Our programs are co-created with tech companies or tech leads who regularly hire engineers.
Our goal is to provide you with all the hard and soft skills you need to take your career to the next level. Depending on your individual situation, this could be a promotion, a career at a new company, or whatever else you choose to pursue.
Our methodology was born of a research project. We wanted to determine the most efficient way to learn IT skills hands on. For best results, we provide more on-demand, 1-on-1 tutoring and personal feedback to students than any other online coding school. This methodology ensures that all students acquire practical, in-depth knowledge of their subject.
Our Senior Team Leads are senior industry professionals who dedicate their time off-work to lead Turing College learners through our courses. STL is analogous to a tech lead for a junior professional at a tech company.
STLs provide consultations, 1on1 project reviews, and feedback.
Tech professionals who are actively involved in our learning process, either as Senior Team Leads or as Mentors.
Mike is a preceptor at Harvard, and works as a Machine Learning Engineer at Centaur Labs. As a result, he has experience with data science in both academia and industry. He also boasts extensive teaching and mentorship experience, and enjoys helping learners achieve their academic and career goals.
Digital publishing and monetization specialist working with the biggest publishers in the Baltic region at Google. A professional coach, specializing in career and motivation, passionate about women empowerment and technology.
Renaldas combines machine learning, computer graphics and game development in his (mostly research-based) role at Unity Technologies. He has worked on bringing Unity’s engine to mobiles, and developed AAA games at Electronic Arts.
Deividas is a machine learning engineer at Vinted with a Master’s degree in AI. A real career changer – worked for over 7 years in the aerospace industry and graduated from his aerospace engineering studies at the top of his class.
Udeme is a data scientist at Nielsen. He also started a YouTube channel (Data Rantz) where he explains the basic concepts in Data Science.
Romanas’ vision is to build bridges between the Bay Area and the Baltics. He has over 10 years of experience in the Silicon Valley, including at Waymo (Google's autonomous vehicle project), Getjar, Spigot, and Nextury Ventures.
Tomas is a data scientist at Vinted and holds a double MSc in Data Science. His background is in computer science so he still loves to contribute to open source, and he also co-founded a web development agency.
Agnė is a Digital Transformation Consultant at Schuberg Philis, a self-steering organization where she serves as a Business IT translator to various multinational clients in The Netherlands. Prior to this, Agne worked in transformation programs at Philips and Maersk.
Piotras works for Vinted as machine learning engineer. He has 20 years’ experience in R&D including modeling, data analysis and machine learning.
Technical Program Manager at Google focusing on managing large scale cross-functional projects. Prior to Google, Maynk has worked across different industries such as Pharmaceuticals, Fast-Moving Consumer Goods, Consumer Healthcare and Biopharmaceuticals. He has a background in engineering and business management.
Machine learning engineer at Geomatrix. Member of a team that won the main prize at the Innovation Workshop, Spring 2020 by deploying deep learning techniques.
Kevin is a Python developer and trainer. He holds degrees in software engineering, liberal arts, mathematics and spiritual psychology. He combines his technical knowledge with strong mentoring skills honed as a STEM teacher to help learners realize their dreams of becoming data scientists.
Working with NYC Hedge Funds and Silicon Valley tech firms. 12 years in FinTech and 5th year as PhD researcher at VU DMSTI, Cognitive Computing Group. His recent work on Deep Learning-based object recognition in Satellite Imagery (link) was nominated as one of the top papers in 2021 by the LT AI Association.
Machine Learning Engineer working at Vinted. Spends most of his day working on Computer Vision and Natural Language Processing tasks.
Currently works as a Software Engineer at Maxex. Formerly Data Engineer at Barbora. Degree in Economics and Finance from University of Aberdeen.
Adomas is a data scientist at WePower and has a masters degree in applied mathematics from Kaunas University of Technology.
Data Scientist at Tesla, Co-Founder of Low Heat Collective and ProgramEURs. He has an economics and business analytics background graduating from the Rotterdam School of Business (RSM). He'll help you understand the culture at Tesla and dive deeper into the required skill sets.
Ajibola is a data analytics professional that has worked in several industries such as telecommunication, retail and financial services and is currently working with Western Union (Pricing and Customer Analytics team). She holds an MBA in business analytics and loves to find simple but creative solutions using data to aid business decisions.
Balys is a Data Analyst at Bite Lietuva and SQL developer at LRS. Studied Telecommunications Physics and Electronics at Vilnius University.
Indrė is a Data Science Team Lead at Beyond Analysis. Previously worked as a Data Scientist at Danske Bank for 4 years. Holds degrees in Mathematics and Computer Science.
Senior Data Scientist at gaming e-commerce startup Eneba. During his professional career worked in game development, robotics and cyber security fields. Received Master's degree in AI from KU Leuven.
Data Scientist at Eneba. Started as an intern and got an offer in a month as the first Data Analyst in the company. Has a MSc in Applied Mathematics from the Kaunas University of Technology. Prior to becoming a Data Analyst, ventured into management and engineering roles.
In 2018 finished PhD in Astrophysics and since then working as a Data Scientist and Consultant at IBM Lithuania Client Innovation Center. Main focus areas are Natural Language Processing and Understanding. Algimantas has published research papers and has a US patent.
Data team lead at Danske Bank - leads a team of specialists engaging in data analytics, engineering & science projects focused around pricing. 8+ years of experience as data analyst in fintech and other industries with regular focus towards data flows' quality and efficiency.
Modestas has traveled a long way in the path of understanding data, from the intricacies of data wrangling to researching neural network pruning techniques for building memory efficient models. Currently working as a Data Analyst at Beyond Analysis.
PhD candidate of Bioinformatics at Vilnius University having a broad spectrum of experience starting from a work in microbiology laboratory, R&D projects, Python programming during Master's, Data Analytics at Danske Bank, currently working as a Bioinformatician at VUH SK.
Data Analyst at Hostinger. Greta is working on various projects which aim to generate value from the data. She started her path as a Data Analyst while studying Applied Mathematics at the Kaunas University of Technology. She has also obtained her Master's degree there.
Manvydas is a Data Analyst at Coingate. Prior to this, he worked as a Quantitative Analyst in the banking industry. He holds a degree in Econometrics from Vilnius University.
Data Scientist at Odysseus. Nadia's biggest passion is to utilize Data Science approaches to drive the process of discovery and innovation in Medicine. Having studied Bioinformatics at the University of Southern California, she currently works, in collaboration with colleagues, on an open-source genomic analysis tool.
Started my journey as a researcher in Vilnius University Life Sciences Center. After becoming a Turing College graduate continued working as a Data Analyst at KiloHealth (finance/marketing analytics). Now working as a Quality of Service Data Analyst at Nord Security (NordVPN).
A well-rounded data person. After obtaining an MSc in Statistics from Warwick, she made her way to Data Engineering. At the moment Gabrielė is working on machine learning applications at Spotify.
IT experts from the worlds of education, R&D and business.
As CTO, Giedrius led ed-tech projects ranging from global startups (Westudysmart) to market-leading platforms (EDUKA). He also has worked as a lead web developer at Western Union and co-founded the web development agency, Appmakers. Giedrius is a graduate of the University of Edinburgh where he finished with First Class Honours in Computer Science.
Director of Data Science & Analytics at Vinted, where he leads a team working on various machine learning projects. Dovydas is President of the Artificial Intelligence Association of Lithuania and a founder of Tribe of AI, an artificial intelligence learning community.
Full stack data professional who worked in various positions at Western Union, Vinted, Trafi, Telia and Wix. Currently leading data engineering team at Wix. Philosophy, Politics and Economics graduate from York University and Computer Modelling graduate from Vilnius University.
Data scientist at QuantumBlack and the author of Machine Learning for Finance. He has a background in financial economics with a degree from Oxford University.
Sam is a hybrid tech, education, and product expert. He helped build Makers, Europe’s first software bootcamp, as Head of Education and Head of Product. His background is in software engineering, teaching, and startups.
PhD candidate at the University of Oxford. He, in collaboration with scientists at the Broad Institute, is developing deep learning and data science methods to detect and unbiasedly characterise neurons involved in Parkinson’s disease. In addition, he led various data science consultancy projects and published results in high impact journals.
Data Analyst at Omnisend, where he works on various data analysis related projects, including developing internal BI Platform. Has almost 10 years of experience as an Analyst / Data Scientist from various industries ranging from digital advertising to banks under his belt.
Application engineer on computational performance at Intel. Worked on optimising ADCIRC (storm surge hydrology), XGC1 (particle-in-cell plasma fusion), and DEVITO (compiler for stencil DSL).
PhD candidate at the University of Edinburgh working at the intersection of computational linguistics and autonomous agents. Worked on deploying IT infrastructure at scale in CERN.
Data Scientist at Swedbank, focusing on fraud and money laundering detection. Indre has a Master in Econometrics and has been working with data since then.