David P.

Key Skills

Software

No software listed

Top Subject Matter

Audience intelligence

predictive audience scoring

attribute mapping for automotive advertising

Top Data Types

Text

Top Task Types

Data Collection

Segmentation

Freelancer Overview

Senior Data Analyst (Audience Science) - Omnicom Media Group. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Master of Business Administration, Sankara College of Science & Commerce (2023) and Bachelor of Business Administration, Cheran Arts Science College (2020). AI-training focus includes data types such as Computer Code, Programming, and Text and labeling workflows including Data Collection and Segmentation.

Labeling Experience

Senior Data Analyst (Audience Science) - Omnicom Media Group

TextSegmentation

Led audience intelligence, predictive audience, and decision science for automotive clients, building predictive segmentation models, custom audience scoring, and attribute-mapping frameworks to improve targeting efficiency and activation speed. Ingested and structured new audience and behavioral data sources, mapping attributes into standardized taxonomies to enable consistent scoring and activation across platforms. Architected backend scoring and ETL/ELT pipelines using SQL, Python, dbt, Airflow, and orchestration tooling while ensuring data modeling, lineage, governance, and high uptime. • Built predictive audience models and attribute-mapping frameworks • Developed production scoring and transformation pipelines on Snowflake, BigQuery, and Databricks • Standardized reusable scoring/feature engineering modules for model-serving workflows • Led an 8-person cross-functional team from architecture through production deployment and reporting

2025 - Present

Senior Data Analyst — Data Science, Omnicom Media Group (OMG/OGM/OGS) (Aug 2025 – Present)

Data Collection

Led audience intelligence and predictive audience work by designing and implementing data ingestion and transformation workflows for behavioral and audience sources used in custom audience scoring. Mapped 50+ attributes into standardized audience taxonomies to produce consistent labeled features for segmentation, scoring, and activation across multiple platforms. Designed backend scoring and ETL/ELT pipelines that enforced data modeling, lineage, quality, and governance standards to ensure reliable training and inference inputs. • Built custom SQL-based data loads and transformation workflows for new audience and behavioral data sources • Standardized attribute mappings for 50+ attributes into unified audience taxonomies • Processed 2M+ records/day with 99.5% uptime while maintaining governance and data quality • Extended internal Python libraries with reusable modules for audience scoring and model-serving workflows

2025 - Present

Senior Data Analyst — Team Lead, David Protocol (Aug 2023 – Jul 2025)

Data Collection

Owned analytics lifecycle responsibilities that included structuring governed data models and automating ETL/data-integration workflows used to build reporting datasets for stakeholders. Built and maintained dashboards and recurring reporting that integrated multiple external marketing measurement sources into unified views for decision support. Reduced manual reporting workload through automated integration pipelines using Python, SQL, SAS, and Airflow, enabling consistent labeled KPI datasets for operational and executive use. • Led a team across requirements gathering, data modeling, governance, dashboarding, and stakeholder reporting • Built 10+ executive dashboards integrating Adverity, Nielsen, MRI, ComScore, GfK, and Simmons data • Automated 12+ ETL and data-integration workflows to cut manual workload and discrepancies • Mentored junior analysts and established code/quality review practices to improve delivery consistency

2023 - 2025

Data Operations & Marketing Operations Executive, Spa Fashion (2020 – 2023)

Data CollectionSegmentation

Managed CRM and customer database operations for multiple retail chains, including customer list building, segmentation, de-duplication, validation, and reporting for large customer datasets. Performed customer analysis on purchase patterns and segments and produced outputs that supported targeted campaigns and promotional planning. Coordinated digital marketing operations by curating audience lists and campaign inputs across online and offline channels to support accurate targeting and tracking. • Built and automated retail KPI reporting (sell-through, stockouts, reorder signals) for marketing and merchandising • Performed segmentation and validation of 25,000+ customer records for downstream marketing use • Generated insights driving 15+ targeted campaigns and promotional plans • Ensured high-value segments were accurately targeted and campaign results were tracked and reported

2020 - 2023

Education

Work History