Mohsen Lotfizad

* Boost Operation Team performance by providing an online Demand Report based on big data platform using Spark, Kafka, ClickHouse, Logstash and Filebeat. * Equip Fraud Detection Team with a Pandas based application, which detected 20 suspicious categories. * Helped the Marketing Team with a predictive LTV (lifetime value) which has 87% accuracy using Random Forest. * Enhanced SSAS BI platform by ETL (extract transform load) data to SqlServer as the warehouse using standard SQL, Pentaho Kettle and Python.

Designed multi-tier framework, which has been derived from the Clean Architecture. The framework is based on Pyramid, SQLAlchemy and Json-RPC and is API for presentation layer (Angular-JS). Developed a knowledge base system of applicable use cases on Iran’s Exchange Market.

Managed a team of five software engineers using Agile Methodology and YouTrack to pioneer an $14M automatic fare collection project which facilitated cab fare payment in Isfahan. Designed and developed a data pipeline using technologies: Apache MINA, Hibernate, MySQL, RabbitMQ, Java, Spring Framework, Oracle DB, SOAP and REST web services. Set up Zabbix to monitor the system, which has been consisted of 15 local servers.

Tracked project progress, defined deliverables and pursued project issues in weekly meetings alongside clients’ project supervisor who were mostly board members. Analysed and developed an automation system for issuance and loss for various insurance companies using java technologies: AppFuse, Spring Framework, Hibernate and JSF. Suggested features and workflows to Clients’ managers and senior staffs.