United States
Passionate and energetic data professional who loves a challenge. I am interested in intellectual work with rigour. I look for opportunities that offers unique perspectives on social and economic issues. I consult for companies in delivering results for their business using theoretical and mathematical concepts. I have implemented technology solutions for government agencies, healthcare hospitals, financial services, and Insurance companies (16 clients). Able to efficiently solve the customer's ETL project issues. Work with technical and non technical staff to provide clarity and solutions to customer's needs in technology. I enjoy working with people and helping them achieve their potential to reach success. I build partnerships and relationships with my clients, and work with them to meet their needs. I work with different businesses and IT development teams to work on technical and operational improvements that lead to innovation. Indoor and beach volleyball player when not doing data science in my free time. Specialties: •Data Science (Natural Language Processing, Regular Expression text extraction) •Data Engineering (AWS cloud implementation) •Product Management •Writer Contributor (Guidewire manual) • Python Developer • Customer Implementation • Configuration Management and Cloud Lead Program Languages/Technologies: •R •Python (Pandas, Spacy, Great Expectations, Boto3) •Pyspark •Docker •SQL (Mysql, Microsoft SQL Server Management Studio, DB2, TablePlus, Postgres) • Cobol/JCL • Mainframe • Linux (Ubuntu) • Go Lang • Stanford Core NLP • AWS (S3, RDS, Glue, API Gateway, Lambda function) • Azure Devops (Data Pipeline, Git) • Tableau (Stacked Bar Chart, Heat map, Dual Axis Graph, Custom Calculations) • Tesseract OCR & Google Cloud Vision API • Salesforce (SOQL Query and REST API) • Puppet and Ansible Accomplishments: 2020 CFPB: Technology implementation & Concurrency 2020 Project Covid-19: Worked with Data Governance lead to build ETL solutions for government agencies and develop the product with the engineering team. Developed scripts alongside engineering team for automation process. 2018 Guidewire Accelerator: Working with Development and Business Analysts in testing and analyzing data for this new product to help insurers convert data easily from their system. 2015 Mastercard Consumer and Small Business Study: The study resulted in expansion of the work in 2016 to cover South American and Canadian markets. Understanding credit card usage from consumers and small business owners. For speaking and podcasts opportunities, reach out here.
See CFPB
Discovery Lab Product Development: Projects - Building a data collection automation process for management. - Use of Natural Language Processing to extract and analyze text data. - Used Spacy package to extract text data from sources for a Machine Learning model. - Work with Program Manager to test use cases and scenarios for the product. - Develop automation process using Python and SQL tools. - Work with team members in project to polish and optimize pipeline code. - Develop data pipelines using python from different data collection sources. - Web scrape and develop data collection scripts for automation using Beautful Soup and Selenium. Operations Lead: - Promoted to lead AWS project efforts and managing two Data Engineers. - Build Data Pipeline using python scripts - Work with team to set up APIs for scalability (Amazon API Gateway) - Lead the Engineering Group - Attend Data Science modeling group for data support - Provide updates to leadership and sales - Work with Data Governance lead to build database standard
Applied Intelligence Powered by Management Consulting and Technology, AFS Applied Intelligence (AIX) is a full-service data-native practice group that helps federal departments and agencies unlock business value from their data, improve visibility and performance across the enterprise, enhance decision-support and mission outcomes, and accelerate digital capabilities at scale. We are at the forefront of helping federal agencies apply more innovative approaches to achieve their mission objectives and improve operations. As leaders in advanced analytics, artificial intelligence (AI), and automation, our cross-disciplinary team of data science, data engineering and data visualization strategists and practitioners provide deep technical, functional and mission expertise, innovative solutions, and tested methodologies that help agencies collect and measure what matters to them, intelligently harness emerging technologies, optimize decision-making, and holistically and responsibly drive end-to-end change. Capabilities Our offerings for the Federal sector are designed to support customers at every phase of their data journey: Artificial Intelligence and Automation We help our clients establish strong practices and executable roadmaps that set the stage for any AI or intelligent automation transformation. Our offering includes AI Strategy, AI Systems and Service Design, Responsible AI, Conversational AI, and Robotic Process Automation. ASSETS AND ACCELERATORS We support portfolios and our AFS clients through multiple channels: The Discovery Lab offers prototyping, strategy, and design services across the full spectrum of Applied Intelligence offerings. Co-located at our Digital Studio in Washington, D.C., the Discovery Lab is our hub for data discovery, innovation, and emerging technologies.
Earned Verisk Way to Go Award for excellence in data analysis and research: issue of misreporting 1,300 policies for Geico from a data load was resolved through data analysis and collaboration with development to resolve any issues to state DMV. Product Owner: Guidewire Accelerator. Released Product that supports client's data implementation process. Coverage Verifier Conversion Project. Released first iteration of program to clean up data preprocessing step. Data Quality Team : Analyzed current format of data ingestion process. Communicate with management on process to improve data processing. Capture missing data elements for each customer in QA process. Train team members to report data quality process, business logic, and implementation of new logic for customers. Work with development team and QA team to test data program and business logic. Prioritize and release features for the project in two week sprints in agile. Migration Consultant: Worked with ETL group to consult business logic and QA for Coverage Verifier migration from Legacy (Mainframe) to the cloud (AWS). Worked extensively with group during meetings to provide business requirements. Technology Solutions: Worked extensively to study Coverage Verifier flow to understand issue of missing reports from the clients. Investigate files transfer protocol from the Mainframe to production SFTP server. Discovered with team of the corrupted files when the network disconnects. Documented and reported incident to management to execute a solution with data team and data quality team.
As a Data Engineer, my role is to migrate processes from the old system to a new platform. Before the analysis, I need to build the structure and pipes. Once this process is completed, I will be able to generate reports and collect and manage data flow for the organization.