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Emma Sung

@emmasung

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Data Analyst skilled in SQL, Python, and actionable insights.

United States

Message

What I'm looking for

I am looking for a role that allows me to leverage data analytics to drive strategic decisions and improve operational efficiency in a collaborative environment.

As a dedicated Data Analyst, I have hands-on experience in SQL, Python, Tableau, and Excel, focusing on transforming complex datasets into actionable insights. My expertise lies in predictive modeling, fraud detection, KPI tracking, and risk analysis. I have a proven ability to deliver insights that drive strategy and improve performance, making me a valuable asset to any team.

During my tenure at The Boeing Company, I applied predictive analytics and cost forecasting across a fleet of over 1,000 aircraft, optimizing compliance and reducing operational costs. I successfully investigated system failures using trend analysis and anomaly detection, enabling targeted corrective actions. My work in building KPI dashboards in Excel significantly reduced reporting delays by 15%, showcasing my ability to translate complex technical data into business insights that enhance decision-making.

My capstone projects during my Data Analyst Fellowship at Springboard further honed my skills. I developed fraud detection models in Python, surfacing $42K in potentially fraudulent activity, and created Tableau dashboards to visualize fraud patterns. I also analyzed energy market outage data using SQL, uncovering key insights that guided operational strategy. I am passionate about leveraging data to drive impactful decisions and am eager to contribute my skills to a forward-thinking organization.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst Fellow

Current

Springboard

Jun 2024 - Present (1 year)

Developed fraud detection models in Python (Decision Tree, Random Forest) on 8M+ transactions, surfacing $42K in potentially fraudulent activity; created Tableau dashboards to visualize fraud patterns and support risk strategy. Analyzed energy market outage data using SQL to uncover key insights, including the most frequent outage types, seasonal patterns, and the top three regions with recurring

Python Tableau SQL Predictive Analytics Data Visualization Risk Analysis Statistical Modeling

Current

Data Analyst (Flight Controls Engineer)

Current

The Boeing Company

Jan 2022 - Present (3 years 5 months)

Applied predictive analytics and cost forecasting across a fleet of 1,000+ aircraft to optimize compliance and reduce operational costs. Investigated system failures using trend analysis and anomaly detection, enabling targeted corrective actions. Built KPI dashboards in Excel to track system reliability and performance, reducing reporting delays by 15%.

Predictive Analytics Anomaly Detection Excel KPI Tracking Data Cleaning

Data Analyst Intern (Engineering Focus)

BlueVortex

May 2019 - Present (6 years 1 month)

Analyzed sensor data, identifying trends in sensor accuracy and response times. Applied time-series analysis and statistical modeling to assess environmental impacts on sensor performance. Developed visualizations to present findings on system efficiency, improving data accessibility.

Time Series Analysis Statistical Modeling Data Visualization

Education

Degrees, certifications, and relevant coursework

Springboard

Certificate, Data Analytics

Completed the Data Analytics Track, focusing on SQL, Python, and Data Visualization. Engaged in capstone projects to apply learned skills in real-world scenarios.