Matineh Kashani
*******.*******@*****.***
Tel: (604) -442 -7150
Work Authorization: Canadian Citizen
Work Experience
Data Engineer
REEF Technology, Vancouver, BC February 2019 – Present
(AWS, Python, SQL, Redshift, S3, Spark, Hive, Cloudera, Airflow, Git, Jira) Collaborate with Data Science, Business Intelligence, Data Analytics, Product Management and DevOps teams:
• Write code and design ETL pipeline architecture
• Build pipelines that support the ingestion, analysis, and enrichment of data
• Improve the existing pipeline to increase the throughput and accuracy of data
• Identify areas of automation opportunities and implement improvements
• Work with the Product Manager to map general accounting concepts to the internal data models in a repeatable and precise fashion
• Analysis of data models and schemas, and work with other engineering staff to recommend extensions and changes
• Use investigative tools and database queries to automatically flag irreconcilable data within production datasets
Database Developer
BGC Engineering Inc, Vancouver, BC August 2018 – January 2019
(Python, SQL, Power Bi)
Collaborated with Human Resources, Accounting and Software Engineering teams:
• Designed, developed and upgraded the HR system
• Worked on both back-end database MSSQL and the interface dashboard
• Developed queries and/or gathering data from various sources; in addition, interpret the data to provide value added analysis
• Provided support for business process integrity to ensure ongoing employee information accuracy and makes recommendations for process enhancements and improvements by researching methods to continue to automate and streamline processes
• Worked on gathering, identification, documentation and tracking of business requirements and processes
Software Support Engineer/Analyst
CERTONA, San Diego, CA June 2016 – July 2018
(AI – based personalized product recommendation engine software application (SaaS) running on top E-commerce sites)
Collaborated with Client Services, Data Science, Business Intelligence and Analytics teams:
• Performed tasks associated with receiving, processing, modifying, and troubleshooting XML and text-based product catalog feeds from clients and loading data into client specific SQL Server databases
• Worked on writing rules as stored database procedures (T-SQL) to receive data requests and filter appropriate responses in a client server architecture
• Created various forms of complex XSLT transform files in a format that can be used for JSON and web services implementation method to render recommendation boxes on client webpages
• Wrote and modified codes in JavaScript/jQuery and troubleshooting HTML, CSS and JavaScript issues in regular web and mobile environments
• Provided Analysis on client’s implementation and create tagging instruction according to their method of implementation
• Provided technical guidance to technical and non-technical teams and clients Software Support Engineer/Analyst
ECHO, A HealthStream Company, San Diego, CA December 2015 - May 2016 Collaborated with Customer Service, Application Support and Data Analytics teams:
• Analyzed and developed SQL scripts to perform transfer of data from client data sources to company software products
• Write and modify stored procedures and triggers using Microsoft SQL Server
• Created, modified, tested and troubleshot portal pages using SQL, JavaScript/jQuery, VB Script, ASP and HTML/CSS
• Worked with clients during the implementation of all software products, including troubleshooting, Updating, Upgrading and Installing proprietary software on client’s environment
• Worked with multiple departments as necessary to ensure the successful execution of data transfer and software implementation projects to provide a positive experience for clients Researcher (Machine learning and Data mining)
California State University, CSUSM, San Diego, CA September 2014 – May 2015
(Data Mining on Healthcare Data, Machine Learning, Evolutionary Algorithms, Python) Managed and led a team of software engineers and data scientists to research and deliver the project in the field of Bioinformatics and Drug Discovery resulted in two published papers:
• Researched and analyzed linear and non-linear machine learning models to create the QSAR model that can lead to the most accurate prediction of drug performance
• Researched on evolutionary algorithms as feature selection technique for QSAR modeling. Specifically researched on hybrid Differential Evolutionary - Binary Particle Swarm optimization algorithm to improve HIV-1 Integrase inhibitors prediction
• Developed the back end of an interactive System to perform linear and non-linear machine learning modeling with variety of evolutionary algorithms using Python, Django Web Framework and implemented a repository database by PostgreSQL Education
Master of Computer Science, MSc (Machine learning and Data mining) California State University, San Marcos, CA 2013 – 2015 Certificate of Technology in Software Systems Development British Columbia Institute of Technology, Vancouver, BC 2010 – 2011 Bachelor of Computer Sciences and Software Engineering, BSc Tehran Azad University 2004 - 2008
Publications
• IMPROVING THE FEATURE SELECTION FOR THE DEVELOPMENT OF LINEAR MODEL FOR DISCOVERY OF HIV-1 INTEGRASE INHIBITORS
ABDA'15 - THE 2ND INTERNATIONAL CONFERENCE ON ADVANCES IN BIG DATA ANALYTICS. LAS VEGAS, NEVADA. JULY 2015
• IMPROVING PHARMACOLOGICAL RESEARCH OF HIV-1 INTEGRASE INHIBITION USING DIFFERENTIAL EVOLUTION-BINARY PARTICLE SWARM OPTIMIZATION AND NON-LINEAR ADAPTIVE BOOSTING RANDOM FOREST REGRESSION
16TH IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION AUGUST 2015. SAN FRANCISCO, CALIFORNIA
References are available upon request