Farid Alborzi

Principal Data Engineer @Fidelity Investments

Raleigh, NC, US
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Dec 2022 — Present

Principal Data Engineer @Fidelity Investments

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Raleigh-Durham-Chapel Hill, NC, US

EDUCATION

2005 — 2009

Amirkabir University of Technology - Tehran Polytechnic

Bachelor of Science (B.Sc.), Industrial Engineering

2012 — 2016

North Carolina State University

Master of Science - MS, Co-majoring in Computer Science and Industrial Engineering

2009 — 2011

Amirkabir University of Technology - Tehran Polytechnic

Master of Science (M.Sc.), Industrial Engineering

SKILLS

GateDbmsNosqlPythonAlgorithm DesignLatexMathematical ModelingMicrosoft WordMicrosoft ExcelMatlabExtract, Transform, Load (Etl)MathematicaResearchMachine LearningWeb CrawlingAmazon Web Services (Aws)Microsoft PowerpointData VisualizationTableauStatistical ModelingData WarehousingVerticaWeb ScrapingSimulationsMongodbJavaData ModelingData AnalysisAlgorithmsData WranglingNatural Language ProcessingC++Sentiment AnalysisOperations ResearchAlgorithm AnalysisBig Data AnalyticsStatisticsCloud ComputingMicrosoft OfficeDatastream

ABOUT FARID ALBORZI

SUMMARY- Looking for Data Engineer, Data Analyst, Data Scientists, and Software Developer positions | worked at CITADEL LLC, MERCK, and EPA | Skills: Web Crawler/Scraper Developer, Data Analysis, Statistics, Java and Python Programming, Data Warehousing, ETL | Traits: adaptable, self-reliant, team player, energeticSPECIALTIES- Data Analytics- Database Management Systems- Data Modelling- Data Ingestion- Web Scraping- ETL- Data Visualization- Recommendation Systems- Sentiment Analysis and Opinion Mining- Information Extraction and Text Mining- Text Processing- Design and analysis of algorithms- Data Stream Analytics- Operations ResearchCURRENT WORKS- Communicating data stories with financial analysts and portfolio managers through employing data visualization in Tableau and matplot to help them to understand their business problems and leaded them to utilize data by providing insights and recommendations- Sentiment Analysis and Opinion Mining: We are designing and implementing an opinion mining system to extract the composing elements of an opinion in an opinionated sentence. Natural language processing tools along with lexicon-based and machine learning techniques are employed in this project. As a use case, the 2016 presidential election has been investigated through analyzing web newsletters to find the opinion of candidates on different issues such as Gun Control, Affordable Care Act, Homeland Security, etc. which supports a decision making model-Data Readiness Level: evaluating and improving the quality value of data to address tasks through incorporating a database and a knowledge base-SmartViz: smart visualization of a data slice based on users\' current state and historical behavior in working with a data visualization software

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Farid Alborzi — Principal Data Engineer at Fidelity Investments in Raleigh, NC, US | Unifers