Overview

I'm a Data Analyst whose innate curiousity lead to Data Analytics where I fell in love. I've always been fascinated by numbers, and working in data analytics has been a long-term goal of mine. My research analytical background in Biochemistry has taught me to think strategically about problems and identify solutions.

I have developed a strong foundation in the life sciences and a passion for using data to uncover meaningful insights. My analytical approach focuseson solving real business problems. Using Python, I perform data transformation, data automation, exploratory data abalysis and statistical analysis to better understand data behaviour and relationships. With SQL, I extract and manipulate data through techniques such as joins,aggregate functions, CTEs, and window function to uncover patterns in large datasets. Using Excel, I build analytical models using Pivot Tables, formulas and dynaic dashboards to evaluate performance metrics and operational efficiency. I also develop Power BI dashboards that transform data into interactive visual stories, enabling decision-makers to monitor KPIs, tracj trends and quickly identify areas that require attention.

By combining analytical thinking with strong data visualization and storytelling skills in my projects, I demonstrate how data can be used to improve revenue strategies, optimize operations, and enhance customer experience. My goal is to help organizations mve beyond guesswork by providing clear, actionable insights backed by data.

Skills

  • Languages: Python, SQL
    • Python: Pandas, NumPy, Matplotlib, Seaborn, SciPy, BeautifulSoup, Selenium, DateTime.
    • SQL: Create, Alter, Insert, Select, Update, Merge, Drop, Truncate, Delete, Joins, Subquery, CTE, Temp Tables, Indexes, Windows Functions, Aggregate Functions, Views, Stored Procedures.
  • Excel: Pivot tables, formulas (X-Lookup, IF, aggregates and others), data validation, and conditional formatting.
  • Databases: SQL Server, MySQL
  • BI Tools: Power BI(DAX, data visualization, data modelling)
  • Documentation Tools: GitHub
  • Other: Project Management, Docker, Git, GitHub Action

Certifications

Contact information