Mani Teja Akula
Senior Data Analyst @ HCA Healthcare
About
I am a Data Analyst & Analytics Professional with 4+ years of experience delivering scalable, real-time data solutions in healthcare and global supply chain/logistics. My work bridges advanced analytics, cloud engineering, and strategic storytelling—turning complex data into decisions that save millions, optimize operations, and improve patient outcomes. At HCA Healthcare, I engineered analytics solutions that: ✅ Automated claims processing using Python + Alteryx, reducing manual effort by 30% ✅ Boosted payment reconciliation accuracy by 12% by resolving 9,000+ claim mismatches ✅ Forecasted healthcare costs with 30% higher accuracy using time series & regression models ✅ Built Power BI dashboards used weekly by 120+ clinical leaders to monitor readmissions, staffing, and quality ✅ Improved customer satisfaction process efficiency by 55% through EDA and feedback analysis ✅ Enhanced claim approval turnaround by 7% via ICD-10 gap analysis using Talend Data Quality At Accenture, I led data-driven cost optimization for global logistics clients, delivering: ✅ $2.1M in inventory savings through demand forecasting for 1,800+ SKUs using R (ARIMA, Holt-Winters) ✅ 38% fewer invoice errors by reconciling 25M+ procurement records in SQL Server ✅ 17% reduction in obsolete inventory via K-means clustering on warehouse consumption data ✅ 15% lower operational expenses using TensorFlow-based predictive cost models ✅ Seamless cloud reporting by migrating legacy Excel reports to Power BI + Azure, serving 65+ planners with zero latency ✅ Validated marketing uplift with A/B testing & ANOVA, confirming 14% sales increase in test groups 💡 What sets me apart I combine hands-on technical execution with the ability to translate complex findings into executive-ready narratives—whether for clinicians, supply chain leaders, or finance teams. My work is rooted in measurable impact: reducing waste, improving care, and enabling organizations to act on data with confidence. I am passionate about: ✔️ Leveraging data-driven solutions to solve high-stakes business and healthcare challenges ✔️ Building secure, scalable, and maintainable analytics infrastructure in cloud environments ✔️ Empowering teams to embed analytics into daily operations through intuitive dashboards and automation If you’re a recruiter seeking a Senior Data Analyst with deep experience in healthcare analytics, predictive modeling, and cloud-based BI, or a hiring manager looking for someone who can bridge data and decision-making—let’s connect.
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United States
Primary/Secondary Education
Stakeholder Management, Microsoft SQL Server, Data Storytelling & Visualization, Statistical Modeling (Regression, Time Series, Clustering, A/B Testing), Azure (Data Factory, Blob Storage), AWS (S3, Glue, Redshift), Tableau, Power BI (DAX, Power Query, Dashboard Design), SQL (MySQL, PostgreSQL, SQL Server), Healthcare Data (EHR, Claims, HIPAA, ICD-10), Healthcare Analytics, SQL Server Reporting Services (SSRS), VLOOKUP, Database Management System (DBMS), Data Governance, Business Intelligence (BI), Decision-Making, Communication, Data Analytics, Analytical Skills
Experience
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