Adam Sroka

Data & AI Director

Hypercube Consulting

Chief Executive Officer

Director

The Data Lab - Innovation Centre

The Innovation Advisory Board is responsible for advising on innovation and collaborative project activity for The Data Lab – Scotland’s Innovation Centre for Data and AI.

Innovation Advisory Board Member

Origami

Head of Machine Learning Engineering

Incremental Group

Senior Data Scientist

Sure Thing! Insurance

Data Scientist

Clear Returns

Thales

Research Engineer

I build data and AI platforms for the energy sector | Director at Hypercube Consulting

Dr Adam Sroka is a Co-founder and CEO at Hypercube Consulting, a firm that helps organisations unlock value from data by delivering enterprise-scale solutions and building high-performing data and analytics teams from the ground up. With over 10 years of experience in data science, machine learning, and artificial intelligence, Adam is a recognised expert and speaker in his field.

Adam's mission is to bridge the gap between technology and business, and to enable data-driven innovation and transformation across various industries. He shares his insights and best practices through his blog, podcast, and tech community events, where he showcases his approaches and systems for effective communication, engineering discipline, and experimentation. Adam is passionate about helping organisations and data professionals maximise their potential and impact with data and AI.

Beacon Consulting Pte Ltd

Consultant

AI Frontier Network

https://www.aitimejournal.com/ai-frontier-network/

The AI Frontier Network (AIFN) is a synergistic alliance of pioneering thinkers, entrepreneurs, researchers, corporate leaders, professionals, and creators.

Together we aim to stay ahead of the curve in the age of AI.

AIFN members are thinkers formulating groundbreaking ideas, entrepreneurs turning visionary ideas into reality, researchers conducting pivotal studies that redefine understanding, corporate leaders shaping industry trends with innovative strategies, professionals applying expert knowledge to solve complex challenges, and creators designing and developing cutting-edge products and services that redefine everyday life.

Despite their diverse roles, AIFN members have one thing in common: they are actively shaping the AI revolution.

AI Ambassador

Singapore Chamber of Commerce and Industry

1) Work closely with the President of Singapore Chamber of Commerce and Industry to welcome foreign business delegates to do business in Singapore.
2) Interact with local business owners and link them with the right channels for business development.
3) Work closely with SCCI Council members to make good entrepreneur better. 

Please go to SCCI website to know about all the future events we have. 

https://scci.sg/

Secretary General

AI Time Journal

https://www.aitimejournal.com/ambassadors

1) Sharing with the Data Science community on skills on machine learning models, Statistics and coding.
2) Join Data Science podcast and interviews.
3) Engage with Data Science forums.

Amigoals

https://app.amigoals.org/user?JarrodTeo

1) Connecting and coaching Data Scientists
2) Help young Data Scientists to understand how real world Data Science projects work. 
3) Meet up with young Data Scientists at Data Science conferences.

Data Science Mentor

Singapore Computer Society

Appointed as a SkillsFuture Speaker for Data Science

SkillsFuture Data Science Speaker

Direct Sourcing Solutions

1) Design Data Science products to be sold.
2) Implement Data Science procedures in DSS with information on resource planning. 
3) Groom a Data Science team. 
4) Code and Clean Data while introducing the right Data Science tools to help the business. 
5) Design Data pipelines to extract, clean, calculate and score machine learning models.
6) Design business solutions and help clients understand in layman explanations. 
7) Build machine learning models. 
8) Use Statistical Methodologies to help solve business problems. 
9) Deploy and test machine learning models capabilities on actual business data. 
10) Provide trainings to internal staff to educate them on Statistics, Data Cleaning and Data Science. 
11) Start an internal tech discussion forum to exchange ideas on how Data Science is used in the tech industry. 
12) Handle client enquiries on Data Science. 
13) Advise DSS C level team on any matters relating to Data Science and also designing Data Science solutions for all projects. 
14) Expand DSS Data Science business to Global stage by connecting DSS with various commerce groups. 
15) Market DSS Data Science business through collaboration opportunities. 
16) Designed and created DSS Business Health. 
17) Deployed 7 Machine learning models onto DSS Business Health with 6 models having self learning capabilities. 
18) Client is happy with the recommendations system and they are earning money despite COVID situation. 
19) Client's customers are happy with the recommended products and commented on their website that the recommendations are good. 
20) Lead Cloud Engineers to set up Cloud environment to link DSS and client's database.
21) Innovated 14 Data Science products.
22) Evolved DSS Customer Observer AI Suite to DSS Customer Communicator AI Suite. 
23) Create and lead business plans to sell DSS Data Science products. 

DSS Asia has offices across entire Asia housing talents from various tech disciplines.

https://www.dss.asia/

Chief Data Scientist

Catalytics Datum Private Limited

Business development for the company on areas of Data Science projects.
Actively seek out business opportunities in South East Asia.
Work with 4 different teams, Data Science, Data Engineering, App/Web Development and Social Media Listening to come up with business solutions for clients.
Clinch a deal with warehouse company to do a dashboard to measure inventory movement.

Mapped out the following products for development : 
Catalytics Logistic Tracker
Catalytics e-Commerce Watch
Catalytics Hotel Management
Catalytics Real Estate Management
Catalytics Restaurant Management

Invited as a Data Scientist to speak at 3 events :
Clariden at Marina Bay Sands: Topic – Transforming Customer Targeting and Predicting Buying Behavior with diverse Machine Learning models
Chang Clan Association of Singapore: Topic - How AI can help you get more business with less marketing spend
RE-TECH: Topic – Using machine learning to help property agents.
Parkway Pantai – Machine Learning Classes and Usages

Clinched partnership with Amazon Web Services and Google. 

Here is our company website :

https://catalyticsdatum.com/

Data Science Director

Standard Chartered Bank

Created Codes in Paxata to generate an important report on my 3rd week in the company.

Involvement in various projects which involves data analysis which leads to coding done for data extraction, cleaning and analysis. 

Liaise with various countries head to make sure the data is up to quality. 

Make sure that current dashboards are working well and capturing Management Information reports well. 

Lead discussions on the data quality to stakeholders to make sure the company has a direction on what to improve.

Associate Director

Cheil Worldwide

Build Profiling model which can allow the business to pick up higher chance of purchase for TV customers. 

The TV prediction model have a 65%-75% accuracy for identifying non buyers and 75%-85% accuracy for buyers for 12 months of data. 

Identifying and built features which can affect the prediction models. 

Liaise with Samsung Director to advise on which prediction model to use and which features to adjust. 

Built "magic buttons" (SPSS Macro) which by a click of a button, 8 countries of analysis can be done within minutes. 

Using 3rd party social media tools to identify searches of customers

Built Data Dictionary to help the team to understand the data.

1) Know 9 software. SPSS Statistics, Modeler, Text Miner, Python, SQL, Paxata, PowerBI, Alteryx, Flourish. 

2) Created 15 Data Science products. 1 of them caused a previous company to be valued at 13.4mill USD.

3) Set up 3 Data Science departments.

4) Work in multiple Fortune 500 companies.

5) Lead a few teams previously with Data Scientist and Cloud Engineers.

6) Trained 3k professionals ranging from executive to MD on Statistics, Data Science and coding.

7) Deployed countless machine learning models. Some of them ran for 6 years and counting 24/7 earning money.

8) So far ran 3 challenging machine learning models in sudden economical situations... Protest, pre covid to covid and to post lockdown.

9) AI Ambassador of AI Time Journal US.

10) Secretary General of Singapore Chamber of Commerce and Industry.

11) I have 18 years of experience in Data Science and Statistics.

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Adam Sroka

Jarrod Teo

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