Rahul Zende

Data Scientist

University of Washington•  June 2019 - Present

• Implementing statistical models & tools on a large high-performance computing cluster with over 20k nodes using data.table, GauProMod, lme4. • Designing & maintaining production-ready research software and processes for organization-wide usage in R and Stata. • Performing econometric analyses and constructing predictive models to impute & forecast panel data & time series data for 204 countries across the globe using R. • Visualizing retrospective & prospective trends in global health and financial indicators across space and time using ggplot2 and gridExtra. • Researching, reviewing & implementing methods from research literature for upcoming projects. The IHME is an independent research institute working in the area of global health statistics and impact evaluation at the University of Washington, primarily funded by the Bill & Melinda Gates Foundation.

Applied Scientist - Capstone

Smartsheet•  January 2020 - June 2020

• Conducted topic analyses of Smartsheet Community posts and servicing requests using NLP for improved discoverability and routing using scikit-learn, gensim, spaCy and NLTK. • Evaluated & predicted sentiments attached to user feedback for faster prioritization and resolution by experts using Python in a rule-based and unsupervised context. • Visualized actionable insights using Tableau dashboards for business impact and future product roadmap.

Graduate Research Assistant

University of Washington•  April 2019 - June 2019

• Analyzed and evaluated the toxicity of treatment methods for cancer patients suffering from multiple myeloma (also known as Kahler's disease). • Performed data munging for readying raw datasets using Python and R. • Leveraged dimensionality reduction techniques (PCA, etc.) in R for feature selection in sparse data matrices, prior to applying statistical learning methods. • Iteratively imputed data for multiple columns within intermediate files using fancyimpute in Python. • Randomly generated synthetic data (1000x the file size).

Student Data Consultant

Fred Hutch •  March 2019 - June 2019

• Advised as an MSIM student on a project involving the overhaul & consolidation of legacy database systems. • Enabled Fred Hutch to lead globally in cancer research with a centralized repository/tool for specimen management. • Led discussions with teams for understanding the business requirements and gathering domain knowledge necessary to pull-off the consolidation and transition of databases. • Migrated tables from Microsoft Access DB to Microsoft SQL Server from scratch by reconciling data type mismatches and similarities.

Senior Data Analyst

Wells fargo•  October 2016 - June 2018

✓ Awarded an early promotion, Wells Fargo Champion (2017) & Achieving Excellence – I (2016) awards as recognition for demonstrated capabilities & contributions to projects built from scratch, innovations & optimizations. ✓ Contributed to code/process improvements & automations/optimizations that amounted to $10,000+ worth of annual savings ✓ Mentored two subsequent batches of new team members joining my line of business and inducted them into the daily workflow best practices, technical know-how and business expectations. • Collaborated with different teams & individuals for multiple extracurricular initiatives that brought in 15+ Shared Success awards. • Worked on a project that merged Home Mortgage (WFHM) & Home Equity (HE) data, further loading it into a new centralized Financial Repository that improved data retrieval latency & compliance with updated federal regulations. • Performed ETL code development & analysis to support data warehousing initiatives across servers & data marts that sourced, cleaned and combined data from diverse sources like SQL Server, Oracle DB, Db2 & Mainframe systems and optimized it to support business decisions. • Wrote shell scripts for creating process wrappers & data functions that drove scheduled/ad-hoc jobs performing ETL functions daily, weekly, yearly etc. • Pitched in on efforts directed towards establishment of data lineage between discrete data marts on the Ab Initio Metadata Hub platform to simplify downstream analysis done by BI (Business Intelligence) experts. • Functioned in Agile (Speed to Market) and Waterfall methodologies for software development project delivery. • Conducted and organized extracurricular activities within the Enterprise Data Analytics (EDA)/Enterprise Information Technology's (EIT) Data Technology Line of Business (LOB) as an active member of the UTSAV team.

Data Analyst

Wells fargo•  July 2015 - September 2016

• Understood processes and functions of teams within the Home Mortgage (Line of Business) pipeline of the Enterprise Data Analytics horizontal. • Studied the data flows representing loan sourcing, underwriting, appraisal and servicing (for loans originating within and outside Wells Fargo) to get a better idea about the bigger picture surrounding the Home Lending business. • Synchronized and tweaked daily batch processes that generated downstream BI reports for smoother operation.

University of Washington, Washington

Data Science, MS•  September 2018 - June 2020

- Programming for Data Science - Data Science I: Probability and Statistics - Data Science II: Machine Learning - Data Science III: Scaling, Ethics and Deep Learning - Image Analysis for Data Scientists - Social Media Data Mining and Analysis - Analytic Methods for Information Professionals - Relational Database Management Systems - Management of Information Organizations - Principles of Information Project Management - Policy and Ethics in Information Management - Design Use Build (DUB) Seminar - Capstone I: Project Planning - Capstone II: Project Implementation - Independent Study for Product Management

VIT, Vellore (Vellore Institute of Technology)

Electronics and Communication Engineering, B.Tech•  June 2011 - May 2015

@Vellore campus - Data Structures and Algorithms - Computer Networks - Computer Organization and Architecture - Human Resource Management - Psychology and Sociology - Business Accounting for Engineers