Pablo Biscayart, MSDS

669-***-**** ad4u2u@r.postjobfree.com

Data Scientist, Engineer & Analyst

Data Modeling & ML Business Analytics & KPIs Data Architecture & Visualization Data scienƟst, engineer and analyst with an extensive background in developing and supporƟng data-focused iniƟaƟves for corporate organizaƟons (MarkeƟng and Sales at Cisco in parƟcular). ExperƟse in seamlessly adapƟng to new tools and technologies. Adept at collaboraƟng with cross-funcƟonal teams to ensure that project deliverables meet organizaƟonal business requirements. Proficient in building and managing markeƟng performance dashboards, Salesforce.com, customer and partner categorizaƟons and cerƟficaƟons. Core Competencies: SoluƟons Architecture

KPI Development

Data IntegraƟon

Data modeling and ML

Data Gathering & Processing (ETL)

Process Improvement

Data MigraƟons

Business Intelligence

Data Quality

CAREER OVERVIEW

CISCO SYSTEMS, INC. 08/2003 – 01/2024

DATA SCIENTIST/DATA ENGINEER – MARKETING ORGANIZATION - DATA AND REPORTING TEAM 04/2015 – 01/2024

Spearheaded the development (in SQL) and release of a MarkeƟng dashboard that unified data across mulƟple sources to standardized metrics definiƟons, resulƟng in an 8% pipeline increase for FY 2023.

Leveraged Snowflake (SQL), Python, PL/SQL and SAS programming for data gathering, processing, and data quality checks for MarkeƟng ETL processes related to lead flow, customer and partner engagement, and metrics reporƟng, providing end-to-end process lifecycle in many projects. Reported on pipeline, bookings and engagement (this one using a points system). Used Google Cloud Plaƞorm for process automaƟon and orchestraƟng the data pipelines (and shell scripts for process sequencing, error detecƟon and handling)

Created and published machine learning models (w/Python) for account clustering, technology budget esƟmaƟon, and detecƟng at risk accounts based on integraƟons with internal and external data

Presented findings and conclusions that were clear to users of all skill levels, as well as measurable for the business.

Migrated MarkeƟng programs from SAS to Hadoop, then from Hadoop to Snowflake, all of these used SQL. Technologies: Snowflake (SQL), Python, Git, Bitbucket, Google Cloud Plaƞorm, Machine Learning, SAS, Shell, Asana, ETL DATA ARCHITECT – LATIN AMERICAN CUSTOMER INTELLIGENCE TEAM 08/2013 – 04/2015

Analyzed, designed, and built the LaƟn American Customer Intelligence Engine (CIE) (with SAS, Tableau and SQL) an integrated data plaƞorm supporƟng the storage and reporƟng of customer data for use in Sales and MarkeƟng iniƟaƟves.

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 effecƟvely convey CIE data to internal customers in a clear and concise manner, presenƟng the project upon compleƟon. Technologies: SAS, Tableau, SQL, MySQL, Salesforce.com, ERWin, Shell scripts, Jira DATA ANALYST – MARKETING IT/LATIN AMERICAN TEAM 08/2003 – 09/2013

Supported markeƟng managers in the execuƟon of campaigns inside and outside standard company systems related to data provision, lead rouƟng, and management.

Provided regular reports on campaign execuƟon effecƟveness 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, execuƟng rouƟne cleanup and improvement processes. The framework was built as stored procedures using SQL and PL/SQL; and used shell scripts for process automaƟon.

Created and implemented ETL processes for integraƟng contacts and transacƟonal data into the MarkeƟng database using InformaƟca PowerCenter

Technologies: SAS, SMCC ApplicaƟon and ReporƟng, CIC, SFDC, Shell scripts, Excel, LivePerson, SAP Business Objects Infoview, Quest TOAD, MS SQL Server, GnuPG, ETL, InformaƟca Power Center TECHNICAL PROFICIENCIES

Data Science Tools & Languages: Snowflake, SQL, Hive, Python, Git, Bitbucket, Docker, R, Google Cloud plaƞorm, SAS programming, Linux/UNIX, Shell scripƟng, Oracle PL/SQL, MySQL, HTML, Javascript, XML, End-to-End process, Asana, Jira, ETL processes with InformaƟca and SAS soŌware

Data VisualizaƟon: Tableau, Domo, PowerBI, Qlik

EDUCATION

Master of Science, Data Science, Indiana University Bloomington Bachelor of Science, Computer Science, University of Buenos Aires Tags: Data ScienƟst, 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 IntegraƟon, Data MigraƟon, Data VisualizaƟon, Big Data, Machine Learning, Deep Learning, Data Cleaning, Data Cleansing, Data Wrangling, Process MigraƟon, End-to-End Process, Business AnalyƟcs, Business KPI, Business KPIs, MarkeƟng AnalyƟcs, MarkeƟng KPI, MarkeƟng KPIs, Problem Solving, RelaƟonal Databases, Databases, Data Warehouse, Data Warehousing, Data Lake, Salesforce.com, SFDC, Computer Science, StaƟsƟncs, SnowFlake, SnowSql, SQL, SQL Query opƟmizaƟon, 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 Plaƞorm, Hadoop, Hive, SAS, InformaƟca Powercenter, ETL, Asana, Jira

Contact this candidate