
Aknazar Kazymbetov
Founder & CEO
About
Risk & Analytics leader and Lead Data Scientist building end-to-end credit risk capabilities: data; ML models; decisioning/limits; implementation; monitoring; portfolio outcomes. I combine a strong business mindset with deep hands-on DS expertise, ensuring solutions get deployed and deliver measurable impact. Worked across multiple regions and markets (CIS/CEE/SEA/MENA/NA) in fintech, banking, and consulting, which gives me broad exposure to different risk practices, regulatory contexts, and customer behaviors.
United Arab Emirates
Dubai
Financial Services
scikit-learn, Superset, Power BI, PostgreSQL, PL/SQL, Docker, MedTech, FinTech, Polar, PyTorch, SQL, Python, Машинное обучение
Experience

Founder & CEO
LANDAU
Алматы, Казахстан
Scaling an international consulting firm with 4 professionals in MedTech, FinTech, and marketplace analytics. Set corporate strategy, land projects, develop client relationships, manage projects. Hire talented professionals, employ strategic HR management approaches, reinforce winning corporate culture, mentor and develop team members. Delivered 20+ global projects using advanced analytics, ML, and strategic planning. Developed AI risk models (>80% accuracy) for SME lending in Vietnam, Kazakhstan, and Russia, securing ~$5M VC funding. Delivered 2x uplift in loan approvals without raising NPL via ML models. Built a nation-scale health data lake & BI platform for Kazakhstan’s Ministry of Health; projected savings of ~US$1.2B. Created a MedTech AI solution for a major U.S. insurer, reducing hospitalization risks and saving $20M annually. Engineered anti-fraud ML model for Largest CIS marketplace, reducing fraud by 60%. Advised metaverse firm on strategic token sale, successfully raising $15M. Accepted into Alchemist Accelerator, 2025.

Co-Founder
Дубай, Объединённые Арабские Эмираты
Co-Founded Q-SEND, elected CEO. Set corporate strategy, build partnerships, make key business decisions, manage team of 3. Pivoted focus from the CIS to MENA market due to regulatory changes. Achieved rapid growth, expanding user base to over 200 weekly active users in first 3 months. Marketing taps into regional communities through direct collaborations. Forge partnerships to enhance Q-SEND's global reach, gaining 2K+ users. Selected for Draper University Accelerator; awarded a grant, Astana Hub Seed Money competition.

Visiting Lecturer
International Engineering Technological University
Алматы, Казахстан
Personally invited by the University President to serve as a Visiting Lecturer, teaching blockchain and data science. Supervised two undergraduate thesis projects; led students to a 1st-place finish at an inter-university hackathon.

Head of Unit
Алматы, Казахстан
Hired on as a Head of Unit to participate BCG strategic project and IPO readiness work at HCB, one of the largest consumer finance providers in Central and Eastern Europe and Asia. Reported to the Chief Sales Office and CEO of HCB KZ. Designed and implemented a digital transformation strategy. Directed team of 12 data analysts, mentoring 3 associates to advance to management positions. Implemented advanced models, increased cash loan portfolio profitability 21% in 1 year. Employed predictive analytics to bring 10% customer base growth and attract targeted younger, tech-savvy customers.

Senior Consultant 2
Алматы, Казахстан
Engineered risk management strategies for retail and SME banking in Uzbekistan, resulting in a 10x increase in the European Bank of Reconstruction and Development’s investments in the region. Improved operational efficiency by 25% at Kazakhstan's leading credit bureau by applying machine learning algorithms to risk management processes to optimize risk detection and mitigation strategies among banks. Ensured full Basel III & IFRS 9 compliance, guiding clients through audits with zero penalties. Promoted to Senior consultant-2 in half year due to exceptional performance.

Data Scientist (Risk)
Алматы, Казахстан
Promoted from Analyst to Data Miner. Created Kazakhstan’s first risk model for online car loans, shaping the bank’s strategy for new digital lending products. Implemented machine learning solutions for evaluating car and cash loan applications, reducing overdue payments by 50% and increasing loan approval rates by 17%. Developed social graph models of clients, improving credit scoring accuracy and portfolio quality by 20%. Proposed and received approval to develop Kaspi Score (like a FICO score). Managed an Analyst.

Software Engineer
Алматы, Казахстан
Redesigned data warehouse and data marts to achieve 4-hr reduction in calculation end times. Streamlined online insurance purchase process (CASCO & property), reducing completion time from 30 to 5 minutes through automation. Promoted from Intern to Software Engineer.
Education
Aknazar Kazymbetov's Contact Information
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