Described as “a violent test of morality and humanity”, the premise of hit South Korean Netflix series Squid Game, which generated almost US$900 million in value for the company, revolves around debt-ridden players enlisted to compete in a series of 6 childhood games.
While there may not be any obvious linkages between the gory scenes and managing data projects, the TV series does offer deeper points of reflections around both the soft and hard skills that can be used to drive successful outcomes in your data projects.
Join us to hear creative takes on 6 practical lessons we can pick up from each of the 6 games depicted in the immensely popular drama and how they can be applied to overcome challenges in your next data project.
Date: 13 October 2022, Tuesday
Time: 2pm to 5pm
Location: IMDA PIXEL Seminar Room (Level 2), 10 Central Exchange Green, Singapore 138649
Seat are limited.
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Presenting Partner: Analytico Asia
Analytico Asia is a Singaporean data company that focuses on simplifying data automation through the implementation of affordable and customisable data services to SMEs and local teams of MNCs that have limited budgets, time, and/or data expertise. Our team specialises in using data and technology to minimise manual data analysis and maximise, ultimately helping our clients achieve up to 50% savings in costs and time.
2.00-3.00pm: 6 practical tips for managing data projects
3.00-4.00pm: Sharing on managing past data projects
4.00-5.00pm: Hands-on discussion on creating a data project workflow template
Kishan is a seasoned data professional with a proven track record across Data Mining, Data Science, Data Analytics, Data Visualisation, and Digital Marketing.
He is also highly skilled in using data and technology to increase profitability and time savings for Asian brands including Singtel, Globe Telecom, Shangri-La Hotels and WeMall.
He has worked for 4 of the world's leading MarTech agencies: Amobee, Golin, Datalicious, and Socialbakers. Throughout his career, he has managed hundreds of digital campaigns and built several digital teams from ground-up, working with a diverse portfolio of local and global companies – including some of the world’s biggest brands: McDonalds, Sony, Prudential, Volkswagen, and Cartier.
Kishan also has extensive hands-on experience in Data Science where he has worked with E-Commerce and FMCG clients to build Machine Learning models to enhance the performance of product recommendation engines and drive profitability of product bundles among other areas.
He has also previously worked as a data scientist, automating data extraction from Weibo and Taobao to measure the impact of online retailers' social media marketing strategies on consumer engagement and sales performance using quantitative methods including random-effects panel regression.
Throughout the past decade, Kishan has also worked on other interesting Data Science projects including a predictive modelling app which allows users to find the number of parking lots at their destination for a given location and time slot. He also built an innovative sentiment analysis model for a software company to evaluate their customer satisfaction rate using data extracted and automated from customer support tickets.
Kishan's experience has also centred around managing business growth and day-day operations for data-driven marketing start-ups in Asia. Having built and led several high-performance digital teams and programs in the past decade, Kishan combines management experience with deep subject matter expertise across business analytics, data science and digital marketing
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