As a Software Developer at Curtin Institute for Data Science, I am focused on developing robust software solutions for data-driven research initiatives. Leveraging my expertise in Python, machine learning, and cloud computing, I collaborate with multidisciplinary teams to design and implement scalable systems for large datasets. My work includes building and maintaining web applications using frameworks like Django and FastAPI, enhancing user experiences, and integrating front-end and back-end components. I thrive on tackling complex problems and contributing to innovative projects that push the boundaries of data science and research.

• Built a grade reportingsystem for the underground mining.Most of the system run in docker containers and managed by Airflow. The part of the system was built on Palantir Foundry.• Did multiple geospatial analysis and acquired skills to develop geospatial software.

• Developed an advanced credit scoring system for consumer, micro business and mortgage portfolios with improved feature selection using machine learning methods and more robust model building approach. • Built the first compliance scorecard for the bank, improved the anti-money laundering system and implemented them in production. The interface application includes extensive tools to find suspicious transactions and customers • Developed collection scorecard and built the behavioral scorecard with more transaction features to give short term loans. It is the first fully-automated loan project for the bank. • Built an early warning system which provides extensive tools to monitor branches and products, and forecast trends for time-series parameters such as monthly number of defaults.

- Co-founded a start-up which concentrated on developing CRM and ERP systems for universities, and an online learning platform for students in high schools and universities. The project was funded by the Mongolian Ministry of Education.- The company won a contract from telecom company in Mongolia to develop customer marketing approaches using machine-learning methods and BI system. Worked as the project manager and the data scientist.- Developed software to automate data sorting process and to improve efficiency for analysts in various departments including IT, Marketing, Sales, R&D, and Management teams.- Performed various market segmentation and churn analyses to develop marketing and sales strategies.

- Performed calibration study to upgrade the hardware for particle detector. Developed a user manual for the new detector and its data analysis.- Developed numerous software in C++ for the calibration study. Created additional C++ packages to implement data analysis methods for other scientists.- Performed various tasks to maintain & operate the particle tracking detector. The Central Fiber Detector has around 80 thousand wires. Worked as an expert to troubleshoot during operational problems of the detector.

- Worked as the key developer to maintain silicon detector and to write a data analysis D-tag package for it.- Authored a research paper about form factor and branching fraction measurement of four semileptonic modes. This data analysis is the most important analysis for CLEO-c and also the most precise measurement for the form factors of the D semileptonic decays.

- Developed and maintained a fully interactive physics homework website for undergraduate courses.- Authored complex physics problems for undergraduate students on the department homework webpage.

- Worked as a researcher on non-local quantum field theory.