About me

Certified Data Analyst proficient in tools like Excel, SQL, Power BI and Python.

I am a certified Data Analyst skilled in Excel, SQL, Power BI and Python. I have a passion for using data to uncover patterns, answer important questions and support better decision-making. My approach is detailed oriented, curious and focused on clarity. With a strong foundation in data cleaning, analysis and visualisation, I am committed to delivering clear, accurate and impactful solutions. Let's explore the world of data together and turn your challenges into growth opportunities.

Linkedin
Email
View my Resume

Skills

Below are some of my Technical and Soft Skills .

  • Programming Language(Python)
  • SQL
  • Data Visualisation(Power Bi)
  • Data Cleaning
  • Excel
  • Statistical Analysis
  • Critical Thinking
  • Storytelling

Projects

Explore some of the projects that I have carried out to show my proficiency across different Data Analysis tools. Click on the pictures to view the projects.

Supermarket Sales Analysis using SQL

In-depth analysis of a Supermarket sales performance, customer behavior, and revenue trends using SQL to uncover data-driven business insights..

Titanic Dataset Dashboard (Excel)

An interactive Excel Dashboard exploring survival patterns from the Titanic dataset.
The Dashboard includes slicers and Visual KPIs to analyse survival Rate by sex,Class and Age, It also analyses the Gender and passengers distribution across ports.

Covid-19 Global Impact Dashboard using Power BI

This Power BI project analyzes COVID-19 data with a focus on vaccination rates, death rates, and case trends over time, specific to locations. It explores the relationship between vaccination dates and death rates, tracks new cases and new deaths over time, and visualizes the spread of COVID-19 across regions. The interactive dashboard enables dynamic filtering by location and date, providing clear insights into how the pandemic evolved and the impact of vaccinations in different areas.

Movie Recommendation Project using Python

A python collaborative filtering model built with the MovieLENS 100K dataset. Generates personalised movie suggestions based on user rating patterns.