Logical Data Analyst skilled in requirement analysis, software development and database management. Self-directed and proactive professional with 2 years of vast experience collecting, cleaning and interpreting data sets. Natural problem-solver possessing strong cross-functional understanding of information technology and business processes.
SQL, Python, R, HTML, JavaScript, CSS, MS Visio, ER-win, T-SQL, Dynamic SQL, MDX, DAX, BIDS, SSDT, SSMS, SSIS, SSAS (OLAP Cubes, Tabular Model), Jitterbit, Precision LM, SQL Server Reporting Services, Power Platform (Power BI, Power Automate, Power Apps, Power View, Power Query), Excel Power BI, MS Azure (IaaS, PaaS, and SaaS), MS DevOps, Azure SQL, Azure Data Factory, PowerShell
SENIOR CAPSTONE PROJECT: MICROSOFT (mentor), 01/2021, 12/2021,
Gained hands-on project management and development skills by regularly participating and contributing towards weekly meetings, which were sponsored and held by Microsoft. Improved a Text-to-SQL Natural Language Processing model as a team, which automatically translates the user’s natural language English questions into an executable SQL query for a database. Played a key role in enhancing the model with a suggestion system for the next relevant word, and the model is further extended to support different forms of SQL.
Data Science: Protein Sequence Clustering, 08/2021, 12/2021,
Built similarity networks to analyze and interpret data to identify trends, patterns and classify SARS-CoV and SARS-CoV-2 proteins by using Network Clustering. Applied an all-nearest-neighbors network model to protein sequence data and examined the structural properties of the networks by comparing the model against threshold-based networks to validate their semantic equivalence.