Christian Wanser

Promethean

Analytics Manager

Sr. Data Analyst

Data Wizardry

Founder

Towards Data Science

Contributing Writer

Freson Bros.

M.S. in Data Science & Analytics practicum consulting engagement.

Consultant Data Scientist

CBRE

Analyst

Plug-In Hybrid & Electric Vehicle Research Center

Data Analyst

AIChE - American Institute of Chemical Engineers

Trader Joe's

California Cancer & Research Institute

Data Wizard & Mentor | Helping data nerds launch & advance their data careers | Sr. Data Analyst | MS Analytics

Thanks for checking out my page! I am a data professional with years of experience in data analysis, data visualization, machine learning, dashboarding, and other data requirements.

I am an engineer turned data expert with extensive experience providing insights through data. I discovered my passion for data while completing my B.S. in Chemical Engineering and I went on to receive my M.S. in Data Science & Analytics!

I am a strong critical thinker, with robust technical skills that are healthily balanced with intuition and an innate ability to communicate data. I live to see the lightbulb moment when I’m discussing topics with people!

How can we help each other?

Throughout my schooling and professional career, I have always enjoyed helping my peers and coworkers. With LinkedIn and Medium, I'm casting a wider net! Reach out, connect, follow, or just pass through. Whatever floats your boat and best of luck on your journey!

(All of my content is my personal views and opinions)

Alliance Health

Senior Data Analyst - Population Health and Care Management

- Developed and maintained weekly productivity reports for the Care Management Team, ensuring timely and accurate insights.
- Crafted complex SQL queries to retrieve and consolidate data from the warehouse, providing a foundational reference for subsequent queries and analyses.
- Developed SQL queries to detect and mitigate potential compliance risks.
-Developed Python scripts to automate several manual reports, significantly increasing efficiency and reducing errors.
- Utilized version control systems to manage and track changes to SQL scripts and Python code, ensuring consistency and facilitating collaboration.
- Collaborated with various departments to understand data requirements and ensure the reports met organizational needs. Provided internal support and guidance in utilizing reports for tailored uses.
- Ensured productivity reports were accurate and validated by external vendors, enhancing trust and reliability in the data.
- Established productivity reports as a reliable source of truth used across the organization, supporting data-driven decision-making.
- Worked closely with stakeholders to gather relevant data and understand their priorities, delivering insights that informed strategic decisions.
- Identified opportunities for process improvements and implemented solutions to enhance data quality and reporting processes.

Data Analyst - Population Health and Care Management

LinkedIn

LinkedIn Learning Instructor

Dentalle Inc.

•	Tracked and maintained accurate records of all incoming orders, ensuring data integrity while streamlining order management workflows for efficiency
•	Analyzed patterns and trends in case submissions, identifying which types of cases were received the most and least frequently to inform customer service. 
•	Conducted office-level analysis to determine which dental offices submitted most cases, helping streamline communications and strengthen business relationships.
•	 Investigated patterns in offices that reduced or stopped case submissions, identifying root causes and collaborating with the sales and customer service teams to implement improvements
•	Generated reports and dashboards to visualize trends in case submissions and office performance, driving decisions using data to enhance operations efficiency and workflow improvements.

Data Specialist

HEALTHY FAMILY DENTISTRY PA

•	Reconciled claims with financial reimbursement, identifying and addressing discrepancies between expected clinical performance payments and actual reimbursement received
•	Analyzed claim denial trends, identifying root causes and implementing solutions to reduce rejections and improve overall revenue cycle management
•	Streamlined processes by collaborating with leadership to implement best practices and standardized workflows, enhancing efficiency across the organization
•	Led workflow improvements to reduce patient wait times, optimize scheduling, and ensure appropriate staffing during peak hours, improving overall patient care
•	Initiated process improvements that enhanced practice operations, including optimizing claim processing and staff utilization to support practice growth and efficiency
•	Monitored patient satisfaction, using data analysis to identify areas of service improvement and enhance the patient experience
•	Tracked outcomes to assess effectiveness and worked with clinicians to adjust practices based on data-driven insights
•	Developed preventive care programs by analyzing patterns in oral health issues and designing educational initiatives to promote better patient outcomes
•	Evaluated clinical staff performance by analyzing productivity, treatment efficiency, and patient outcomes to recommend targeted improvements and staff training.

Analytical Dental Hygienist

I’ve always seen data as more than numbers in rows and columns: it’s a story waiting to be told. But stories can get lost when the data is messy, scattered, or hard to trust.

That’s why I build modular, trustworthy data workflows that make stories clearer, more reliable, and ready to power both analytics and automation. Using SQL, Python, DuckDB, and Git, I design data systems that are reproducible, collaborative, and scalable, so data teams don’t just crunch numbers, they build knowledge that lasts.

My work blends engineering discipline with analytical curiosity. I focus on quality, clarity, and governance, especially in healthcare, where data decisions have real impacts on people’s lives. To me, data systems shouldn’t just aim for performance, they should also be responsible, supporting ethical AI, better patient outcomes, and more human-centric technology.

At the heart of it all, I believe clean, well-structured data is the foundation of every story worth telling, whether that’s a business insight, a machine learning model, or a decision that shapes someone’s future.

Thais Cooke

The longer I work in data analytics, the clearer this becomes: Success has very little to do with the tools.
Don't get me wrong, the tools matter. You need to know your way around SQL, Python, Excel, or whatever tool you use.
But real impact comes from understanding the messy reality of how the business actually operates: how decisions get made, where the bottlenecks hide, what problems are worth solving.
Organizations don't need more dashboards. They need people who can translate complexity into clarity and insight into action.
So yes, learn the tools. Master them, even.
But don't stop there. Study the business. Understand the workflows. Ask better questions. Build relationships with the people doing the work. Document what you learn.
That's what creates lasting change.

Senior Healthcare Data Analyst | LinkedIn Learning Instructor | Speaker

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