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Sansit Kabi

@sansitkabi

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Over five years of professional experience in data analysis and visualization,

United States

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What I'm looking for

I’m definitely looking for a position where I can grow—professional development is something that’s really important to me since I hope to take on managerial responsibilities in the future. I’ve been honing my data analysis skills for a few years now and, first and foremost, I’m looking for a position where I can continue to exercise those skills.

With a Master’s degree in Computer Information Systems from Boston University and over five years of professional experience in data analysis and visualization, I have honed my analytical skills and developed a keen insight into data-driven decision-making processes.

I leveraged PostgreSQL, Oracle, and SQL Server to enhance database performance and reporting capabilities. My proficiency in Tableau and Power BI has enabled me to create dynamic dashboards that improve data visualization and insights. Furthermore, involved analyzing large datasets and automating data cleansing processes, which significantly increased efficiency and accuracy in decision-making.

My technical expertise includes advanced knowledge of Python, R, SQL, and various ETL tools, as well as familiarity with cloud technologies and databases like MySQL, and SQL Server. I am also proficient in machine learning and business intelligence, skills that have consistently driven positive outcomes in my previous positions.

Experience

Current

Data Analyst

Current

Assetmark

Jul 2023 - Present (10 months)

Skilled in PostgreSQL, Oracle, and SQL Server for data analysis and reporting. Proficient in Tableau and Power BI for creating dynamic visualizations and dashboards. Utilizes Python, including NumPy, Pandas, Matplotlib, SciPy, and TensorFlow, for in-depth capacity planning and strategic insights.

SQL Salesforce Marketing Analytics Power BI MS Excel Python

Data Analyst

Citi

May 2022 - Apr 2023 (11 months)

Analyzed survey data from 10k customers, using SQL for database optimization—reducing errors by 30% and saving 40% time via ETL processes. Automated data processes in Excel with VBA, boosting decision-making efficiency. Secured 50% more resources by presenting market strategies to executives. Developed a Python-based machine learning model, used R for statistical analysis and visualization.