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Principal Software Engineer
Data scientist at AT&T who developed a copper-line truck-roll prediction model associated with $12 million in cost savings.
United StatesPrincipal Software Engineer at AT&T
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.
PythonSQLBigQueryBigQuery MLscikit learnSnowflakeOracleAzureRed HatAPIsCI CDMachine LearningGeospatial Analytics
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.
PythonBigQueryscikit learnPandasSQLSnowflakeAWSAzureLambdaAzure FunctionsETLCI CDData Migration
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.
PythonPostgreSQLPostGISPandasGeopandasDaskSparkAWSQGISETLGeospatial AnalyticsRF Signal Propagation
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.
PythonSQLBigQueryBigQuery MLscikit learnTime series ForecastingClassificationClusteringDeep LearningETLTableauPostgreSQLPostGIS
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.
PythonSQLETLSnowflakePostgreSQLTerraformAWSAzureAPI IntegrationData Migration
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 PropagationWireless NetworksCapacity PlanningForecastingDemographic AnalysisDrive Testinglink budgetFAA FCC Compliance
Master of Science degree from SUNY College at New Paltz.
Profile sourced from Himalayas.