Mentors & Experts

Mentoring is best described as an educational process when mentors share knowledge with the purpose of surfacing potential in their protégés.

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Ramunė Šabanienė. Head of Data Science, AI and Analytics. Telia

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Ramunė Šabanienė

Head of Data Science, AI and Analytics

Telia

Ramune Šabanienė is senior leader with 15+ years of proven record of building high impact teams, change managing, leading growth and digital and analytics initiatives within organisations, leveraging big data and wide range of statistical modelling, machine learning, AI techniques for more profitable decision making. Focused on delivering innovative solutions quickly with substantial business impact. Strong business development professional with a Certified Professional Board Member focused in Corporate Governance from BICG. Currently Data Science, AI and Analytics Leader at Telia.
Diana Karosevičiūte. Data analyst. Cognizant

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Diana Karosevičiūte

Data analyst

Cognizant

I have experience of 5 years working as a data analyst in an international environment. I can share both technical aspects of my role, the main tools, courses, programming languages, industry trends and also soft skills that help to build successful career. Being an open minded and curious person I can also share my experience on self-development, work-life balance and encourage to take further steps toward your career goals.
Jekaterina Timofejeva. Senior SAP SuccessFactors consultant. Girteka Logistics

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Jekaterina Timofejeva

Senior SAP SuccessFactors consultant

Girteka Logistics

My IT journey involves many SAP ERP and SuccessFactors implementation projects, lots and lots of airline miles and hotel stays, working in large international IT projects and diverse teams, delivering projects under a tight deadline which is always an interesting thing to talk about.

I am 100% convinced that IT is a form of “controlled” art – it requires flexibility and creative solutions whilst trying to stick to a certain methodology and dry numbers.

Being a consultant to me is an opportunity to combine and excel in my two passions – technology and people.
Jev Gamper. Staff Decision Scientist. Vinted

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Jev Gamper

Staff Decision Scientist

Vinted

My background is in all things Data Science – I’ve been a manager, mentor, and an individual contributor. My experience spans academic research and industry applications. I have published at top AI/ML/Stats conferences, as well as built data science teams from ground up, and worked in medical imaging, astronomy, climate science and other science applications. Previously, I have mentored in the areas of AI Ethics, ML in Remote Sensing and Medical imaging (e.g. https://arxiv.org/abs/1911.03216 and https://arxiv.org/abs/2011.04762). Today I work at Vinted in experimentation and causal inference – my role involves leadership across all aspects of experimentation and causal inference; from implementing scientific models underlying the experimentation system to setting up technical roadmap and establishing experimentation culture. I am also a board member of the Lithuanian AI association, where my task is to improve Lithuanian AI/ML/stats community, hence I’ve co-organised a Vilnius Machine Learning Workshop (https://workshops.eeml.eu/) and EEML in 2022 (https://www.eeml.eu/).
Solvita Bērziša. Data Science Associate Manager / Docents. Accenture Baltics

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Solvita Bērziša

Data Science Associate Manager / Docents

Accenture Baltics

I have graduated doctoral degree in engineering science with an information technology specialization. Currently, I work at Accenture Baltics as a data science & big data consultant and I am a docent at Riga Technical University and guest lecturer at RISEBA University. I’m leading the data science meetup group “Riga Data and Advanced Analytics, AI Meetup”. In 2013 I have been awarded the IPMA Outstanding Research Contribution by a Young Researcher 2013 for research on “Application of Knowledge and Best Practices in Configuration of Project Management Information System”. My specialisations are data science, big data engineering, project management, business analysis, quality management, software testing and test management, DB programming, and data warehouse design.
Dovilė Morkvėnaitė. Head of portfolio management division. Ignitis group

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Dovilė Morkvėnaitė

Head of portfolio management division

Ignitis group

I am an expert in Energy sector focusing on Electricity consumption and production forecasting, trading with 12 years of experience in the industry. Throughout my career I have developed good effective decision-making, critical thinking and leadership skills. For last 4 years I am a team leader for very many-sided unique team in which management I believe I have succeed.
Ismael Capel Cuevas. IT BI & Data Unit Manager. Luminor Group

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Ismael Capel Cuevas

IT BI & Data Unit Manager

Luminor Group

Experienced manager of programs, projects and teams, always involved in the global strategy definition, implementation and governance. Permanent student of new technologies and methodologies2, like finding solutions to challenges and creating new opportunities. Team Builder, I like finding and cultivating Talent. Specialized in Data & Analytics, having worked on several countries and markets, with international teams allocated on multiple locations
Greta Petrošiūtė. Head of Risk Insights. Luminor Group

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Greta Petrošiūtė

Head of Risk Insights

Luminor Group

Greta is ESG BI Product at Luminor Group, where she is leading a team that delivers data and analytics for ESG related activities across the bank e.g. implementation of ESG and climate related regulations, climate risk management, sustainability reporting and others. Additionally, Greta is a co-founder at co-here consulting, providing organizations processes for sustainable transformation. She has a background in risk, financial performance management and strategy execution. Greta holds a Master’s degree in Finance and Banking from Birkbeck, University of London and Bachelor from Aarhus University in Denmark. She is also a co-founder and former president of Lithuanian Professionals in Copenhagen club. Greta is looking to help explore different career choices especially related to data and analytics, business analysis, sustainability, reporting.
Gert Lõhmus. Data and Business Intelligence professional. Luminor Group

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Gert Lõhmus

Data and Business Intelligence professional

Luminor Group

I have over 5 years of experience working with data and with financial services. I connect business and data to improve the products and services for customers and build data driven organisations.

However, my strongest skill is building highly efficient teams. With my refined skill set, I create a collaborative environment and bring a customer-centric atmosphere that enables teams to innovate and thrive. Always being hands on and together with the team solving the challenges.

My never slowing intellectual curiosity has made me a lifelong learner. I am always learning to gain new perspective, whether it is a new language, dancing, cooking or NLP. I take every challenge as an opportunity to prove that Mission Impossible is just a movie title.

My specialties: + Building and leading high-performance teams + Data Strategy/Roadmap + Business Storytelling + Transformation to Data-Driven Organisation + Data Business Designer +Growing/Advising Start-Up Organisations.

If you’re interested in grabbing coffee and talking (or hearing how data can change every product), please reach out.
Felix Andresen. Head of Risk Data & Analytics. Luminor Group

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Felix Andresen

Head of Risk Data & Analytics

Luminor Group

Felix is leading Luminor’s modelling and analytics teams within the Risk Division and has over 12 years of experience in the financial industry. Prior to joining Luminor, Felix was a Vice President at BlackRock’s Financial Markets Advisory Group, advising banks, central banks, and governments. He originally started his career in M&A for Deloitte and holds a Master in Quantitative Finance, an MBA, and a Diploma in International Economics.
Andrea Coifman. Senior Data Scientist. CLOUDEON

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Andrea Coifman

Senior Data Scientist

CLOUDEON

I come from a very diverse background! I have experience in Machine Learning, Software Engineering and Data Science from different countries: Spain, Denmark, Sweden and now Lithuania! I currently work in the IT/Cloud sector but I also have experience in the BI sector and consumer electronics. I am mostly working with tech such as Python, C++ and Azure, and I have just recently finished a Leadership programme in LSE, which I would like to use to mentor girls on how to negotiate promotions.
Sandra Virbukaitė. Lecturer. Vilnius University

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Sandra Virbukaitė

Lecturer

Vilnius University

A Database Query Languages Lecturer at Vilnius University and a Data Analytics Lecturer at VilniusCodingSchool with more than 10 years of experience in the Data Analysis field. At the same time I am a PhD student of Artificial Intelligence. I am very happy to be part of this program and share my experience with my mentees!
Karolina Griciune. Lead Data Scientist. Danske Bank

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Karolina Griciune

Lead Data Scientist

Danske Bank

I hold over 6 years of experience in Data Science field. For the last 3 years I have been leading Behavioural Modelling team, which is responsible for building and implementing finance-related predictive models. My team focuses on E2E Data Science projects and making them great not only in ppt, but also in production. I believe that Data Science is revolutionizing industries by inspiring businesses to set new directions, easing and structuring decision making process and automating numerous jobs. It is both exciting and demanding to be a part of this field.
Dariuš Butkevičius. Machine Learning Team Lead. Unify Square

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Dariuš Butkevičius

Machine Learning Team Lead

Unify Square

I am Machine Learning Team Lead at US-based company Unify Square with already more than 7 years in software development in general. I have successfully setup continuous learning culture in my team as I believe that a dedication to learning new things on daily basis is a key to success in the tech industry. I am here to push you away from “I am not talented enough”, “magic success” paths towards setting up a concrete plan for achieving your professional dreams.
Mantas Dosinas. Software Development Manager. Revel systems

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Mantas Dosinas

Software Development Manager

Revel systems

In my career I have been through various roles, which gave me a good insight into how business works as a whole and let me learn different perspectives. I had the opportunity to work with marketing, data analysis, product management & software development. I’m also interested in general human psychology and what brings out the best in us. I do believe that finding the right motivation for what you do and constant growth are key to having an interesting career and I hope we’ll have a great time learning together.
Evaldas Marcinkus. Head of Reporting & Analytics IT Department. SEB

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Evaldas Marcinkus

Head of Reporting & Analytics IT Department

SEB

I remember myself being always interested in the computers, even in the primary school I could not pass the classroom where higher grade students were studying the informatics and were already programming in Pascal. I always managed to sneak into the classroom and try the functions from the blackboard. That’s how my IT story began and still continues while exploring the IT world for more than 18 years professionally. Being a manager with international leadership experience in banking field both in business and IT I’m bridging the technology teams and business stakeholders. So far I have programmed, have been a Business Developer (these days called a Product Owner) and now I’m heading the IT Department in one of the largest Scandinavian banks.

I am open, collaborative and target-driven, therefore, I want to share my learnings and induce your curiosity in IT.
Asta Bagdonavičienė. Head of Reporting and Data Vizualization. Telia

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Asta Bagdonavičienė

Head of Reporting and Data Vizualization

Telia

I’ve started my career with Econometrics and Economics studies. I’ve landed into various data analyst/data steward/business analyst positions within banks, consultancy and telecommunications, which required a good combination of understanding the end goal while still being capable to grasp technical level. New jobs have resulted in new domain knowledge and new tools, so learning and self-learning were always crucial. Openness and curiosity are what I call the success criteria. It also leads me to new experiences and, I believe, in the upcoming collaboration with mentees.

I have a coaching certificate from International Coaching Federation (ICF). I have practice with individual coaching on personal topics. Also – professional mentorship within the organization internally. It included various levels – junior-mid-senior specialists and team leaders.
Aušra Ambrazevičiūtė. Software Engineer. CUJO AI

Aušra Ambrazevičiūtė

Software Engineer

CUJO AI

From bachelor’s in psychology to Software Engineering. I have started my path in IT from being a data analyst. In that time a have gained experience with Python, SQL and other tooling that might be helpful. Although first few steps in IT might be hard, hopefully we could conquer them together by finding ways to defeat them!
Justė Molienė. Owner and SAP BW Consultant. Gera data

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Justė Molienė

Owner and SAP BW Consultant

Gera data

I am an experienced Senior SAP Business Warehouse Consultant – data engineer with a demonstrated history of working in the Telecommunications, Oil and Gas, Dairy industries. I have an experience modelling data marts and information models, used in big data solutions, though I focus in data modelling and implementation in SAP BW system. I am very interested about SAP Data Warehousing journey and Enterprise data warehousing. This is both my passion and my work experience which I am keen to share.

I have had a few mentees previously, and I have and been guiding them through the learning journeys and topics while growing their experience. Also I see being a mentor as a challenge to myself as well. I have had a few mentees in my previous job at IBM, and been guiding them through the learning journeys and topics to learn while growing their experience, nevertheless being a mentor is a bit of a challenge to myself as well. Recently (during the last year) I have not been mentoring new people, but I would like to restart the same experience.
Laurynas Rekašius. Pricing Analytics and Operatios Manager. Western Union

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Laurynas Rekašius

Pricing Analytics and Operatios Manager

Western Union

Constantly learning Data Scientist that stays at the edge of newest technologies in Marketing & Finance industries and applies best practices of Machine Learning and analysis framing techniques to improve customer experience and products by doing proper Design of Experiment. Using 5+ years of expertise to uncover new opportunities for higher business value. Driving initiatives around the world in cross functional teams and coaching colleagues.

I transition to data analytics field with studying this on the side. My formal background was in Economics and I worked as public policy analyst. I could share my own transition experience and how to break into data science / engineering industry today by self study approach. I worked at various levels from junior analyst to being involved in strategic projects in company with 10K+ employees and leading those initiatives. I know how good work portfolio should look like and how to build one and can guide on this process. I am experienced in SQL, R, Python, analytics project management, working with both technical and business people.
Vilma Kairytė. Senior Analyst – Business Intelligence. TransUnion Baltics

Vilma Kairytė

Senior Analyst – Business Intelligence

TransUnion Baltics

For as long as I can remember, I did not relate my future with data analytics or IT field at all. However, for my master degree I decided to challenge myself and switch from social sciences to mathematics. These studies opened my eyes on how powerful, interesting, deep data can be and opportunities with it if processed properly. And so, for the past 4 years I enjoy helping business to make data-driven decisions.
Arūnas Umbrasas. Manager of Data Science and Analytics. Vinted

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Arūnas Umbrasas

Manager of Data Science and Analytics

Vinted

I’m the manager of Special-Ops – a data science team providing cross-domain research, analytical support and data engineering services at Vinted. My passion is solving business problems with data and enabling others to do the same. During my career, I worked with a diverse set of stakeholders on various data-related projects. Specifically at Vinted, I experienced a fast-growing business first as an individual contributor and later as people later. This allows me to give a perspective on what is expected of a data specialist by various business units as well as by hiring managers. Having pivoted to the field from a less technical background, I can also advise on learning and adapting to tech when you lack previous experience.
Irma Matonė. Data Engineer. Cognizant

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Irma Matonė

Data Engineer

Cognizant

My last ~5 years of career are focused to data engineering. I also love to solve performance issues caused by huge amount of data, so kind of DBA in my heart. I work with Microsoft stack mostly, but have understanding of other tools too. If you are keen to know more about the world of data, then I’m right person to talk to.
Emilija Lamanauskaitė. Data Engineer. Cognizant

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Emilija Lamanauskaitė

Data Engineer

Cognizant

Working as Data Engineer I am responsible for maintaining and developing analytics platform in Azure Databricks. I can help get started with programming skills needed for data related work as well as technologies that are commonly used in data engineering.

What is Mentoring?

There are many talented people left without professional support, which often results in loss of motivation. Mentors make sure that doesn’t happen!

Mentoring is best described as an educational process when mentors share knowledge with the purpose of surfacing potential in their protégés.

Mentors are not school teachers. They’re voluntary professionals that are motivated to pass on knowledge and contribute to Women Go Tech’s talent pool.