Yashodhan Athavale
Manager, Data Science @Harlequin
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WORK HISTORY
Manager, Data Science @Harlequin
Toronto, ON, CA
Lead and support analytics on projects of varying complexities, including post-campaign analysis/reports, ad hoc analysis, audience segmentation strategies and web analytics.• Support strategy for audience targeting, conversion and expansion by developing models, personas, forecasts, scores/indices to meet short/long term objectives/goals.• Use advanced analytics techniques on large data sets for the purpose of delivering ad hoc analysis and insights• Work collaboratively with Editorial, Marketing, Publicity and Sales and groups on cross functional projects and initiatives• With sales and marketing teams, utilize data sets to develop further insights into distribution efficiency and opportunities• Analyze and synthesize points of data and insights from marketing, publishing, sales and distribution to form a coherent and meaningful narrative that will inform publishing strategy and tactics• Creation of reports/presentations that are engaging, insightful and incorporate best practices in data visualization and storytelling• Extensive use of Google Cloud Platform – Big Query, Data Studio for developing in-house dashboards & visualizations for Harlequin’s POS data for online retail, DTC and Mobile App purchases.• Working with Amazon’s Vendor Central and Marketplace resources to develop data analytics reports and visualizations for internal stakeholders in sales & marketing.• Ideate and prototype new AI-based tools for optimizing publication process in Harlequin Brand group.
EDUCATION
Ryerson University
MASc, Electrical and Computer Engineering
Ryerson University
Doctor of Philosophy - PhD, Electrical & Computer Engineering
Visvesvaraya National Institute of Technology
B.Tech, Electronics & Communications Engineering
ABOUT YASHODHAN ATHAVALE
AI Manager with over 10 years of experience in developing and managing Data Analytics projects.• 5+ years of experience in designing and managing Data Science projects with end-to-end AI solution architecture development.• Experienced in managing cross-functional Business and Data Science teams in multiple AI-driven projects with focus on extensive teamwork, innovation, and a professional approach.• Responsible for extensive business development through networking events for bringing on-board new clientele for AI and Analytics solutions and services.• Experienced in conducting GTM related activities for various industry partners in AI projects by identifying context, challenge, capabilities and potential outcomes.• Expertise in defining and developing project scope, project plan by converting business requirements into potential AI/Data Analytics technology requirements.• Expertise in designing and managing project documentation including NDAs, requirements, scope, deliverables, timeline, contracts, resources, stakeholders, and budget.• Strong analytical and problem-solving skills in handling complex business issues for developing intelligent analytics solutions.• Ability to deliver high quality results on time and help in identifying and resolving any project issues• Skilled in creating project reports, presentations, technical documentation, solution offerings and analytical findings to executive audiences, business owners and other stakeholders.• Responsible for developing and conducting webinars & workshops on key topics in Data Analytics, AI/ML.• Over 2 years of experience of working in an Agile environment focused on MLOps with various version control applications such as Github and Gitlab.• Highly adept with data science techniques including Exploratory data analysis (EDA), Explainable Feature Engineering, Supervised methods – SVMs, Naïve-Bayes, Linear Regression, Regression, LDA, Decision Trees and Random Forests, Unsupervised methods – k-means clustering, kNN and principal component analysis (PCA), Reinforcement learning and Semi-supervised learning.• Inventor of 1 US/International Patent, and Author of 16 peer-reviewed publications.
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