Graduate student in Computer Science (Data Science & Machine Learning) at University of Regina. Research Assistant at Data Science Lab, University of Regina. With more than 6 years experience in industry and contributing in different projects including:
1. Search Engine and meta-search engine development, Applying NLP and IR methods, Leveraging distributed file systems, HDFS, Sql/NoSQL DBs, Kafka, restful APIs, JAVA/Python.
2. BlockChain monitoring system, developed ETL module using Python, Kafka and Hadoop file system.
3. Marketing and Customer analytics in Banking, design and developed customer behaviour analysis, customer lifetime value, segmentation and churn prediction, market basket analysis etc. using R, Python, PL/SQL and Oracle DBMS.
4. Customized and deployed a large-scale messaging application based on Actor Messaging Platform using Java/Scala for server side and Java/Android for client side.
Interested in Machine learning and data science technology with a thirst of learning and conducting research in interdisciplinary areas. Currently, doing my research as a member of Data Science Lab under the supervision of Dr. Alireza Manashty.
Data Scientist, Conducting research and developing NLP modules as an R&D member of Zarebin.ir’s team.
Participating in different projects including BlockChain Monitoring system, Marketing and Customer analytics for banking system, large-scale messaging solution etc.
Project manager and team member of a team of developers working on a meta-search engine tire of a knowledge base social network. we designed and developed a big data platform capable of handle and process large amount of data and user queries based on Java, HDFS, Hbase, Elasticsearch, Kafka and AeroSpike.
Activities: Research Assistant at Data Science Laboratory. Research in Privacy Preserved Machine Learning. Course work includes Machine Learning, Data Science Fundamentals, Data visualization.
Activities: Research Assistant at DAI and Multi-Agent System Laboratory. Research in Application of Multi-agent system in Smart Power grid. Course work includes Statistical Pattern Recognition, Machine Learning, Distributed Artificial Intelligence, Evolutionary Computing.