Responsibilities & achievements

- Conducted Descriptive and Inferential Analytics and Data Modeling for the Ad-Tech Industry, dealing with both structured and unstructured data. Proficient in feature engineering. - Developed ML models to enhance DSP external partner response rates and characterized response delays. Utilized tools such as Databricks MLflow, Snowflake, Lambda Functions, and S3 bucket interactions. - Strategically deployed ML models in a high-demand data streaming environment, utilizing A/B testing and Pyspark.

Responsibilities & achievements

- Anomaly detection, forecasting, and dynamic insight from customer surveys using Prophet. - NLP data processing and modeling, with a focus on the Word-cloud project. - Customer segmentation and product assignment utilizing clustering techniques. - Designing and implementing Data Products in Azure with a strong emphasis on DevOps.

Responsibilities & achievements

- Statistical analysis and exploration. Data Visualization with Python and Tableau. - Feature engineering, KPI design from raw data. Clustering, segmentation of network elements and end-customers. - Design and implementation of automatic data processing systems and integrations.

Responsibilities & achievements

- Data mining through SQL queries for customer experience insights on mobile and fixed networks. Report data visualization with Python libraries and Tableau. Data cleaning and integration with external systems. Data integrity analysis. - Network and end-user KQIs / KPIs failure analysis, signaling flows, and CS/PS GUL protocols. - Data mining through SQL queries for customer experience insights on mobile and fixed networks. Report data visualization with Python libraries and Tableau. Data cleaning and integration with external systems. Data integrity analysis.