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.

University of North Carolina at Chapel Hill

Research Assistant working on identification of mobile/manufactured homes and assessment of their natural hazards vulnerability using machine learning and spatial analysis.

Research Assistant

Instructor for PLAN372 (Intro to Urban Data Analytics) Summer I 2023. Teaching introductory urban analytics with R.
Co-instructor for PLAN590 (Master's Project Proposal Development). Spring 2023. Teaching proposal development for master's students in City and Regional Planning

Course Instructor

Personal Finance [PLAN363] [Spring 2022]
Planning Methods [PLAN720] [Fall 2019] [Fall 2021]
Urban Data Analytics with R [PLAN672] [Spring 2020]
Introduction to Environment and Society [ENEC201] [Spring 2021]

Graduate Teaching Assistant

Helped build a data dashboard to track COVID response and recovery in North Carolina.
I performed:
- Scraping data from the web
- Managing data streams from a variety of sources
- Co-designing data pipeline from data gathering, processing, visualizing and dissemination
- Cleaning, processing, summarizing data to create economic and housing indicators

Graduate Research Assistant

NCGrowth 

Analyst working to create and improve the quality of minority-owned vendors database in North Carolina. Involved in programming for data deduplication and cleaning, developing data quality standards, address data standardization, etc.

Analyst

The National Consortium for Data Science

Assisted data-science instructors in teaching the following short courses:
- Intro to Python
- Intermediate Python
- Python for Tabular Data and Visualization

Teaching Assistant

Kathmandu Living Labs

Research Assistant for a National Science Foundation, USA granted and USAID funded PEER Science research on "Expansion and Use of Open Mapping as Digital Infrastructure for Sustainable Development"

International Network for Bamboo and Rattan / ABARI

- Designed and built appropriate technology including CNC woodcutter, Biomass Gasifier/Cahrcoal maker, Material transport systems for rural areas
- Facilitated 3 batches of course on Participatory Design for Rural Communities for Engineering undergrads

Consultant

Kathmandu University

Development of Design and Testing Procedures for Model Francis Runner per IEC Standards

Research Intern at Turbine Testing Lab

Ph.D. candidate specializing in machine learning and geospatial analysis applications in energy and water systems planning for climate resilience. Academic background in energy planning and engineering. Adept at computer vision, natural language processing, network analysis, geospatial data science, and clustering techniques.

Ongoing dissertation work focuses on natural hazard risk to energy infrastructure, clean energy workforce development, and water utility service accessibility in vulnerable housing. 

Past research and consulting works in data science, renewable energy research, open data and development, techno-economic analysis of low-carbon energy systems, and mechanical design.

Academic publications (Google Scholar): https://scholar.google.co.uk/citations?user=fRsXJ7wAAAAJ&hl=en

taplio

The Battle

Adam Sroka

Kshitiz Khanal

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