RAMYA PRIYA GUNTIPALLI, MSETM, SDS

Beaverton, Oregon 97006 630-***-**** adimi3@r.postjobfree.com

https://www.linkedin.com/in/ramya-priya-guntipalli-579961139/ Senior Data Scientist Machine Learning Data Scientist Scientist with strong problem-solving skills utilizing vision, creativity, and agile development frameworks to deliver end-to- end, full-lifecycle consulting and professional services in a dynamic environment. Equipped with integrity, analytical skills and the capability to research and develop optimization and innovation techniques to solve problems efficiently. Demonstrate superior collaborative, interpersonal and communication skills as a driven and reliable coach and mentor with the capacity to conduct customer-facing presentations, as necessary. CORE COMPETENCIES

Data Structures

Predictive Models

Dashboard Creation

Quantitative Data Analysis

Business Intelligence & Analytics

Data Wrangling & Data Modeling

Data Visualization

Technical Reports

Software Development

Statistics & Mathematics

Research & Documentation

Computer Science Programming

Data Processing

Applied Data Science

Data Mining Algorithms

Mathematical Modeling

Excellent Communication Skills

Statistical Modeling & Methodologies

PROFESSIONAL EXPERIENCE

The Standard Insurance Portland, OR June 2018 – Present DATA SCIENTIST INTERN / DATA SCIENTIST LEVEL 2 June 2018 – Present

Develop a survival random forest technique, piloting the predictive model with 21 disability claim examiners to predict the claim duration process and determine how to optimize the whole process, thereby enhancing customer satisfaction. Construct Random Forest, Logistic Regression and XG boost algorithms to identify claim validations and settlement.

Partner with a special investigation unit and build web scraping tools using Selenium for investigating fraudulent insurance claims. Utilize agile text mining strategies on unstructured datasets to draw valuable decisions and build word networks and word clouds to identify fraud claims' behavior.

Design Proof of Concept (POC) for Azure MLS, DevOps and Data Factory in the data science framework. Establish and productionize a high performing end-to-end ML model framework in the Azure cloud environment.

Optimize the identification process of overpayment pension claims benefits for claim examiners by crafting an automated script in R and SQL Server, saving time, augmenting productivity, and generating $700K+ company savings.

Conduct anomaly detection activities, discover QWERTY errors and develop a UDF in R that computes the Levenshtein distance between two character strings and replaces the error string with minimum distance.

Construct a strategic experimental design to optimize the hyperparameter tuning process, select the best performance model, and deploy it on the Azure data labs successfully.

City Scale Portland, OR February 2018 – June 2018 DATA ANALYST INTERN

Utilized regression methodology to predict each industry sector's impact on carbon emission for 50+ cities in the U.S.

Conducted data wrangling techniques for gathered research data from approximately 50+ US Counties employing R on community-scale time series data.

Tested all the predictor variables' correlations and defined all variables' variance inflation factors to deal with multicollinearity problems.

Applied the variable selection techniques such as forward, backward and stepwise regression to identify unnecessary predictors in the model, streamlining the process effectively. Highly motivated, data-driven professional with 8+ years of industry experience in data analytics and computer science programming and 2+ years in technical design and data science. Passionate, hands-on, self-starter, and Certified Senior Data RAMYA PRIYA GUNTIPALLI adimi3@r.postjobfree.com 630-***-**** Page 2

Infosys Limited Bangalore, India September 2011 – November 2014 SENIOR SYSTEMS ENGINEER / DATA ANALYST

Designed a user interface (UI) in ASP.NET and SQL Servers to pull daily geographical canned reports per location.

Collected 2M+ rows of big data from different on-premises databases, and linked them using reference keys to collaborate essential data, generate the needed reports and application dashboards for stakeholders.

Fine-tuned SQL queries through common table expressions, rank, and partition techniques to increase application speed and business users' productivity by 20%.

Performed root cause analysis and resolved franchise business issues by writing and implementing C# codes and SQL query changes to boost overall franchise sales business value by 30%.

Supplied exceptional professional services through training, coaching, and mentoring international business users on various custom operations reporting generation processes.

Nanomindz Technologies Vizag, India April 2009 – August 2011

.NET SQL DEVELOPER

Developed UI to store employee information using .NET and SQL Servers and utilized ADO.Net data source components to integrate relational and non-relational systems.

Coordinated with stakeholders to implement the changes in software code in .Net application and SQL server successfully.

Enhanced the employee benefits site UI performance by 50% within four months by collaborating with the executive team.

Formulated and established data reports employing pivot tables and VLOOKUP functions and extracted, interpreted, and analyzed the employees' voluntary retirement data to provide insights to executives and internal customers.

Formulated stored procedures writing in SQL server and generated application dashboards in ASP.NET to visualize and facilitate employee retirement benefits comprehension. COURSE PROJECT EXPERIENCE

BIKETOWN, Nike Portland, OR January 2018 – April 2018

Collaborated closely with Bike Town’s team to listen to and understand business needs and determine the most urgent issues.

Built a tool employing the Shiny app to address the marketing team’s queries that led to better decision-making and Bike Town's business growth, gaining consulting experience.

TERADATA UNIVERSITY DATA CHALLENGE - Bike Multiple Sclerosis (MS), National MS Society January 2018 – April 2018

Participated in TUN Data Challenge by analyzing Bike MS data sets and identifying event participant connections utilizing R and data mining algorithms.

Conducted statistics and historical data analysis of Fortune 500 companies and provided insights into acquiring and increasing corporate donations.

EDUCATION & CERTIFICATION

Master of Science in Engineering and Technology Management, Specialization in Business Intelligence and Analytics Portland State University – Maseeh College of Engineering, Portland, OR Sep 2017 – Mar 2019 Bachelor of Science in Information Technology

Nova College of Engineering and Technology for Women, Vijayawada, India Aug 2005 – Apr 2009 Senior Data Scientist (SDS) Certification

Data Science Council of America (DASCA), Reston, VA April 2020 – April 2025 VOLUNTEER EXPERIENCE

PORTLAND WOMEN IN TECHNOLOGY, Portland, OR Oct 2019 – Present

Mentoring individuals who plan to and are pursuing a career in Business Intelligence and Analytics TECHNICAL SKILLS

Programming Languages: R, SQL, Python, C# Analytical Models & Techniques: Statistical Modeling, Linear Regression, Clustering, Predictive Analysis, Quantitative Analysis, Text Mining, Feature Selection Tools: R Studio, Jupyter Notebook, Pycharm, Anaconda Navigator, Azure ML Studio Visualization Tools: Tableau, Microsoft Excel, PowerBI Databases: Oracle, SQL Server Machine Learning: Supervised and Unsupervised Learning, Logistic Regression, Random Forest, Random Survival Forests, Xg Boost, Probabilistic Graphical Models, Bayesian Networks, Stochastic Regression Imputation, Natural Language Processing, Operating Systems (OS): Microsoft Windows, macOS Computer Engineering: Software Development Lifecycle, Computer Programming

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