
Ganbayar Damdindorj

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About me
Ⓘntelligence ⎈rchestration
Education

National University of Mongolia
2016 - 2020Bachelor of Science - BSc Statistics• Algorithms• Probability Theory• Multivariable Calculus• Ordinary Differential Equations• Mathematical Statistics• Statistical Programming• Parametric & Nonparametric Statistics• Statistical & Mathematical Modelling• Statistics Linear Model & Variance Analysis• Linear Programming• Financial & Applied Econometrics• Time Series Analysis• Multiple Factor Analysis• Numerical Methods• Additional Topics In Probability Theory• Random… Show more • Algorithms• Probability Theory• Multivariable Calculus• Ordinary Differential Equations• Mathematical Statistics• Statistical Programming• Parametric & Nonparametric Statistics• Statistical & Mathematical Modelling• Statistics Linear Model & Variance Analysis• Linear Programming• Financial & Applied Econometrics• Time Series Analysis• Multiple Factor Analysis• Numerical Methods• Additional Topics In Probability Theory• Random Process• Stochastic Differential Equations• Artificial IntelligenceThesis: Optimal Portfolio Selection Models and Implementation •Mean-Variance & VaR allocation •Telser's Safety-First allocation •Extreme Value Theory •Robust Bayesian allocation •The Black-Litterman allocationStudent Research: Mongolian stock market volatility with Miles Ezell and Modiglani Miller adjustment Show less
Experience
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Machine Learning UB (MLUB)
May 2019 - nowActivities: Kaggle data competitions, AI Wix, MLUB Night, Kaggle Days Meetup-Ulaanbaatar, Women in Data Science and Pie & AI-Ulaanbaatar... Contributing organized MEETUPS & CONFERENCES such as Pie & AI-Ulaanbaatar, MLUB Night, Kaggle Days Meetups. Participated in Kaggle Data Competitions.
Member, Activity Coordinator
Aug 2021 - nowContributor
May 2019 - now

ITZoneLLC
Sept 2020 - Jan 2021Data Analyst | Data Engineering⦿ Research Research about features and capabilities of self service technologies such as Knime, H2O, Alteryx, Talend, Tableau Prep etc that meets customer's cost-effective, integrates more seamlessly with the customer's existing software systems and data sources requirements.• Focused on Functionality, Ease of use, Cost, Integration and Scalability. ⦿ ImplementationDefined the customer's business requirements, goals, and data-related challenges. Tested in a controlled environment to make sure it meets customer's needs and works as expected. Worked on PoC data analyses and machine learning algorithms to evaluate the platform's performance and capabilities. Customized it to meet the customer's specific needs such as configuring server side settings and workflows, setting up connectors to various data sources.⦿ In January 2021, Novelsoft LLC became a subsidiary of Mogul Group ( ITZone LLC ), which is responsible for Data and Software Development. After the Mogul Group restructuring, I worked at Novelsoft LLC on Data Scientist position. Show less

Novelsoft
Jan 2021 - Feb 2023Data ScientistShifting a position in Mogul Group, I worked on several mission critical projects.⦿ Bigdata Implementations: Managed Service• Contributed to set up Cloudera Private Cloud on Bare Metal and VM's for several enterprise customers. Configured Kerberos and TLS/SSL Secured Hadoop Cluster, Integrated and maintained 15+ managed services such as Spark, Kafka, Kudu, Hive, Atlas etc using Cloudera Manager. • Designed Data Warehouses and Data Marts on Cloudera Data Lake Ecosystem. Migrated several core RDBMS's of databases with 1000+ tables such as Oracle and PostgreSQL for the customers to Cloudera Columnar Storage - Kudu, and Fault-Tolerant data formats (Parquet, TextFile etc) of Hive using Talend Big Data Integration Tool and Cloudera Sqoop.• Implemented and automated fast analytics and machine learning algorithms such as Risk Scoring Algorithms, Customer Segmentation and Graph relations using self service techs.• Contributed to each of the professionals in Distributed Systems Configs, Data Engineering Pipeline, and Machine Learning Development.• During the projects I gained a lot of experience that about distributed systems. ⦿ Big Data Implementation: Customized Delivery • Developed Labor Market Platform for create the easiest way to find a new jobs in Mongolia. Help and recommend to Mongolian employee find jobs, employment and career opportunities in real time. • Installed Containerized Spark cluster with Docker Swarm, configured the default configs for the cluster performance. Worked on Confluent Kafka Consumer and Producer API's with PySpark Streaming API integration.• Research about recommendation algorithms, Implemented it on containerized spark applications and deploy to Spark cluster using Bitbucket CICD pipeline. The recommender system works as real time backend service. Show less

NomadicWhale.ai
Jun 2022 - nowFocus will be on building ☸ ⚛ using the following technologies.• Kubernetes • Terraform • Ansible • Airflow • MLflow • Kubeflow • DVC• Apache Iceberg • Delta Lake • MinIO• Prometheus • Grafana• Flux • Argo • Isto • Helm • Kustomize • Tekton
AI | ML Platform Engineering
Jan 2024 - nowDistributed Systems Engineer
Jun 2022 - Mar 2025

AI Rookies
Dec 2022 - Mar 2025AI Rookies building better the world with AI • ML backend infra AI Rookies building better the world with AI • Computer Vision • LLM
CDO | Data Executive
Feb 2024 - Mar 2025SRE | Devops Engineer
Jun 2023 - Mar 2025Machine Learning Engineer
Dec 2022 - Mar 2025

CoreQA
Mar 2025 - nowR&D
Licenses & Certifications

Basic Proficiency in KNIME Analytics Platform
KNIMEDec 2020- View certificate

Alteryx Designer Core Certified
AlteryxJan 2021 
Proficiency in KNIME Software for Collaboration and Productionizing of Data Science
KNIMEJan 2021- View certificate

Sequences, Time Series and Prediction
DeepLearning.AIFeb 2021 - View certificate

Extending Hadoop for Data Science: Streaming, Spark, Storm, and Kafka
LinkedInJan 2021 
Advanced Proficiency in KNIME Analytics Platform
KNIMEDec 2020- View certificate

Graph Analytics for Big Data
CourseraMar 2021 - View certificate

Custom Models, Layers, and Loss Functions with TensorFlow
DeepLearning.AIFeb 2021 
Real Time Spark Application: Hadoop, Spark, Docker
UdemyJan 2022
Processing Streaming Data Using Apache Flink
PluralsightMar 2022
Honors & Awards
- Awarded to Ganbayar Damdindorj1st place : Academic Conference Financial Regulatory Commission of Mongolia Nov 2019 Mongolian stock market volatility with Miles Ezell and Modiglani Miller adjustment
Volunteer Experience
Member
Issued by Machine Learning UB (MLUB) on Aug 2021
Associated with Ganbayar DamdindorjVolunteer Staff
Issued by CISV Mongolia on Mar 2023
Associated with Ganbayar DamdindorjCore Member
Issued by Hackum Students Club on Oct 2017
Associated with Ganbayar Damdindorj
Languages
- enEnglish
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