Vishnu Mallampalli

About Vishnu Mallampalli

I’m a data analytics professional with 4+ years of experience building reliable analytics foundations, scalable data pipelines, and insight-driven solutions that influence real business decisions. My work sits at the intersection of analytics, experimentation, and data engineering, turning messy, high-volume data into clear, trusted signals for teams and leaders.My work spans healthcare, finance services, banking, and marketing, where I’ve delivered measurable impact by reducing manual reporting up to 60%, improving data quality and governance, and driving gains in ROI, retention, and operational efficiency. I’ve led end-to-end analytics initiatives including KPI design, A/B testing, cohort and segmentation analysis, and predictive modeling for risk, churn, and optimization use cases.I’m particularly interested in applying advanced analytics and machine learning, including GenAI-assisted workflows, to scale insights and improve measurement quality. I’m actively exploring opportunities in Data Analytics, BI, Analytics Engineering, and applied Data Science where impact and rigor matter.

Experience

1. Data Analyst

   CitiusTech

   Jan 2025 — Present · US

   Delivered readmission and fraud monitoring dashboards, cutting reporting turnaround 25% from four days to three, by defining healthcare KPIs with SQL CTEs and enabling self-service insights through Tableau.• Analyzed cohort performance and early trend signals, improving intervention targeting 18% across high-risk populations, by applying SQL window functions and Python pandas, NumPy, and SciPy for segmentation analysis.• Executed A/B testing for outreach and provider workflows, increasing campaign ROI 18% and provider compliance 15%, by designing experiment metrics in SQL and automating statistical analysis with Python statsmodels.• Built readmission risk scoring for 30-day outcomes, improving care manager outreach completion 12%, by training regression and tree-based models in Python scikit-learn using claims history and utilization features.• Led analyst enablement initiatives, reducing ad-hoc SQL request volume 40% month-over-month, by documenting curated datasets in dbt and deploying an internal SQL assistant with RBAC controls and schema allowlists.• Automated HIPAA-compliant ingestion for 12 claims and EHR tables, reducing data refresh effort 65% from six hours to two, by building Python validation checks and AWS Glue pipelines integrated into Snowflake.Environment: Python (pandas, NumPy, SciPy, scikit-learn, statsmodels), SQL (CTEs, window functions), Tableau, dbt, Snowflake, AWS Glue, HIPAA-Compliant Data Pipelines, A/B Testing and Experimentation, Regression and Tree-Based Modeling, Healthcare Analytics (Claims and EHR Data), RBAC and Data Governance.

Education

• SRM University, AP

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

• University of North Texas

  Master of Science - MS, Data Engineering