Sep 19
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Overview of the event

Visualization is both an art and a science, in general terms it describes any effort to help people understand the significance of data by placing it in a visual context. A primary goal of data visualization is to communicate information clearly and efficiently via statistical graphics, plots and information graphics.

We intend to give a platform for users across all the various domains of data analysis to share their experiences, techniques, opportunities, challenges and exciting possibilities as well as highlight the most triumphs and potential pitfalls

Visualization Conference in Singapore will bring together industry professionals and thought leaders from the field of Visualization and Data Analytics. It will help you in understanding and implementing data visualization in your business/for your client. It will also provide an excellent opportunity to interact and network with some of the top minds.

Facts & Figures About The Event

7 Speakers
7 Topics
50 Tickets

Conference Schedule

Visualization Day, Singapore
X Topic Abstract

X Topic Abstract

We are going discuss about some of the visual landscape to compare different environments. The concepts around which visual and based on how you decide which visual to use when. I will share some of the interesting visuals using plotly, jupyter and d3 etc.

Speaker Profile

Harsha has a decade of work experience in analytics / data sciences with multiple organizations across different verticals such as Semi conductors, Aviation, Pharma and analytics consulting firms. Harsha is an active industry mentor role with Great Lakes-BACP / Upgrade IIITB data science training institutes. He has rich experience to resolve complex business problems with data sciences, NLP, statistical modeling, Machine learning, risk management, optimization and Business intelligence.

X Topic Abstract

Social media is a prevalent and dominant source of information and also the propagation of information as scale covering the entire geography. There is business impact of certain events and social media can be used effectively to monitor and take mitigating the risk which may have an impact on the business. The supply chain disruptions cause globally 4 Bn dollar and only 3 major types events cause them are Extreme Weather, Natural Calamities, Geo-political Unrests, etc. We will see how an event cascades through the network of a series of events which may have a serious business impact and how to mitigate or minimize proactively with the information prior at hand. The information mining requires natural language processing and machine learning and AI technologies and visualizing the information holistically on the map as it happens.

Speaker Profile

Kumar Hemant, is a seasoned data scientist with over 13+ years of experience in Data Science &, Business Analytics, ML & AI and Software Engineering. He holds master in mathematics & computing from IITG and working with Samsung DMC R&D Seoul Campus. Previously he has worked with Jülich Supercomputing Center, Germany; Infosys Labs (SET Labs) Bangalore; and IBM Research Singapore.
Hemant, a recipient of prestigious Helmholtz-DAAD scholarship, has 6 research/technical papers and 3 patents to his credit.
Hemant is an avid mountaineer and have scaled two virgin peaks in the Himalayas (5300m/17600ft) in the vicinity of Adi Kailash / Ohm Parvat. Also trained in Hindustani classical Violin, in his leisure loves playing mouth-organ.

X Topic Abstract

Big Data Analytics has been a buzzword for Organizations quite few years to enhance their business functions by enabling advanced analytics to improve their capabilities. It all started with Hadoop, a well tamed Elephant who could easily carry the heavy work logs and process to fulfill their Business requirements, with fellow animals working with Giant Creature added more capabilities and introduced new functions like real time integration, analytics and visualization.

AWS reinvented the Big Data Analytics with capabilities like EMR and whole new ecosystem components like Athena, Cloud Search, Elastic Search, Data Pipeline, Redshift, Glue, ElastiCache, Lambda, Neptune, Kinesis, IOT, DynamoDB, Machine Learning, Deep learning, QuickSight, and Data Lakes. AWS with its Global infrastructure and varied services (IaaS, PaaS, and SaaS) extends the big data capabilities across various regions and availability zones support Major companies like Netflix, NASA, Yelp, etc.

AWS built on 5 architecture Pillars with its infrastructure capabilities, Devops capabilities, and other ecosystem components designing, provisioning and enabling big data analytics at click of a mouse more securely and efficiently.
Let’s Understand Why Enterprises invest in AWS to realize value.

Speaker profile

Being a TOGAF 9 Certified Architect with around 21 years of IT experience, currently working as a Senior Cloud Architect with Orange Cloud Business International involved in various roles around Advisory, Solution Pre Sales, Implementation of End to End Architecture both on-premises and on Cloud, Lead Implementations, Proof of Concepts and Designing Solutions around Big Data Analytics, MDM, SOA, EDW, Data Lakes, BI, OLTP Applications, Data Science, Machine Learning, Cognitive Services, Deliver Insights, Self-Data Discovery, and enable solutions on both public, private, hybrid clouds in terms of IAAS, PAAS, SAAS and on-premises infrastructures.

Being a Big Data and Cloud SME for platforms like AWS, Azure, Alibaba and Flexible Engine, lead Proof of Concepts, Introduce products, Writing proposals, responding to RFP’s, lead Vendor Management, Customer Management and delivery of Architecture. responsible to manage enterprise applications and analytics & data management clients with solutions around Hadoop, spark & big data opportunities to showcase solutions built on Azure and AWS cloud and as a solution architect for deals proposing end to end data architecture, engage multiple partners and vendors, write proposals, develop comparative cost models between various cloud providers, lead and deliver POC's around virtualization, cloud migration, design and develop data lakes, and build solutions around SaaS and PaaS solutions thereby showcasing lower TCO, greater flexibility and high availability.

Being a Cloud Practitioner, responsible to migrate existing on-premises applications to cloud in terms of network, storage, infrastructure services, and responsible to devise migration strategies, propose migration solutions around object storage, and file storage and also responsible to design solutions around cost optimization, solutions with end to end security, reliability, operations management. Identifying requirements for building the virtual private cloud, designing VPN to build integration with on premise data center, automated DR environment, scripting and configuration through API’s. Responsible for making product demonstrations, integration with various vendors and partners, white boarding and presentations. Carrying a strong background around data architecture, responsible for API integration, cloud computing, enterprise data integration, structured, semi-structured and unstructured data management, governance, security, and semantics with enterprise search, metadata management, unified & hybrid data architecture, data modeling and data science

Plays a vital role in leading solution pre-sales in ASEAN region, works hand in hand with regional sales to drive growth and handle multiple clients and recognize revenues by devising strategies with assigned accounts.

X Topic Abstract

The theme of the topic would be "Environment Sustainability". How financial data such as credit card transactions can tell a story or two about environment sustainability. How can data be leveraged to find solutions to some of today’s most pressing global sustainability issues, ranging from air pollution to transportation and water use. We can use data to devise solutions to sustainability challenges. The data provided would be financial credit card transaction data, environment data such as air pollution and Pollutant Standards Index levels, and energy consumption data such as electricity and water and other data.

X Topic Abstract

Jupyter Notebook is perfect for using Python for scientific computing and data analysis with libraries like numpy, pandas, and matplotlib. Jupyter Notebook is a web application that allows you to create and share documents that contain:live code, visualizations, explanatory text (written in markdown syntax). Jupyter Notebook is great for the following use cases:learn and try out Python, data processing / transformation, numeric simulation, statistical modelling and machine learning. In this session, we will use the real data and use Python and Jupyter Notebook with Machine Learning algorithm to get the insight from real data.

Speaker profile

Frado Sibarani is a Data Scientist Certified from MIT with 8 years experience. Achievements include creating data regression model to predict company stock prices with 20% more accuracy than historical average. Achieved 20% improvement in investment returns across all clients. Highly skilled in machine learning, data visualization, and creative thinking.

X Topic Abstract

Implementing automated visual analytics is hard. Various data sources. Business adoption. Tracking usage. Educating the users. There are a tonne of issues which money can't solve. Let's listen to the journey of how this can be done seamlessly and what are the processes to enable automated dashboards and intuitive self serve Reports on demand via visual tools such as Tableau, Qlik, Micro strategy and Power BI in a way that helps business make quick desisions and convert your company to a data driven and analytics mature organization by committing to "data first, automated, visual" mentality.

Speaker Profile

Sudhir has around 18 years exposure in data analytics & business intelligence in web technology, digital marketing, online dotcoms, visual automation, market research & financial industries. A self professed tech gadget geek, an eFitness enthusiast & an avid fan of "healthy" food, Sudhir spends weekends running, reading/writing, and pursues business analytics courses via MIT, HBX, SMU & IIMB. His day job is transforming digital analytics & enabling smart visual data driven decisions in a UK based bank spanning 70 countries.

X Topic Abstract

Learn about how to effectively leverage data to create dynamic real time visualization for monitoring mission critical business solutions , identify patterns as they form and take remedial measures

Speaker Profile

Girish has 18+ years of multi-faceted experience in the IT industry starting from database engineering, customer support, solution architecture design and implementation, technical pre sales to leading international teams in complex large scale engagements. He is a globally recognized thought-leader in the industry in the areas of Data / Big Data, prescriptive and predictive analytics, and insights visualization with effective story telling skills. He has significant experience in asset creation and reuse having 15 filed patents, 16 published disclosures and more than 20 publications in renowned international journals. He is a PhD Candidate in Data science which he is pursuing from University of Arkansas, USA. Currently as an Senior Principal Director for Accenture Digital Consulting focusing on Applied Intelligence, AI, Data Analytics to innovate and drive the adoption cutting edge technologies across business domains and geographies.

Our Sponsors

Use this opportunity to improve the visibility of your organization

Instant Sponsorship
Avail instant sponsorship at just USD 2000

Instant sponsorship includes
• Branding of your company as Bronze Sponsor – Company's Logo on the event page with cross link to your website.
• One Speaking Slot (45 min -non sales talk).
• 10% discount on registration fee for any delegate from your organization.
• Full day attendance at the event with lunch
• 1 x Roll up stand / Brochure distribution at the event
• Online Interview post of your company's senior executive at our media portal

For Silver, Gold Platinum & Titanium Sponsorship opportunites, please request for Sponsorship Brochure via email at,

Our Sponsors

Media Partners


Digital Marketing Partner

Marketing Partner

Our Past Sponsors

Media Partner


Our Speakers

Sudhir Panda

Visual Analytics

leading bank in Singapore

Harsha Urlam

Data science - senior manager

Applied Materials

Kumar Hemant

Software Architect Data Scientist - ML & AI

IBM Singapore

Srikanth Kappagantula

Senior Cloud Architect (Big Data & Analytics)

Orange Business Services

Shriranga Kulkarni

knowledge engineer


Frado Sibarani

Data Scientist


Girish Sundaram

Senior Principal Director - Digital Consulting - Applied Intelligence


Want to become a speaker Please register here Register

Our Pricing

Group of three or more(Early Bird)

SGD 400

Till June 16
Group of three or more(Standard)

SGD 425

Till September 19
Early Bird

SGD 575

Till August 19

SGD 700

Till September 19

Register Via Eventbrite

Our Testimonial


Who can attend Visualization Day in Singapore?

CEOs, NGOs, developers, and anyone passionate about an accessible, game-changing technologies, modern business, including executives, inventors, strategies, marketers, visionaries, and creative minds from technology, business, and design, technical leads, architects, engineering directors, and project managers who influence innovation in their teams,
All who want to learn from tooling to skilling and from strategies to fundamental values.

And also, If your responsibilities include any of the below, you must attend:
• Predictive Analytics - Business Intelligence
• Data Visualization - Insight
• Data Science - Data Mining
• Software Engineering - Computer Science
• Data Journalism - Storytelling
• UX/UI Design - Graphic Design

Why to attend Visualization Day in Singapore?

From tooling to skilling and from strategies to fundamental values what needs to change and how? What are solutions and services available in market which I can leverage? Big Visualization Day 2017 is an attempt to seek and share answers to these basic questions.

What will you learn about?

Learn latest techniques and skills required for Data Science & Analytics from industry stalwarts themselves. Latest trends, concepts, processes and tools to understand and acknowledge challenges in Data Analytics emerging technologies. Meet and network with fellow Data Science & Analytics experts from leading companies. Learn how to adapt and adopt these changes quickly and swiftly within a team and also across the enterprise.

Are there any prerequisites to attend this program?


Do I need to register for the event?

Yes, all conference attendees must register in advance to attend the event.