About Page
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Welcome to Tatev Karen Aslanyan’s Data Science World
ABOUT ME
Tatev is a highly skilled data scientist with expertise in econometrics, machine learning,artificial intelligence, and natural language processing (NLP). With a strong background in mathematics and statistics and a passion for solving complex problems, Tatev is dedicated to providing valuable insights, building innovative solutions and delivering exceptional results.
CAREER JOURNEY
Tatev’s career journey is marked by significant milestones and accomplishments. She has held various roles, including her current position as a Data Scientist & Software Developer at Arcurve Inc., where she applies machine learning, data engineering and AI for corporate clients. Previously, she excelled as a Data Scientist III at RELX/Elsevier, coordinating diverse data science projects and making substantial contributions to the Recommender Systems and Search Engine department of RELX.
EDUCATION
Tatev’s academic background is impressive. She holds a Master’s degree in Econometrics and Management Science from Erasmus University Rotterdam and a Bachelor’s degree in Econometrics and Operations Research from Tilburg University. Throughout her academic journey, Tatev demonstrated exceptional performance, graduating in the top 10% of her class.
NOTABLE ACHIEVEMENTS
Tatev’s notable achievements in data science demonstrate her expertise and impact in the field. Her personal projects, scientific publications in NLP and AI, conference presentations, technical blogs have made significant contributions to data science community. These include the development of a scalable hybrid recommender system that leverages product ratings and reviews, a deep learning pricing model that accurately predicts stock prices, modeling customer churn rates using artificial neural networks.
LINKEDIN PROFILE AND GITHUB PORTFOLIO
Connect with Tatev on LinkedIn to explore her professional network and engage with her expertise. Her LinkedIn profile showcases her skills, experience, and recommendations. Visit her GitHub portfolio to discover her data science projects, case studies, and research papers. Organized into categories, her GitHub portfolio highlights key projects that showcase her expertise in data science.
RESEARCH PAPERS AND ACM SIGAPP CONFERENCE PRESENTATION
Tatev’s research papers focus on improving recommender systems and their practical applications. Her work addresses specific challenges and introduces innovative approaches. Summaries of her research papers provide insights into the potential benefits her findings offer to businesses and users. If available, provide links or access to the full research papers or the conference presentation for visitors interested in further exploration.
