Data Analyst and Data Engineer with 5+ years of experience in building end-to-end data solutions, developing machine learning models, and driving data-informed decision-making. Specialized in creating and optimizing data pipelines, statistical analysis, and implementing predictive models for business optimization.
- Solid knowledge (4+ years) in Python and SQL, with extensive experience in building and maintaining data pipelines (complex queries, query optimization, data modeling).
- Work experience with data analysis using Python ecosystem (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn).
- Extensive experience in development of machine learning models using Scikit-learn and PyTorch for predictive analytics and customer behavior analysis.
- Extensive experience in database structuring and optimization in both SQL (PostgreSQL, MySQL) and NoSQL environments (MongoDB, DynamoDB).
- Advanced experience with cloud platforms and data warehouses (Databricks, AWS, Google Cloud BigQuery) for large-scale data processing.
- Experience in ETL processes and data pipeline development using Apache Airflow, DBT, and Docker, transforming data from MongoDB to BigQuery and creating relational structures.
- Data pipeline orchestration and workflow automation using Apache Airflow, including:
- Creating DAGs for automated data extraction
- Implementing data quality checks
- Managing dependencies between tasks
- Monitoring pipeline performance
- Strong background in data visualization and dashboard creation (Power BI, Tableau, Metabase, QuickSight, Looker Studio).
- Experience with version control systems (Git) and workflow management.
- Proficient in statistical analysis and data-driven decision making.
- Strong background in KPI definition and monitoring (churn, retention, customer engagement)..
- Experience in creating and maintaining data documentation.
- Experience with statistical analysis and implementation of data-driven solutions, including customer segmentation and churn prediction models.
- Experience in transforming business requirements into technical solutions through data modeling and analytics engineering.
- Experience in conducting statistical analyses including A/B testing methodologies to guide product decisions and marketing strategies.
- Product analytics and user behavior analysis to drive feature optimization and improve conversion rates.
- Advanced Excel (VBA) and Google Sheets (Apps Script) development for process automation.
Machine Learning Certification (DeepLearning.AI & Stanford University)
Deep Learning Certification (DeepLearning.AI)
