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Work Experience
Data science and engineering professional with expertise in machine learning, cloud platforms, and modern data stack implementations. Currently working as a consultant helping organizations optimize their data infrastructure and analytics capabilities.
Experience
- Data Science and Engineering Consultant [January 2023 - Present]
- Optimized database queries and ETL pipelines while migrating legacy systems to modern data infrastructure and providing ML/data engineering training.
- Data Engineer @ Hearts & Science [September 2020 - January 2023]
- Built data applications and ML models for major clients while establishing and maintaining a scalable JupyterHub environment and AWS infrastructure for 100+ users.
- Artificial Intelligence Instructor @ MPercept Academy [March 2020 - August 2020]
- Designed and taught curriculum for a comprehensive 6-month Machine Learning and Deep Learning program.
- Assistant Instructor - Data Science @ NMB Bank [January 2020 - February 2020]
- Presented fintech professionals on data science concepts, analytics tools, and practical applications while supporting hands-on learning activities.
- Machine Learning Engineer @ MPercept Technology [July 2019 - August 2020]
- Developed diverse ML solutions including Nepali language models, facial detection systems, chatbots, and PySpark-based analytics for predictive maintenance and user behavior
- AI Fellow @ Fusemachines [June 2017 - December 2018]
- Applied AI algorithms to game-solving challenges and completed to projects in computer graphics and robotics.
Education
- BSc. Computer Science & Information Technology [St. Xavier’s College]
- Micromasters in AI (Online) [Columbia University]
Think my experience aligns with your needs? or got any questions that I can help with? Let’s connect.