Data Analyst

VIPIN CHANDRA MOULI VENNA

DATA ANALYST

TX, USA (551)554 - 3028 **********************@*****.*** LinkedIn

SUMMARY

Data Analyst with 3+ years of experience in healthcare and financial services, specializing in predictive modeling, anomaly detection, and cohort analysis using Python (Seaborn), R, SAS, and Minitab to drive actionable insights.

Proficient in designing executive dashboards and KPI reporting frameworks using Power BI, Tableau, and Alteryx, supporting strategic decision-making across 180+ hospitals and multi-region banking divisions.

Strong expertise in ETL pipeline development and data warehousing, utilizing SSIS, PostgreSQL, Snowflake, and MongoDB to streamline data flow from diverse sources and ensure scalable, low-latency analytics delivery.

Skilled in data quality management, compliance reporting, and audit readiness using Talend Data Quality, Advanced Excel (VLOOKUP, Macros), Google Workspace, and GitHub, ensuring adherence to HIPAA and RBI regulations.

SKILLS

Programming Languages:

Python (Pandas, NumPy, Seaborn, Matplotlib), R, SQL, Advanced Excel.

Data Analysis & Modeling:

Data Cleaning, Exploratory Data Analysis, Data Mining, KPI Design, Regression Techniques.

Data Visualization:

Power BI, Tableau, Jupyter Notebook, Advanced Excel (Pivot Tables, Macros, VLOOKUP), BI Tools.

Databases / NoSQL:

MySQL, PostgreSQL, Microsoft SQL Server, MongoDB, Data Structures, Database Optimization.

Advanced Analytics & Tools:

R, SAS, Minitab, Google Analytics, NLP, Statistics, Keras, PyTorch, TensorFlow, ML.

Methodologies:

SDLC, Agile, Waterfall, JAD Sessions, UAT, Sprint Planning, Business Analytics, QA Documentation.

Documentation:

User Stories, Regulatory Compliance, Prototyping, Compliant Tracking.

Project Management Tools:

Microsoft Office Suite (Excel, Word, PowerPoint), MS Teams, Google Workspace.

Soft Skills:

Communication (Verbal & Written), Team Collaboration, Presentation, Leadership, Decision-Making.

WORK EXPERIENCE

HCA Healthcare, TX, USA Data Analyst Aug 2024 – Present

Developed predictive models using Python (Seaborn) to calculate 30-day readmission risk scores for 15K+ patients monthly, enabling early escalation protocols that helped care teams reduce preventable readmissions and improve patient care continuity.

Designed population health dashboards in Power BI, utilizing calculated DAX measures, bookmarks, & drill-through visualizations to track chronic care adherence, readmission trends, & follow-up compliance across 180+ facilities with high data granularity.

Automated real-time ingestion of IoT sensor feeds and EMR vitals into a centralized PostgreSQL data lake using time-based triggers and batch sync jobs, eliminating 25+ hours/week of manual effort while enhancing ICU alert response systems.

Performed disease progression analysis using R, applying clustering & logistic regression techniques on longitudinal EHR datasets to flag high-risk patient cohorts, driving early interventions across six specialty programs, and boosting patient outcome prediction accuracy.

Utilized MongoDB to query, parse, and aggregate unstructured text from discharge summaries and radiology notes, reducing clinical review cycle time by 31% and enabling rapid care plan alignment with evidence-based treatment protocols.

Led root cause analysis of 118+ EHR inconsistencies using Advanced Excel (VLOOKUP, Pivot Tables, Macros) and documented investigation reports via Google Workspace, supporting audit readiness & regulatory compliance under HIPAA across multiple care units.

Deloitte, India Data Analyst May 2021 - Jul 2023

Engineered ETL pipelines using SSIS to consolidate customer financial records from 11 disparate sources, enabling risk analysts to generate consistent audit logs and improve fraud detection cycle time by over 4 business days.

Created advanced data quality validation workflows in Talend Data Quality, flagging inaccurate KYC attributes and reducing compliance reporting errors by 27%, which supported RBI-mandated quarterly audits across high-risk business units.

Developed cross-functional dashboards using Tableau, integrating role-based views, filters, and LOD expressions to analyze customer churn behavior, uncovering regional gaps in service delivery and improving operational efficiency across 3 divisions.

Automated complex survey response integration from third-party APIs using Alteryx, transforming over 80,000 responses into structured customer satisfaction KPIs that were later consumed by senior consultants for insight-based market segmentation.

Employed Snowflake for scalable warehousing of internal and regulatory data, supporting near real-time generation of baseline compliance reports for 12+ client portfolios and enabling reduction in data retrieval latency by nearly 38%.

Utilized SAS to run credit risk simulations on client loan portfolios using Monte Carlo techniques and statistical scoring, revealing 3 unrecognized default clusters, and prompting recalibration of tier-based lending strategies.

Implemented time-series forecasting models using Minitab to predict loan delinquency trends, leading to the identification of seasonal risk spikes, and driving a 19% increase in policy approval efficiency for low-risk applicants.

Maintained version-controlled analytics workflows in GitHub, enabling concurrent collaboration with 5+ audit teams and reducing time-to-deploy for dashboard releases from 4 days to under 36 working hours.

EDUCATION

Master of Science in Computer Engineering Aug 2023 – May 2025

The University of North Texas, Texas, USA

Bachelor of Technology in Computer Science Engineering Aug 2018 - Nov 2022

Institute of Aeronautical Engineering, Hyderabad, India

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