Gayatri Kanala
About Gayatri Kanala
Gayatri Kanala is a Manager of ML Analytics at Delivery Hero in Berlin, Germany, with over 9 years of experience in data science and machine learning.
Current Role at Delivery Hero
Gayatri Kanala currently serves as a Manager of ML Analytics at Delivery Hero in Berlin, Germany. She leverages over 9 years of experience in data science, focusing on machine learning and analytics to drive insights and enhance business decision-making. Her role includes the application of various algorithms and Big Data technologies to optimize processes and outcomes.
Previous Experience at Vendo Services
Gayatri Kanala previously worked as a Data Scientist at Vendo Services from 2020 to 2021. In this capacity, she specialized in analyzing and processing data to extract valuable insights. This one-year role contributed to her extensive experience in data science and analytics, further enriching her expertise in the field.
YouTube Channel and Mentorship at Springboard
In addition to her corporate roles, Gayatri Kanala is actively involved with YouTube as a content creator. She also mentors at Springboard, where she guides aspiring data scientists and analysts. These roles highlight her commitment to sharing knowledge and fostering the development of future professionals in data science and analytics.
Education and Academic Background
Gayatri Kanala holds a Bachelor of Engineering (BE) in Electronics and Telecommunications from the University of Pune, obtained between 2008 and 2012. She completed her pre-university education at Kendriya Vidyalaya, focusing on Physics, Chemistry, and Mathematics (PCM). This solid technical foundation has supported her successful career in data science and analytics.
Technical Skills and Expertise
Gayatri Kanala possesses strong expertise in various machine learning and analytics techniques. She is experienced in classification algorithms like Random Forest, Chaid, and Logistic Regression, as well as Linear Regression, Clustering, Time Series Forecasting, Cosine Similarity, and TF-IDF. Additionally, she has substantial knowledge of Big Data technologies such as Hadoop, Hive, Docker, and AWS, and has built chatbots and search engines utilizing Natural Language Processing and information retrieval models.