Hi! I'm Yasir Savanur.

I’m an aspiring Data Analyst with over two years of experience in the Education, Tech and Manufacturing sectors. Currently, I’m pursuing a Master’s degree in Business Analytics at Aston University, building on my Mechanical Engineering background from Coventry University. I’m eager to connect and collaborate with like-minded professionals, so feel free to drop me a message below or connect with me on LinkedIn. Cheers!

My Skills

Python SQL Excel Tableau Power BI PySpark

End-to-End Project Repositories

Here are some of the recent personal projects and case studies I did over the years

MegaWidget Cashflow Analysis

GitHub repository

This project involves developing and testing a dynamic spreadsheet to support and model financial decision-making for a small computer manufacturing company

Excel power query vba dashboard

2019 Technology Trends and Analysis

GitHub repository

This repo showcases dashboards and visualisations built from the Stack Overflow Developer Survey 2019. I used data storytelling to highlight key tech trends and insights through interactive visuals and concise slides.

Python beautifulsoup Tableau IBM Cognos

US Domestic Flight Performance Analysis

GitHub repository

This repo contains interactive dashboards analysing US domestic flights (1987–2020). Explore delays by airline, monthly trends, and key performance insights using Plotly and Dash.

Python plotly dash pandas

Here is some of my best work that received the most votes on Kaggle and Tableau Public.

Visualising Indians & Chinese Immigration to Canada

Explore the migration patterns of Indians and Chinese to Canada from 1980 to 2013 through captivating visualisations. This project utilises Matplotlib to create diverse plots such as line plots, histograms, bar charts, box plots, bubble plots, waffle charts, regression plots, and maps. Gain valuable insights and hands-on experience in data visualization while uncovering trends and patterns in migration dynamics.

Data Analysis of Diabetes patients of Pima Indians

Explore data analysis of diabetes patients from the Pima Indian heritage to predict diabetes occurrence. With a broader perspective, analyse the dataset through the lens of a dietitian, bridging the gap between datasets and human knowledge.

EDA of Automobile Data from the 1985 Ward's Automotive Yearbook

This project showcases the EDA of automobile data from the 1985 Ward's Automotive Yearbook. Using Python libraries and EDA techniques, we explore fuel consumption rates, factors influencing car prices, trade-in evaluations, and customer appraisals. The project highlights utilisation of Matplotlib in data analysis, and car purchasing insights.

Bangalore Accidents Geo-Spatial Analysis

Explore the patterns and trends of Bangalore accidents using geo-spatial analysis. This Tableau project utilises data from Collision Avoidance Systems in BMTC buses to identify factors contributing to accidents, evaluate warning system effectiveness, and provide targeted safety recommendations. Gain insights from interactive visualisations on Tableau Public.

Stack Overflow Developer Survey 2019 - Technology Trends and Analysis

Gain valuable insights into technology trends and future preferences of developers worldwide through interactive dashboards created using Tableau. Explore top programming languages, databases, platforms, and web frameworks, as well as demographics based on gender, countries, age, and education level. This project showcases data visualisation and analysis skills on Tableau Public, providing a comprehensive view of the Stack Overflow Developer Survey 2019.

Prediction of House Sales in King County, USA

This project utilises Python-DA techniques to predict house sales in King County, USA, providing valuable insights into the housing market. Through regression models and interactive dashboards created with Tableau, it offers a comprehensive analysis of factors influencing housing prices, empowering users to make informed decisions.

If you’d like a copy of my CV, please drop a message below and I’ll get back to you promptly.


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