• Experience with Machine Learning models, Time series prediction, Regressions, Recommended Systems.
• Building Serverless Architecture for Big Data, and Data Lake using Amazon Athena, Amazon EMR, Amazon Kinesis and spark.
• Build snowflake data warehouse & data pipelines for snowflake.
• Good working knowledge on AWS console and CLI which includes Kenisis ,sagemaker and lamda.
• Experience working with customers, translating business problems to ML problems and explaining results.
• Good knowledge on Text Mining and dimensionality reduction.
• Having experience in developing a streaming data pipeline using Kafka, spark to store data to HDFS.
• Building machine learning algorithm for anomaly detection
• Excellent understanding and experience with REST APIs
• Experience with container Docker
• working knowledge of GIT source control management system
• debugging Scala pipelines. Airflow data pipeline orchestration.
• CI/CD approach for deployment.
• Experience with Machine Learning models, Time series prediction, Regressions, Recommended Systems.
• Building Serverless Architecture for Big Data, and Data Lake using Amazon Athena, Amazon EMR, Amazon Kinesis and spark.
• Build snowflake data warehouse & data pipelines for snowflake.
• Good working knowledge on AWS console and CLI which includes Kenisis ,sagemaker and lamda.
• Experience working with customers, translating business problems to ML problems and explaining results.
• Good knowledge on Text Mining and dimensionality reduction.
• Having experience in developing a streaming data pipeline using Kafka, spark to store data to HDFS.
• Building machine learning algorithm for anomaly detection
• Excellent understanding and experience with REST APIs
• Experience with container Docker
• working knowledge of GIT source control management system
• debugging Scala pipelines. Airflow data pipeline orchestration.
• CI/CD approach for deployment.

• Collaborative Filtering based bill plan Recommendation.
• Credit Risk Modeling using Random Forest and Boosting.
• Experienced in working with Apache eco system using Hadoop, spark streaming, Spark SQL queries on different formats structured and semi structured like Text file, JSON CSV, ORC file formats.
• Developed SPARK SQL Queries on logs to perform a trend analysis of user behavior on various MTN app modules.
• processing JSON events with spark and transforming data from MTN App and feeding aggregates to ML models.
• Experienced in NoSQL databases and SOA
• Hands-on experience in using message brokers such asSNSandRabbitMQ. Distributed task queue systems
• Feature engineering, feature scaling, Categorical Variables — One-Hot Encoding and splitting data.
• Proven ability to excel within an "agile" environment.
• Customer Segmentation and customer chum based on Service Usage Behavior using K-means Algorithm. Data collected from xDR using features Calls, SMS, Data, Location of mobile generator.
• Building SOA services.

Application Architect

Application Consultant