit-learn. Adjusting nodes and depth across iterated models. Split data into test/training sets for evaluation. Using confusion matrix and MSE, measured accuracy of 96.8%.

Certifications

Azure Databricks Fundamentals

Databricks Certified Data Analyst Associate (in progress)

Experience Highlights

La Casita Bakeshop, Richardson, TX Oct 2023 – Aug 2024

Wholesale Fulfillment Specialist

●Implemented data transformation initiatives to improve inventory turnover, analyzing patterns to reduce supply costs by 15% weekly while adapting to fast-paced operational demands.

●Organized priority products by analyzing assembly line bottlenecks, ensuring efficient order fulfillment through the busy season. Led to responsibility for all of backend wholesale production within the first month.

●Introduced procedural improvements to order processing in Excel and QuickBooks. Reduced discrepancies by 35% and strengthened our largest client relationships.

●Collaborated cross-functionally with multiple teams to streamline production workflows, increasing margins of error by 10% to accommodate volatile client demands.

SwatCloud – Schannel, San Ramon, CA Aug 2022 – Aug 2023

Intern Developer; Project Manager

Applied expertise in programming and cloud-technologies to build a Flask-based app with integrated backend and frontend, focused on secure PII storage and automated communication.

●Created 4 Tableau presentations to report project findings and progress, while acting as sole interpreter between CEO and technical business team.

●Leveraged Python and RESTapis to retrieve confidential stakeholder information and successfully automate mass-communication initiatives.

●Screened team contributions, ensuring accurate implementation with an emphasis on user stories.

Premier Wellness Clinics, Little Elm, TX Dec 2020 – Dec 2021

Technical Administrator; Backend Analyst

Liaised daily between physicians, nurses, finance, and various external stakeholders to manage schedules, secure multifactor authentication, troubleshoot EMR issues, and resolve patient inquiries.

●ETL processing federal datasets using Excel's Analysis Toolpak and ad hoc queries in local SQL server to extract granular levels of patient data.

●Accurately cross-referenced over 500 misfiled insurance claims to mitigate possible fraud, decreasing costs by over $42k.

●Effectively navigated emerging COVID-19 protocols while managing large-scale PII data within compliance standards, showcasing ability to thrive in dynamic environments.

●Overhauled outdated clinic documentation and notation standards to prevent HIPAA breaches. Responsible for critical training of medical staff in upholding patient confidentiality related to EMR.

Related Coursework

MS Data Analytics

Data Cleaning, Predictive Modeling, Data Mining I&II, Representation and Reporting, Advanced Data Acquisition, Advanced Data Analytics

BS Information Technology

AWS Cloud Computing, Advanced SQL Querying, Systems Analysis and Design, Quantitative Business Analysis

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