Earned 3/6 badges in Snowflake’s free Hands-On Badge Series:

Badge 1 – Data Warehousing Workshop Mastered fundamental database concepts, cloud-based databases, and security basics. Hands-on experience creating databases, loading data using SQL and COPY INTO, and working with semi-structured data formats like JSON and XML. Verify credential

Badge 3 – Data Application Builders Workshop Built end-user applications powered by Snowflake’s backend capabilities using Streamlit, Python, GitHub, and REST APIs. Developed data-driven interfaces, worked with Internal Named Stages, and completed a capstone project integrating all skills. Verify credential

Badge 4 – Data Lake Workshop Explored Snowflake’s data lake capabilities for working with data beyond traditional loaded tables. Mastered handling of non-loaded data, unstructured data, and GeoSpatial formats including Parquet, GeoJSON, and image data with custom functions and GeoSpatial analysis. Verify credential

Earned 5 certifications in Neo4j’s GraphAcademy program:

Importing Data Fundamentals Comprehensive data import techniques for JSON and XML data formats, using APOC procedures for data loading, data transformation during import, and production data migration best practices. Verify credential

Importing CSV Data into Neo4j Hands-on training for data import workflows: preparing and cleaning CSV files, using LOAD CSV and APOC procedures, handling large datasets, and transforming relational data into graph structures. Verify credential

Graph Data Modeling Fundamentals Learned graph data modeling best practices: translating business requirements into graph models, identifying nodes/relationships/properties, and avoiding common modeling pitfalls. Verify credential

Neo4j Fundamentals Foundation course covering graph database concepts, the property graph model, Neo4j architecture, and basic graph data structures. Verify credential

Cypher Fundamentals Mastered Neo4j’s graph query language including writing queries to create, read, update, and delete nodes and relationships, pattern matching, filtering, aggregation, and sorting. Verify credential

Comprehensive data science specialization covering:

• Introduction to Data Science in Python
• Applied Plotting, Charting & Data Representation
• Applied Machine Learning in Python
• Applied Text Mining in Python
• Applied Social Network Analysis

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Professional certification in Mergers & Acquisitions covering:

• M&A deal structuring and valuation methodologies
• Financial modeling and due diligence
• Legal and regulatory frameworks
• Post-merger integration strategies

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Chartered Financial Analyst Level I examination covering:

• Ethical and Professional Standards
• Quantitative Methods
• Economics and Financial Reporting
• Corporate Finance and Equity Investments
• Fixed Income and Derivatives

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