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Tamerlan Myltykbaev

@tamerlanm

Junior Data Analyst and ML Developer

I'm a data-driven professional who bridges the gap between data analytics and machine learning.

Open to

Funding & grantsFinding a mentorJoining pet projectsStartup collaborationCompany partnerships

About

I excels at handling large datasets, building interactive dashboards, and deploying custom CV pipelines that bring measurable value to the business. He is a fast learner with great communication skills, making him a perfect fit for a fast-paced environment.

Career

Experience: 1 years

Experience

Analyst / ML Developer (Full-Time)

Data Line

Jan 2026 — Present

Built computer vision, LLM, predictive modeling, and scraping tools, reporting a 90% mAP detection score, 15+ weekly hours saved, and improved data alignment.

• Achieved a 90% mAP detection score for hazardous items by fine-tuning and deploying a YOLOv8 computer vision model to automate real-time monitoring at a construction waste landfill. • Automated routine workflows and saved the team 15+ hours weekly by developing intelligent services, including production-ready LLM chatbots, predictive models, and web scrapers. • Enhanced cross-platform data alignment by 25% by cleaning, reconciling, and structuring 600k+ high-volume records from State Databases (“Individuals” and “Legal Entities”).

Data Analyst Intern

Blockchain University

May 2025 — Aug 2025

Analyzed student and sales activity, built reporting dashboards that cut reporting overhead by 45%, and identified retention actions linked to a 12% rise in completion.

• Optimized sales funnel efficiency by executing deep-dive behavioral analysis on marketing, sales, and student activity datasets to eliminate operational bottlenecks. • Reduced executive reporting overhead by 45% by engineering interactive data dashboards via Plotly and Matplotlib to automate weekly lead and KPI tracking metrics. • Boosted student program completion rates by 12% by identifying critical churn indicators and formulating actionable student-retention insights for management.

Data Analyst Intern

Altyn Agash

May 2024 — Jul 2024

Automated Python reporting and analyzed inventory, identifying potential savings of 15% and reducing manual report preparation by 30%.

• Reduced manual report preparation cycles by 30% by implementing automated data aggregation and processing scripts written in Python. • Uncovered 15% in potential cost savings by analyzing inventory performance metrics to flag low-turnover items and pitching a warehouse optimization strategy to stakeholders. • Improved cross-departmental business intelligence transparency by structuring raw sales metrics into standardized internal reports.

Education

Bachelor, Telecommunication Systems

Astana IT University

2021 — 2022

Bachelor, Information Technologies and Systems

Astana International University

2022 — 2026

Selected projects

Construction Waste Detection System

Designed a continuous computer vision pipeline capable of processing real-time video feeds to identify prohibited waste categories, mitigating landfill compliance hazards. Implemented custom YOLOv8 model layers and integrated a PostgreSQL backend database to log automated detection instances with synchronized timestamps and confidence scores.

Achievements

Bronze Medalist, Mathematics Research Project

Infomatrix International Olympiad, Almaty · 2023

Academic Merit Scholarship Winner

KBTU

Full ride scholarship owner

AITU, AIU

Skills

PythonNumPyPandasSeabornMatplotlibPlotlySQLPostgreSQLClickHouseGitDockerOpenCVYOLOv8RoboflowExcel