Data Scientist
Arloid Automation
Total des années d'expérience :10 years, 4 Mois
- Designed and implemented data pipelines that turn data into actionable results;
- Created and maintained ETL/ELT pipelines;
- Python coding: backend stuff (api-s, database, etc.) as well as standard range of ML libraries (Pandas, Numpy, PyTorch, Tensorflow, Scikit-learn, etc.);
- Processed data: discovery, collection, preparation, cleansing, structuring, patterns identification, feature engineering, etc.;
- Deployed end-to-end machine learning solutions and maintained them;
- Managed scaling and troubleshooting of machine learning deployments;
- Drove models into production;
- Worked with AWS: launched training on EC2, worked with S3 data lake, managed stacks, etc.;
- Prepared reports based on data analytics to measure effectiveness of features and tools;
- Worked with cross-functional teams, reported to stakeholders.
- Using Python, VBA, Salesforce and Google Query language to keep track of leads;
- Web scraping;
- Data analysis, market analysis.
Market research,
Cold leads outreach,
Sales Managers support.
Marketing analytics and research using classic statistical methods;
Managing custom-made CRM and database.
Data analysis and analytics.