👋 Hi, I'm Isabella Klunder

Data Analyst | Business Analyst | Healthcare Analyst

🧪 Data Analyst
💻 Excel, Power Bi, Tableau, SQL, Python, R
Reggae Enthusiast | Pickleball Player | Beach Lover 🌊
📍 Everett, WA USA

Technical Skills

  • Tableau

  • Power BI

  • Data Visualization

  • Project Management

  • SQL

  • Excel

  • Python

  • R

Projects

🍔 Data and Delivery - DoorDash Excel Sales Analysis

Excel | Exploratory Data Analysis
◾ Real world-marketing campaign data
◾ Using only Excel for analysis and data visualization
◾ Utilized VLOOKUPS, Pivot Tables, Scatter Plots, & Bar Charts
◾ Provided a comprehensive write up to help the marketing team on their next campaign

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🏫 Massachusetts School Data Insights with Tableau Project

Tableau | Data Visualization
◾ Created dashboard evaluating 1,800 different schools' performance across 100's of features
◾ Used Scatter Plots, KPI's, Bar Plots, & Area charts to show performance differences
◾ Presented dashboard to stakeholders via recorded video

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💵 Financial Analysis of World Bank Loans SQL

SQL | Exploratory Data Analysis
◾ Data-mined 1.2M real bank transactions to find financial outliers, patterns, & trends
◾ Used SQL clauses such as SELECT, WHERE, FROM, GROUP BY, AVG, MIN/MAX, SUM, AND, etc
◾ Created written report highlighting findings

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🏥 Analyzing Hospital Data with SQL

SQL| Exploratory Data Analysis
◾ Analyzed what affections hospital stay length in MySQL
◾ Created a histogram using SQL (weird, I know)
◾ Real data from over 101,000 hospital patients

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🏀 Analyzing NBA Data with Tableau

Tableau | Dashboarding
◾ Analyzed the 2022 NBA season statistics
◾ Created Stacked Bar Charts, Heatmaps, Treemaps & Bubble Charts
◾ Built a Tableau story & shared via written report

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⛏️ Analyzing Mining Data with Python

Python | Exploratory Data Analysis
◾ Iron Purity Tracking – Analyzed how iron concentration changes over time in the flotation process.
◾ Key Influencing Factors – Examined the impact of silica levels, pH, and flotation column levels on iron purity.
◾ Optimization Insights – Identified trends to help improve efficiency and reduce impurities in mining operations.

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🛜 Analyzing HR Attrition rate with R

R | Exploratory Data Analysis
◾ Correlation Matrix: Finds variable relationships
◾ Scatterplot: Shows data point trends.
◾ Box Plot: Displays income distribution spread
◾ T-Test: Compares two group means.
◾ Regression Model: Predicts income using variables.

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🔄 Analyzing Subscription Data with SQL

SQL | Exploratory Data Analysis
◾ Identified drop-off points
◾ Optimized payment process
◾ Analyzed user/vendor errors
◾ Improved conversion rates
◾ Used SQL and Snowflake

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🏥 Analyzing Medical Appointment No-Shows with SQL

SQL | Exploratory Data Analysis
◾ No-Show Patterns Analysis
◾ Impact of SMS Reminders
◾ Optimizing Appointment Attendance

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About Me

👋 Hi, I'm Isabella & welcome to my portfolio! I’m a Data Analyst turning complex operational data into actionable insights that drive smarter business, safety, and operational decisions. I started my career in sales, where I developed strong skills in problem solving, stakeholder communication, and business strategy. Over time, I discovered my passion for data—analyzing trends, identifying operational risks, and using analytics to improve efficiency and decision making.Currently, I work at ExxonMobil in a petrochemical manufacturing facility, analyzing operational and safety datasets using SQL, Snowflake, SAP, Tableau, Power BI, and Excel. I build dashboards, automate reporting, track incidents and risks, and create Excel VBA tools that streamline task management and improve operational accountability.

💡 My Key Tools & Skills
SQL
Excel (Pivot Tables, XLOOKUP, VBA automation)
Tableau
Power BI
Python
RI combine my analytical skills with business experience to transform raw data into actionable solutions. If you’d like to collaborate or learn more, feel free to reach out:
[email protected]

Previous Experience

Data Analyst
ExxonMobil · Full Time · June 2025 – Present
◾ Analyze and transform operational datasets within a petrochemical manufacturing facility using SQL, Snowflake, SAP, Tableau, Power BI, and Excel to identify trends and support data-driven decisions.
◾ Develop and maintain dashboards and automated reports to monitor safety incidents, operational risks, and task management metrics, enabling leadership to track critical KPIs and maintain compliance.
◾ Build Excel VBA automation tools to generate task management email notifications, improving incident tracking, risk mitigation, and operational accountability.

Data Analyst
DoodyCalls Pet Waste Management · Full Time · March 2023 – May 2025
◾ Analyzed operational route and workforce datasets to optimize scheduling, reduce inefficiencies, and improve service delivery.
◾ Developed Excel reporting systems using Pivot Tables and XLOOKUP to consolidate operational and financial data across 100+ client accounts.
◾ Performed data validation and trend analysis to identify workflow improvements and support operational decision making.

Data Analyst Intern
Snow Data Science · Internship · Jan 2023 – Mar 2023
◾ Cleaned, structured, and validated datasets to ensure accuracy and consistency for analysis projects.
◾ Developed visual templates and interactive dashboards to communicate analytical insights effectively.
◾ Collaborated with team members to prioritize tasks and deliver actionable insights for project objectives.