AI & LLM Consultant | Data Scientist | Mentor

Tomasz Guściora


Want to start your journey with AI? Or maybe you have data, but don't know how to utilize it?

Meet your go-to AI & LLM Consultant and Data Scientist with over a decade in the analytics trenches.

Throughout my career, I've led cross-functional teams to deliver AI-driven projects in banking, insurance, and beyond. My solutions have trimmed response times by half, boosted fraud detection accuracy beyond 85%, and generated 200+ successful customer campaigns.

And yes, I keep things fun along the way. Whether it's integrating large language models into your workflow or demystifying analytics for business stakeholders, I'm all about practical, results-oriented data science - sprinkled with a dash of humor. Let's analyze, optimize, and watch your business prosper.


Contact me at: [email protected]

About Me

With a passion for analyzing data and turning it into actionable insights, I thrive on delivering end-to-end machine learning applications. My mission? Bring cutting-edge AI solutions to life and help businesses excel in today's data-driven landscape.


Currently, I'm diving deep into large language models (LLMs) to build next-generation prototypes with GPT & Agents. I've developed real-time analytics pipelines, implemented advanced risk scoring models and led global teams in fully remote environments.


Feel free to connect with me on LinkedIn, check out my code on GitHub, or explore the latest insights on my blog.

Work Experience

Senior Analytical Consultant
SCS Expert Sp. z o.o., Warsaw, Poland
01.2022 - Present

  • • Deployed real-time analytics pipeline for automated risk scoring in credit space
  • • Adapted, developed, and managed a transactional model accelerator driving recurrent revenue
  • • Established a stakeholder-management system that halved customer turnaround time
  • • Led a graph analytics project that increased analytics value via social network analysis
  • • Coached and developed 4 junior colleagues
  • • Led design & implementation stream for analytics pipelines with business stakeholders to optimize ML delivery

Analytical Consultant
SAS Poland Sp. z o.o., Warsaw, Poland
01.2020 - 12.2021

  • • Built a fraud-prediction model for insurance with >85% accuracy
  • • Proactively managed stakeholder expectations, boosting customer satisfaction
  • • Built average damage-valuation model for the reinsurance sector

Data Analytics Capability Manager (Assistant Vice-President)
Citi UK, London, United Kingdom
07.2018 - 06.2019

  • • Led in-country delivery of a global analytic streamlining project, achieving fastest regional delivery
  • • Established standardized processes for analytic requests & quality management
  • • Democratized data-driven decisions in Sales, leading to 4% increase in portfolio penetration
  • • Managed & developed a remote team of specialists with 100% talent retention

Data Analytics Head
Citi Indonesia, Jakarta, Indonesia
01.2018 - 06.2018

  • • Adopted a new model for the credit card reward incentive program
  • • Led a team of 6
  • • Participated in a talent rotation program

CRM & Campaigns Head
Citi UK, London, United Kingdom
09.2015 - 06.2018

  • • Delivered 200+ customer lead-generation & marketing campaigns
  • • Managed a team of 4, overseeing campaign sizing, delivery, & tracking
  • • Led NPS data preparation and tracking across the organization
  • • Automated sales reporting, saving an equivalent of 3 FTE workload

Customer Analytics & CRM Expert Analyst
Citi Poland, Warsaw, Poland
06.2014 - 08.2015

  • • Deployed over 50 regional campaigns
  • • Managed complex regional stakeholder relationships
  • • Developed and promoted regionally 10 reporting metrics evaluating CRMS activity

CRM Specialist
Compensa Vienna Insurance Group, Warsaw, Poland
10.2012 - 05.2014

  • • Progressed from Intern to CRM Specialist
  • • Maintained sales-metrics business intelligence dashboard
  • • Led lead-generation initiatives for insurance agents

Some memorabilia from my journey as a life-long learner

Education

Data Science in Business
University of Warsaw (2019 - 2020)

  • • Postgraduate studies (Dept. of Economics)
  • • Workshops leveraging R software

Club Member
Toastmasters Leaders (2013 - 2014)

  • • Practiced and acquired public speaking skills

Computer Science & Econometrics
University of Warsaw (2008 - 2014)

  • • Bachelor's studies in Economics with Master's courses specialized in SAS
  • • Developed advanced analytical skills, bridging tech and economic insights

Projects

Realized projects, proof-of-concepts and prototypes.

Project 1:
Predicting house sale prices with Theil-Sen regression

Description:

Struggling to price properties accurately or losing revenue due to poor forecasts? This project demonstrates how a robust Theil-Sen regression pipeline can enhance property valuation by handling outliers effectively and offering more reliable predictions of house sale prices. By leveraging advanced feature engineering (like Weight-of-Evidence and Box-Cox transformations), this solution helps real estate professionals, investors, and analysts make data-driven decisions that optimize pricing strategies, boost market insights, and reduce financial risk.

Role:

I led the end-to-end development of this model—covering everything from data cleaning and transformation to hyperparameter tuning—so you can confidently deploy a battle-tested regression solution. This includes detailed exploration of data, systematic feature selection, and a robust model evaluation framework that ensures high accuracy and actionable predictions for your real estate portfolio.

Project 2:
E-book for data scientists wanting to level up their game

Description:

Do you find your data science projects turning into a chaotic tangle of scripts and folders? Smart Structuring offers a step-by-step guide to organizing code, managing dependencies, and maintaining version control. Whether you're a startup striving for reproducibility or a large enterprise looking to streamline collaboration, this e-book provides real-world best practices and proven tips to minimize errors, speed up development cycles, and ensure scalability.

Role:

Drawing on my experience as both a data scientist and technical writer, I compiled actionable insights to help you avoid common workflow pitfalls - from inconsistent naming conventions to untracked data changes. The e-book is engineered to give you a reliable roadmap for building robust, maintainable projects that withstand the complexities of modern data science and keep your team focused on results instead of overhead.

Project 3:
Proof-of-concept: Comedian chatbot

Description:

Tired of bland, scripted chatbots that barely engage your users? This playful AI comedian breathes new life into customer support, marketing campaigns, or product demos by delivering witty jokes and spontaneous quips. Leveraging advanced NLP and deep learning—specifically the LLama 3.1 Instruct model with 8 billion parameters—this project demonstrates how entertaining interactions can boost user satisfaction and increase brand engagement.

Role:

I handled the full-stack deployment, blending large language model technology with an intuitive front-end to ensure real-time performance and an engaging user experience. By bringing humor into the conversation, the bot enhances customer engagement and can even serve as a creative marketing tool, illustrating how cutting-edge AI goes beyond pure utility to foster memorable brand experiences and loyal customer relationships.

Ready to Harness the Power of AI with
DemystifAI?

Want to see what you can achieve with AI? Get in touch! Whether you're taking your first steps in data science, creating prototypes, optimizing ML pipelines, or want to reach for innovations with LLMs — just one conversation stands between you and getting significantly closer to achieving your goals!

Find out more content - read my blog

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Explore a variety of AI and data science articles, each delving into practical tips, real-world scenarios, and best practices. Stay informed, stay empowered!