Anita Kouhestanian
About Anita Kouhestanian
Anita Kouhestanian is a Data Analyst at QuEST Global with a background in computational informatics and chemical engineering. She has experience in data science, machine learning, and research, and actively mentors aspiring data scientists.
Current Role at QuEST Global
Anita Kouhestanian currently serves as a Data Analyst at QuEST Global. In this role, she focuses on analyzing large datasets to improve operational efficiency. She has also developed a machine learning model that predicts equipment failures, which led to a 15% reduction in downtime. Additionally, she participated in and led her team to a second-place victory in a hackathon organized by QuEST Global.
Previous Experience in Laboratory Settings
Anita Kouhestanian gained practical experience in laboratory settings during her tenure as a Laboratory Technician at Apex Systems. She worked at this position for four months in 2020, based in Houston, Texas. This role allowed her to gain essential skills and knowledge that later benefited her data analysis work.
Research Positions at University-Level Institutions
Anita has held research assistant positions at multiple universities. From 2019 to 2020, she worked as a Research Assistant at the University of Houston. Prior to that, she served as a Research Assistant at the New Technologies University of Quchan from 2015 to 2016. Both positions allowed her to develop her research skills and contribute to academic projects.
Educational Background and Training
Anita Kouhestanian holds multiple degrees in scientific fields. She obtained her Bachelor's degree in Chemical Engineering from the New Technologies University of Quchan. She then pursued a Master’s degree in Computational Informatics at the University of Houston, completed between 2018 and 2020. Additionally, she attended The Data Incubator's Data Science Fellowship Program in 2021, further honing her data analytical skills over an 11-month period.
Technical Proficiency and Skills
Anita is proficient in programming languages such as Python, R, and SQL. Her technical focus includes data visualization and statistical analysis. She regularly employs these skills in her work to draw insights from complex datasets and make data-driven decisions. Her proficiency has been instrumental in her contributions to various projects and her ability to mentor aspiring data scientists.
Contributions to the Data Science Community
Anita actively contributes to the data science community. In 2022, she presented a paper on data-driven decision-making at a national data science conference. Additionally, she volunteers as a mentor for aspiring data scientists through an online mentorship program, sharing her expertise and helping to develop the next generation of data professionals.