Marjan Zamani
Business Intelligence Analyst @BC Energy Regulator
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WORK HISTORY
Business Intelligence Analyst @BC Energy Regulator
Support statistical reporting and analytics related to oil and gas regulatory activitiesAssist in tracking and reporting internal performance measures (KPIs)Write and modify SQL queries in Oracle to extract data for reporting purposesBuild and update Power BI reports and dashboards using Power Query and DAX
EDUCATION
Dalhousie University
Master's degree, Computer Science
Abrar University
Bachelor's degree, Information Communication Technology
SKILLS
ABOUT MARJAN ZAMANI
I’m a Data Analyst with experience in turning data into meaningful insights that help businesses make better decisions. I specialize in data storytelling, creating dashboards, and finding actionable solutions using Python, SQL, Excel, and Power BI.Transitioning from software testing into data analytics allowed me to leverage my skills in performance testing, data analysis, and automation to deliver impactful business insights. I\'m known for my collaborative approach, strong interpersonal communication skills, and ability to deliver results on time.I’m ready to take on my new challenge as a Data Analyst or BI Developer, where I can put my skills into practice to solve problems and drive business success. Let’s connect and see how I can add value to your team! My Background: 7+ years of experience working with financial, social media, and service logs data to extract insights and present them with concise reports and demos. My greatest strength is attention to detail and focus on data to answer business questions. 4 years of experience in a QA (Quality Assurance) position to define and automate test cases that verify product requirements. Contributed to decisions in the design of test frameworks and databases. Conducted code reviews, and improved and maintained the quality of the automation code. Participated in A/B test execution, issue identification, and troubleshooting in support of the release testing. 3 years of experience as a Machine Learning Engineer. Developed statistical models for Cash Flow Prediction in Python using machine learning techniques. Improved the accuracy of the predictive models by 10% by optimizing the set of hyper-parameters in Neural Networks. Used NLP (Natural Language Processing) techniques to extract insights from social media data and helped companies realize customers\' thoughts and opinions about their products.
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