Talgat Omarov Email & Phone Number

Edmonton, Alberta, Canada

• Advanced Analytics Implementation for Alberta’s Ministry of Children and Family Services (CFS):
• 𝗦𝘁𝗮𝗸𝗲𝗵𝗼𝗹𝗱𝗲𝗿 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Collaborated with CFS stakeholders to gather requirements, aligning with organizational goals, and communicated analytical findings clearly to support informed decision-making.
• 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Developed time-series forecasting models (ARIMA, ETS) in R to predict children and youth facility placements across regions and types over a three-year horizon for strategic planning.
• 𝗥𝗶𝘀𝗸 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀: Utilized Cox proportional hazards model in R to identify significant predictors of children and youth facility placements, improving the understanding of historical trends in administrative data.
• 𝗦𝗲𝗰𝘂𝗿𝗲 𝗔𝗪𝗦 𝗘𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁: Established a secure and scalable AWS infrastructure for data storage and processing, ensuring confidentiality and meeting the high computational demands of the project.
• 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗔𝘀𝘀𝗲𝘀𝘀𝗺𝗲𝗻𝘁: Led a comprehensive assessment of data accuracy, completeness, and consistency, delivering actionable recommendations to enhance data integrity and overall quality.

Edmonton, Alberta, Canada

• Leveraged PyTorch, Transformers, and WordNet to develop a cutting-edge multilingual idiomaticity detection system, which placed 3rd out of 16 in the SemEval 2022 competition.
• Authored a peer-reviewed research paper on the system, which was published in the workshop proceedings.
• Conducting research in NLP and computational semantics as part of my ongoing thesis project.

Edmonton, Alberta, Canada

• Led interactive lab sessions for 50+ students on data structures, database design, relational algebra, SQL and MongoDB, effectively enhancing their comprehension and practical application of database concepts.
• Diligently graded assignments and exams for 300+ students, consistently delivering clear and constructive feedback.

Almaty

• Developed a recommendation engine using Python and matrix factorization techniques for one of the largest e-commerce apps in Kazakhstan, with the goal of enhancing the customer experience.
• Completed the highly selective Kaspi Lab Data Science bootcamp, specializing in Python, data analysis, and machine learning. Acquired expertise in analyzing complex data sets and making data-driven decisions with.

Astan

• Designed and implemented ETL pipelines using Python and SQL to extract, transform, and load data from various sources such as MS Access, MS Excel, CSV and MySQL into the data warehouse.
• Successfully uploaded over 8 million high-quality data entries that were sold to clients for decision-making purposes.
• Integrated the State Revenue Committee's XML API into the data preprocessing pipeline, resulting in a more streamlined data processing workflow.
• Developed a dynamic and visually appealing data visualization module using PHP and Highcharts.js, which effectively presents complex data in an intuitive and user-friendly manner, elevating the overall client experience.

Master Of Science - Ms, Computing Science, 3.92

Bachelor Of Science, Computer Science, 3.80

Activities and Societies: Debating Club, ACM Student Chapter

Foundation Year Programme, Biology, Chemistry