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.

LAPPIS

As Senior Data Analyst, my role in the "Brasil Participativo" project is to help the project advance in all four fronts of data analytics: descriptive, diagnostic, predictive and prescriptive, by
supporting activities such as:
• KPI definition in conjunction with stakeholders
• Data visualization
• Automation of user participation data on the platform
• Merging the platform’s databases and other available government databases
• Applying data science techniques in areas such as classification and NLP

Sr. Data Analyst

Mondelez International

ACE (Analytics Center of Enablement) Academy lead for the Latin American region.

Regional Analytics Lead

Shape

Development of data products based on statistics and machine learning for maintenance and process optimization for manufacturing and process industries.

Main results:

1) Conducted the full data science project pipeline using CRISP-DM methodology for developing a machine learning model that is capable of optimizing the cleaning process of the sulfate removal unit's membranes of Brazil’s leading Oil and Gas player. The result of this modelling was translated into a Virtual Engineering Tool ‐ a webapp in which engineers and operators can simulate parameters of the most important features to understand how this affects the outcomes of the cleaning process.

2) Developed a condition based monitoring system (a data product for predictive maintenance 4.0) in Python for one of the largest pulp producers in LATAM based on engineering knowledge to identify potential hydraulic unit failures on a press equipment so that the engineering team could act proactively and prevent production losses.

Braincube

Braincube is an IIoT SaaS platform aimed at providing easy access and facilitate data analysis in transformation industries.

Product Owner / Data product management: 
- Responsible for diagnosis and implementation of the IoT based application;
- Support to sales team on presenting technical aspects of the product during sales / prospection. 
- Understand prospect customers’ current data situation in terms of infrastructure (pipelines, consumption, strategy) and come up with potential use cases taking into account their current reality.

Data analytics consultancy / Customer experience: 
- Onboarding of new customers by providing training and consulting sessions aimed at data-driven problem solving using Braincube’s cloud apps such as data visualization, machine learning, alerts and others. 
- Support customers on structuring routines and developing analysis using data on activities such as: KPI development, dashboard creation, exploratory data analysis and machine learning usage.

Main results:

1) One of the largest steel producers in Brazil reported savings estimated in 10MM BRL by reducing scrap after using data analytics tools and guided consultancy on data-driven problem solving. Other successful use cases were achieved in mining sector and food. 
2) Developed a playbook for customer usage of Braincube platform that did not exist and became a global tool, now known as the 'Quick Start Guide to Braincube'. Also created educational videos and written materials to make Braincube's usage clearer for the users and peers.
3) Used data science techniques and conducted user experience research to provide a novel understanding of the users relationship to Braincube with k-means clustering and A/B testing. This also was translated into feedback for the sales team to leverage specific aspects of the product during prospection, leading to a increase in sales conversion.
4) Developed and structured an onboarding strategy for new users that would maximize retention.

Senior Data Consultant

BASF

> Daily follow up of production lines with focus on increasing productivity and reducing scrap and raw materials.
> Management of the OAE tool for the actives on the site.
> Experience with Technology Transfer for R&D sites accross the globe (mainly US and Germany)
> Experience with NCM and root cause analysis.
> Continuous Improvement (winner of the BASF Operational Excelence award in 2016)

Process Engineer

Supporting process engineering team on continuous improvement and tech transfer activities

Process Engineering intern

Kurita

Conducted lab analyses on wastewater treatment plants

Intern

Unicamp

Undergraduate research on biodiesel production from microalgae as part of the undergraduate studies in chemical engineering

Undergraduate research

Analytics Lead | Data Scientist | Data Analyst | Decision Scientist

My main professional objective is to guide business decisions through the use of data.

Graduated in Chemical Engineering, I developed experience as a process engineer in a manufacturing environment at BASF in the first years of my career, where I stood out through my problem solving skills, in particular using the 6 sigma methodology, acting in the reduction of scrap and loss of raw materials in the production process, which led to annual savings of around 60kEUR.

From Lean Six Sigma I transitioned into data science in 2019.

At Braincube I acquired experience in product development and data projects in industrial environments, as well as in working with SaaS technology. As a data consultant, I guided some of the biggest players in the steel, food, mining sectors, among others, to develop a data-driven mindset through both consulting and in-company training on using the Braincube tool. One of the national leaders in the steel sector I worked with reported savings of around 1MMBRL with scrap reduction when using the CrossRank algorithm to identify the root cause of the problem combined with a routine management strategy using data integrating the engineering and operation teams on the shop floor. Internally, I used my skills as a data scientist on projects that used clustering algorithms as well as A/B Testing to identify product improvement points as well as identify different groups of users. The insights generated from these analyzes were fed back to the sales team, which, by adopting a more customized customer service strategy, was able to increase sales conversion by 75%.

At Shape I worked as a data scientist developing models based on machine learning and engineering for large industries in the areas of maintenance and process engineering. A CbM-type predictive maintenance solution for the presses of a leading company in the pulp and paper sector was able to capture pre-failure behavior with 100% recall because it was based on an engineering rule.

Languages: SQL, R, Python, Spark, HTML, CSS
Data viz: Power BI
Development: Git, Scrum
Database: MySQL, Postgres, SQL Server.
Machine Learning: Classification, Regression, Clustering, Time Series.

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Adam Sroka

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