Data Scientist with 7+ Years of Analytics Expertise

UMASRI BHAVANASI

Acton, MA 978-***-**** ***************@*****.*** U.S. Citizen GitHub: github.com/umasrigithub PROFESSIONAL SUMMARY

Data Scientist / Analytics professional with 7+ years of experience in data analysis, SQL-based reporting, predictive modeling, dashboard development, data validation, and machine learning projects, supported by 12+ years of experience building data-driven enterprise applications. Skilled in Python, SQL, SAS DATA step/PROC SQL, scikit-learn, regression, classification, feature engineering, model evaluation, Tableau/Power BI, and cloud-based ML workflows using AWS and Azure basics. Strong ability to translate business problems into actionable insights for technical and non-technical stakeholders.

TECHNICAL SKILLS

Programming & Analytics:Python, SQL, SAS, R, C#, C++, JavaScript SAS & Data Preparation:DATA step, PROC SQL, PROC

IMPORT/EXPORT, data cleaning, validation,

reporting, joins, aggregations

Machine Learning:Regression, classification, feature engineering, regularization, cross-validation, model

evaluation, risk scoring

Libraries:Pandas, NumPy, scikit-learn, PyTorch basics, Matplotlib, Seaborn

Cloud & Platforms:AWS S3/EC2, Azure ML basics, Azure Blob Storage, Databricks basics, Google Colab,

GitHub

Visualization & Databases:Tableau, Power BI, SQL Server, Oracle, MS Access

DATA SCIENCE & ANALYTICS PROJECTS

Healthcare Readmission Risk Prediction Academic/Coursework Project Python, Pandas, NumPy, Matplotlib, Azure ML

• Developed a logistic regression model to predict 30-day hospital readmission risk using patient, encounter, diagnosis, and discharge-related variables.

• Applied preprocessing, feature selection, regularization, and stratified cross-validation to improve model generalization and interpretability.

• Optimized recall and F1-score to better identify high-risk patients for follow-up, care coordination, and discharge planning.

Housing Price Prediction Academic/Coursework Project Python, scikit-learn, AWS S3/EC2, Tableau/Power BI

• Built regression models including Linear Regression, Ridge, and Lasso to estimate home prices from property, location, and quality-related features.

• Engineered domain-specific variables, applied log transformations, and used k-fold cross-validation to reduce overfitting and improve model stability.

• Performed residual analysis and developed dashboards to explain price drivers and model performance to non-technical stakeholders.

Operational KPI Dashboard & Reporting Brahma Kumaris SQL, SAS, Tableau/Power BI

• Created dashboard-ready datasets to track event registrations, attendance, volunteer activity, inventory, and feedback metrics.

• Used SQL and SAS-style data preparation to clean data, remove duplicates, standardize fields, calculate KPIs, and validate reporting outputs.

• Built recurring reports and dashboard views to monitor trends, identify exceptions, and support leadership decisions.

Enterprise Data Quality & Reporting Analytics ITT Educational Services Inc. SQL, SAS, Python

• Supported enterprise data migration and reporting workflows by validating source-to-target mappings between Oracle and SQL Server.

• Used SQL and SAS-style validation logic to identify missing values, duplicate records, inconsistent fields, and reconciliation issues.

• Created exception reports and analysis-ready datasets to improve reporting accuracy and stakeholder trust in business metrics.

PROFESSIONAL EXPERIENCE

Technology & Data Support Lead — Volunteer Role Brahma Kumaris 2010 – 2023

• Built SQL-based tracking and reporting systems for inventory, events, registrations, attendance, volunteer activity, and feedback metrics.

• Created dashboard-ready datasets and recurring KPI reports to support operational decision-making.

• Used SQL/SAS-style data preparation to clean, standardize, validate, and summarize operational data for reporting.

• Maintained website content for community programs and partnered with leadership to improve reporting accuracy and accessibility.

Senior Software Engineer ITT Educational Services Inc. 2008 – 2010

• Supported large-scale Oracle-to-SQL Server data migration, ensuring data accuracy, mapping consistency, and reliable reporting outputs.

• Contributed to data modeling, database design, SQL query development, and production data issue resolution for enterprise applications.

• Built analysis-ready datasets and validation queries to support operational reporting and stakeholder decision-making.

Senior .NET Developer Roush Industries 2006 – 2007

• Developed database-driven web applications and reporting tools using SQL Server and ADO.NET to support operational workflows.

• Gathered business requirements and translated them into technical and data-driven solutions, including search, filtering, and structured reporting capabilities.

.NET Developer Accenture Technology Solutions 2004 – 2006

• Built and supported enterprise applications with emphasis on structured data processing, business logic, reporting requirements, and client-facing delivery.

• Collaborated with client teams to translate business requirements into scalable technical and analytical solutions.

EARLIER EXPERIENCE

Programmer/Analyst, Tech Team Inc. (Ford Motor Company) 2003 – 2004; Programmer/Analyst, Compuware Corporation 2000 – 2003; Programmer/Analyst, VLS Systems, Inc. 1998 – 2000; Project Leader & Application Developer, The Vysya Bank Ltd. 1996 – 1998; Application Developer, Prabhala Hi Tech Enterprises 1995 – 1996.

EDUCATION & CERTIFICATIONS

Master of Science in Data Science, The University of Texas at Austin Dec 2025 Bachelor of Computer Science & Engineering, Nagarjuna University, India Certification: Sun Certified Java Programmer (Java 2 Platform) ADDITIONAL STRENGTHS

• Strong problem-solving and analytical thinking with experience working with large-scale and complex datasets.

• Ability to translate business problems into data-driven solutions and communicate findings to non-technical stakeholders.

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