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Candidate's Name , MSDSPHONE NUMBER AVAILABLE EMAIL AVAILABLEData Scientist, Engineer & AnalystData Modeling & ML Business Analytics & KPIs Data Architecture & Visualization Data scienst, engineer and analyst with an extensive background in developing and supporng data-focused iniaves for corporate organizaons (Markeng and Sales at Cisco in parcular). Experse in seamlessly adapng to new tools and technologies. Adept at collaborang with cross-funconal teams to ensure that project deliverables meet organizaonal business requirements. Procient in building and managing markeng performance dashboards, Salesforce.com, customer and partner categorizaons and cercaons. Core Competencies: Soluons ArchitectureKPI DevelopmentData IntegraonData modeling and MLData Gathering & Processing (ETL)Process ImprovementData MigraonsBusiness IntelligenceData QualityCAREER OVERVIEWCISCO SYSTEMS, INC. 08/2003  01/2024DATA SCIENTIST/DATA ENGINEER  MARKETING ORGANIZATION - DATA AND REPORTING TEAM 04/2015  01/2024Spearheaded the development (in SQL) and release of a Markeng dashboard that unied data across mulple sources to standardized metrics denions, resulng in an 8% pipeline increase for FY 2023.Leveraged Snowake (SQL), Python, PL/SQL and SAS programming for data gathering, processing, and data quality checks for Markeng ETL processes related to lead ow, customer and partner engagement, and metrics reporng, providing end-to-end process lifecycle in many projects. Reported on pipeline, bookings and engagement (this one using a points system). Used Google Cloud Plaorm for process automaon and orchestrang the data pipelines (and shell scripts for process sequencing, error detecon and handling)Created and published machine learning models (w/Python) for account clustering, technology budget esmaon, and detecng at risk accounts based on integraons with internal and external dataPresented ndings and conclusions that were clear to users of all skill levels, as well as measurable for the business.Migrated Markeng programs from SAS to Hadoop, then from Hadoop to Snowake, all of these used SQL. Technologies: Snowake (SQL), Python, Git, Bitbucket, Google Cloud Plaorm, Machine Learning, SAS, Shell, Asana, ETL DATA ARCHITECT  LATIN AMERICAN CUSTOMER INTELLIGENCE TEAM 08/2013  04/2015Analyzed, designed, and built the Lan American Customer Intelligence Engine (CIE) (with SAS, Tableau and SQL) an integrated data plaorm supporng the storage and reporng of customer data for use in Sales and Markeng iniaves.Created database logical and physical models using ERWin, and provided guidance for data governance, and used shell scripts to build the data pipeline process to refresh the CIE data.Built charts, reports and dashboards using Tableau to eecvely convey CIE data to internal customers in a clear and concise manner, presenng the project upon compleon. Technologies: SAS, Tableau, SQL, MySQL, Salesforce.com, ERWin, Shell scripts, Jira DATA ANALYST  MARKETING IT/LATIN AMERICAN TEAM 08/2003  09/2013Supported markeng managers in the execuon of campaigns inside and outside standard company systems related to data provision, lead roung, and management.Provided regular reports on campaign execuon eecveness and data quality, as needed.Generated and consolidated metrics for web and click-to-chat for dashboard and Call Center performance review.Created and executed a framework to improve system data quality, execung roune cleanup and improvement processes. The framework was built as stored procedures using SQL and PL/SQL; and used shell scripts for process automaon.Created and implemented ETL processes for integrang contacts and transaconal data into the Markeng database using Informaca PowerCenterTechnologies: SAS, SMCC Applicaon and Reporng, CIC, SFDC, Shell scripts, Excel, LivePerson, SAP Business Objects Infoview, Quest TOAD, MS SQL Server, GnuPG, ETL, Informaca Power Center TECHNICAL PROFICIENCIESData Science Tools & Languages: Snowake, SQL, Hive, Python, Git, Bitbucket, Docker, R, Google Cloud plaorm, SAS programming, Linux/UNIX, Shell scripng, Oracle PL/SQL, MySQL, HTML, Javascript, XML, End-to-End process, Asana, Jira, ETL processes with Informaca and SAS sowareData Visualizaon: Tableau, Domo, PowerBI, QlikEDUCATIONMaster of Science, Data Science, Indiana University Bloomington Bachelor of Science, Computer Science, University of Buenos Aires Tags: Data Scienst, Data Science, Data Engineer, Data Engineering, Data Modeling, Data Modelling, Data Models, Data Analyst, Data Analysis, Data Pipelines, Data Architect, Data Architecture, Data Structure, Data Quality, Data Integraon, Data Migraon, Data Visualizaon, Big Data, Machine Learning, Deep Learning, Data Cleaning, Data Cleansing, Data Wrangling, Process Migraon, End-to-End Process, Business Analycs, Business KPI, Business KPIs, Markeng Analycs, Markeng KPI, Markeng KPIs, Problem Solving, Relaonal Databases, Databases, Data Warehouse, Data Warehousing, Data Lake, Salesforce.com, SFDC, Computer Science, Stasncs, SnowFlake, SnowSql, SQL, SQL Query opmizaon, Python, Numpy, Pandas, Scikit-learn, C, C++, R, Git, BitBucket, Docker, Oracle, PL/SQL, Linux, Unix, Shell, Javascript, HTML, GCP, NoSQL, NoSQL databases, MongoDB, Tableau, PowerBI, Google Cloud Plaorm, Hadoop, Hive, SAS, Informaca Powercenter, ETL, Asana, Jira