Dijana Kosmajac, Ph.D
About Dijana Kosmajac, Ph.D
Dijana Kosmajac, Ph.D, is a Data Scientist at Dash Hudson in Halifax, Nova Scotia, with expertise in data science projects, natural language processing, and machine learning. She has a strong academic background and has contributed to peer-reviewed scientific literature while also teaching at Dalhousie University.
Work at Dash Hudson
Dijana Kosmajac has been employed as a Data Scientist at Dash Hudson since 2021. In this role, she focuses on designing and leading data science projects, particularly in the areas of specialized information retrieval systems and text analytics. Her work contributes to the development of advanced data solutions that support the company's objectives in Halifax, Nova Scotia, Canada.
Education and Expertise
Dijana Kosmajac holds a Doctor of Philosophy (Ph.D.) in Natural Language Processing and Machine Learning from Dalhousie University, where she studied from 2014 to 2020. She also earned a Master's degree in Computer Engineering from the Faculty of Technical Sciences Novi Sad between 2011 and 2013, and a Bachelor of Science (BS) in Computer and Information Sciences from the University of East Sarajevo from 2007 to 2011. Her academic background supports her expertise in data science and analytics.
Background
Before her current position at Dash Hudson, Dijana Kosmajac worked as a Senior Data Scientist (Post Doctoral) at Waterford Energy Services Inc. from 2020 to 2021. She also served as a Course Co-instructor at Dalhousie University for three months in 2020. Since 2021, she has been a Course Instructor at Dalhousie University, further contributing to the academic community while applying her data science skills.
Achievements
Dijana Kosmajac has been recognized for her excellence in communication, receiving above-average teaching evaluations. She has authored several peer-reviewed scientific papers, technical reports, and framework documents, demonstrating her contributions to the field of data science. Additionally, she has developed statistical models specifically for social media text analysis, showcasing her ability to apply data science techniques in practical scenarios.
Technical Skills
Dijana Kosmajac is highly skilled in utilizing big data frameworks, including Spark, Databricks, Elasticsearch, Kafka, and Airflow. These technical skills enable her to handle large datasets and implement complex data processing tasks effectively. Her proficiency in these tools enhances her capability to lead data science projects and contribute to innovative solutions in her field.