Nandika Kailq
@nandikakailq
Data Analyst with 3+ years using SQL, Python, and BI dashboards to drive healthcare decisions.
What I'm looking for
I’m a Data Analyst with 3+ years of hands-on experience in data analytics and decision-making. I’m especially comfortable analyzing complex healthcare data and turning it into clear, actionable insights for stakeholders.
I build dashboards and analytics products using Power BI, Tableau, and advanced Excel, while also delivering the underlying data workflows that make them reliable. In my recent role, I automated network operation reporting with SQL ETL pipelines, cutting manual processing time from 50 minutes to 10 minutes.
I’ve led analytics work, collaborating with directors and cross-functional teams to develop claims dashboards for Medicare/Medicaid contexts. I also established data validation and auditing procedures to reduce anomalies and improve data reliability, and I’ve used predictive analytics (regression, classification, A/B testing) to understand product behavior in healthcare settings.
My working style is structured and stakeholder-focused: I solve ambiguous problems with disciplined analysis, communicate results clearly, and ensure data integrity and compliance throughout reporting workflows. I enjoy partnering across teams to migrate and modernize data flows, including ETL pipeline design and working with Azure Synapse Analytics.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Senecio Corp
Mar 2025 - Aug 2025 (5 months)
Built Power BI dashboards using Python and Power BI to visualize network operations and support project tracking. Automated network operations reporting with SQL ETL pipelines and implemented data validation/auditing procedures to improve data reliability.
Led a team of 3 analysts to develop Medicare and Medicaid claims dashboards using Tableau. Performed data mining, ETL pipeline design for Azure Synapse Analytics, and predictive analytics with SAS A/B testing to support operational and strategic decision-making.
Conducted exploratory data analysis with SQL and Python to identify trends for operational decision-making and monitored KPIs to improve process efficiency. Used Excel pivot tables, VLOOKUPs, and macros to automate reporting tasks while reducing decision-making errors.
Education
Degrees, certifications, and relevant coursework
Bowling Green State University
Master of Science, Computer Science
Master of Science in Computer Science at Bowling Green State University.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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