Nina (Narges ) Haghighati
About Nina (Narges ) Haghighati
Nina (Narges) Haghighati is a Data Scientist at TELUS in Toronto, Ontario, Canada, with a background in AI, data science, and educational consulting.
Current Role at TELUS
Nina (Narges) Haghighati currently holds the position of Data Scientist at TELUS in Toronto, Ontario, Canada. In her role, she develops machine learning models to predict financial market trends and mentors junior data scientists. Haghighati focuses on advanced techniques in machine learning and data visualization to drive data-driven decision-making processes.
Previous Roles and Experience
Before assuming her current role at TELUS, Nina Haghighati served as an AI Specialist at the same company from 2021 to 2023. She has also worked as a Data Scientist at Plant8 from 2020 to 2021 and held a position as an Assistant Instructor at the University of Toronto School of Continuing Studies Boot Camps in 2021. Her diverse experience includes roles such as Educational Consultant at Sneeds, Research and Teaching Assistant at York University, and Research Assistant at Amirkabir University of Technology.
Educational Background
Nina Haghighati earned her Master’s degree in Computer Engineering from York University- Lassonde School of Engineering, where she studied from 2019 to 2021. She also holds a Master of Science (M.S.) in Electrical, Electronics, and Communications Engineering from Amirkabir University of Technology - Tehran Polytechnic, completed in 2018. Additionally, she achieved her Bachelor of Science (B.S.) in Electrical and Electronics Engineering from the University of Isfahan in 2015.
Research and Publications
Nina Haghighati has contributed significantly to academic research. She published an article on implementing unsupervised machine learning algorithms for financial data analysis in a peer-reviewed journal. She has also presented a paper on the application of reinforcement learning in financial markets at a national conference. Her contributions include participation in open-source projects related to data cleaning and ETL processes.
Notable Achievements and Projects
Among her notable achievements, Nina Haghighati developed a machine learning model for financial market predictions during her tenure at TELUS. She also participated in a TELUS-organized hackathon where her team won first place for developing an innovative data-driven solution. Additionally, she has volunteered as a guest lecturer at a local university, teaching advanced SQL concepts and database management.