Rohan Shete Email & Phone Number

Melbourne, Vic, Au

Melbourne, Victoria, Australia

At Recycled Tales, we believe in the power of storytelling and sustainability. As Co-Founder, I am dedicated to curating mystery book boxes filled with pre-loved books that offer both value and surprise. Our mission is simple—bring joy to book lovers while reducing the environmental impact of book consumption. - What We Offer: Customisable mystery book boxes (5, 10, and 20 books) that allow readers to discover new authors and genres. - Our Values: Sustainability, community support, and the joy of reading. We source all our books from non-profits and local communities, reinforcing our commitment to reducing waste and giving back. We use 100% home compostable packaging. - How We Stand Out: Every box we send out is a carefully curated collection of quality books, ensuring that every read is worth opening. Our project aligns with a growing movement to live sustainably and support eco-friendly initiatives. I’m thrilled to lead this journey and grow our community of readers who value both quality literature and sustainable living. Feel free to reach out if you’d like to learn more about our journey or collaborate on future opportunities!

Melbourne, Victoria, Australia

Melbourne, Victoria, Australia

Uplifting Sportsbet’s data science capabilities with successful management and delivery of entire project lifecycles in the Product Personalization and Safer Gambling domains.Developed an industry-first Real Time Intervention product in the Safer Gambling space to understand customer betting behaviors and model using Deep Learning techniques to intervene with problematic customers in real time.Building proprietary NLP solutions for Sportsbet in the SEO, Customer Service, Research and Recommendation domains. Leading speaker and contributor in global discussions on Safer Gambling and NLP in the gambling industry in the wider Flutter Group of companies.

Melbourne, Victoria, Australia

Teaching 'Introduction to Artificial Intelligence and its Responsible Use in Business' course to the Masters of Business Analytics cohort at Torrens University.Guiding students through their final trimester development projects in AI.Mentoring and guiding students to understand and explore the field of AI and ML with real-world examples and use case presentations.Guiding students to launch their careers in the AI and ML industry.

Australia

Melbourne, Victoria, Australia

Advisory to Year13, a leading career tools and counseling provider in Australia, to integrate and uplift their career tools proposition and boost productivity with Deep Learning and NLP products.Developed and implemented a first version of an AI career advisor tool to complement Year13’s online tools. Lead and managed a team of 2-3 software engineers to develop understanding of OpenAI’s transformer architectures to develop and implement chatbot capabilities within the company’s online offerings.

Australia

Advised this upcoming cybersecurity startup to formulate their go to market data strategy. Designed the data ecosystem for the client which consisted of implementing bespoke solutions to mine, compile and enrich a cybersecurity-centric proprietary knowledge base. Developed proof of concept solution for a generative and conversational deep neural network to help organisations mitigate and reinforce their cybersecurity gaps. Organised knowledge share and education sessions for nontechnical business stakeholders.

Sydney, New South Wales, Australia

This role has been around designing and implementing Data Science solutions, including Machine Learning Algorithms, constructing and maintaining Data Pipelines and Ad-hoc Investment Solutions, to build an automated framework for Investment Fund Research Ratings process for Lonsec. Stakeholder requirements gathering and management has been a pivotal part of the role. I have been involved in building the Natural Language Understanding, both Natural Language Processing and Natural Language Generation, architecture at Lonsec. Generated, deployed and maintained production-ready machine learning models on AWS scripted using R. Key highlights : • Predictive Analysis• Time Series Analysis• XGBoost• R Shiny and Highcharts• NLP and NLG• Unsupervised learning• MongoDB, InfluxDB, SQL• Supervised learning

Melbourne, Victoria, Australia

Co-authored and developed an Australia-first methodology for assessing Organizational culture with non-invasive, open-source, big data and machine learning techniques.Developed the version 1 of the Voop Cultural Analysis Tool (CAT) using Bi-directional Transformers and open-source organizational data on the Google Cloud infrastructure. Managed and guided a team of 4 data science interns to structure and deliver the research methodology around the Voop CAT . Organized and delivered workshops and educational sessions for external stakeholders and the public on the awareness of Deep Learning technologies emerging in the Organizational Culture space and the role of Big Data as an alternative to invasive survey-based methodologies.

Master'S Degree, Data Science

Activities and Societies: Member of the University Swimming Team Coursework: Practical Data Science, Introduction to Statistics, Data.

Bachelor Of Engineering - Be, Information Technology, 69% (First Class With Distinction)

Activities and Societies: Professional Swimming Team Captain. Coursework: Object Oriented Programming in Java/C++, Machine Learning, Data.