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glen Ossman

@glenossman

Data scientist at AT&T who developed a copper-line truck-roll prediction model associated with $12 million in cost savings.

United States

Message

At AT&T, I developed a Python machine learning model to predict when legacy copper-line work could avoid a truck roll, with $12 million in cost savings to date. I also developed models for predicting unrecorded fiber routes and replacing ArcGIS Streets with address lookup using U.S. government street data.

At U.S. Cellular, I developed forecasting and predictive analytics for wireless capacity planning, customer behavior, pricing, and network investment. My work has also included migrating 100+ client databases from Oracle to Snowflake at INOVALON / COMPLEX CARE SOLUTIONS and building geospatial ETL workflows for wireless analysis at CHARTER COMMUNICATIONS INC.

Experience

Work history, roles, and key accomplishments

Principal Software Engineer

AT&T

Jun 2024 - Aug 2026 (2 years 2 months)

Developed and supported data analytics and machine learning solutions using Python, SQL, BigQuery, and scikit-learn across high-volume telecommunications and geospatial data environments. Led operational optimization and standardized automation, CI/CD pipelines, and security controls.

Python SQL BigQuery BigQuery ML scikit learn Snowflake Oracle Azure Red Hat APIs CI CD Machine Learning Geospatial Analytics

Principal Software Engineer

Inovalon / Complex Care Solutions

Apr 2022 - Jun 2024 (2 years 2 months)

Developed Python-based data and machine learning workflows using BigQuery, scikit-learn, Pandas, SQL, and Snowflake to process and analyze large client datasets. Migrated 100+ client databases from Oracle to Snowflake and built CI/CD pipelines across AWS, Azure, and Snowflake.

Python BigQuery scikit learn Pandas SQL Snowflake AWS Azure Lambda Azure Functions ETL CI CD Data Migration

Specialized Wireless Architect IV

Charter Communications Inc.

Feb 2021 - Feb 2022 (1 year)

Developed Python-based data processing and ETL workflows supporting wireless RF simulation, CBRS analysis, and large-scale telecommunications datasets. Built custom ETL workflows and integrated geospatial datasets for network planning.

Python PostgreSQL PostGIS Pandas Geopandas Dask Spark AWS QGIS ETL Geospatial Analytics RF Signal Propagation

Senior Capacity Engineer / Data Scientist

U.S. Cellular

Sep 2014 - Feb 2021 (6 years 5 months)

Developed and deployed machine learning and predictive analytics solutions using Python, SQL, BigQuery, and scikit-learn to support wireless capacity planning, customer analytics, and business forecasting. Built time-series forecasting, classification, clustering, and deep learning models.

Python SQL BigQuery BigQuery ML scikit learn Time series Forecasting Classification Clustering Deep Learning ETL Tableau PostgreSQL PostGIS

Independent Contractor

Ossman Consulting Group

Jan 2007 - Sep 2014 (7 years 8 months)

Developed Python and SQL solutions supporting software delivery, data processing, recurring automation, and client technology projects. Built ETL pipelines and data migration solutions across Snowflake and PostgreSQL environments.

Python SQL ETL Snowflake PostgreSQL Terraform AWS Azure API Integration Data Migration

Senior Capacity Engineer / Senior RF Engineer

U.S. Cellular

Feb 2001 - Jan 2007 (5 years 11 months)

Developed wireless network capacity plans and forecasting models to support network expansion and site planning. Performed demographics analysis and prepared drive-test packages for candidate evaluation and zoning.

RF Signal Propagation Wireless Networks Capacity Planning Forecasting Demographic Analysis Drive Testing link budget FAA FCC Compliance