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LeMagnifiq/README.md

Hi there πŸ‘‹, I'm Suleyman Yahaya!

I'm a dedicated Data scientist/data analyst with a profound interest in Data Science, Machine Learning, and Analytics. I've honed my skills in Python, R, and SQL, and have hands-on experience with machine learning frameworks like TensorFlow and PyTorch.

About me

πŸ”­ I'm constantly working on improving my data science skills, and applying them to solve real-world problems.

🌱 I'm currently expanding my knowledge in every aspect of Data Science to better equip myself in this rapidly advancing field.

πŸ’¬ Feel free to ask me about Data Science, Machine Learning, Analytics, or any other topics in my area of expertise.

πŸ“« You can reach me through the following methods:

πŸ‘‰ Check out my Tableau Public profile: Suleyman Yahaya

My GitHub stats

Suleyman Yahaya's GitHub stats

Languages and Tools

I use the following programming languages and tools on a regular basis:

  • Python
  • R
  • Tableau
  • Microsoft Power BI
  • Salesforce
  • Microsoft Excel

Recent Projects

In my previous role as a Data Analyst at Rackspace Technology, I evaluated business trends to track KPIs, understand, and highlight findings, and recommend changes to stakeholders leveraging Business Intelligence tools like Excel, Salesforce, Qlik-Sense, and Power BI.

Here are some highlights from my work:

  • Built Salesforce dashboards to redefine and track KPIs surrounding sales initiatives and supplied insights, boosting bookings by 40%.
  • Worked with stakeholders to develop data-driven marketing campaign strategies resulting in a 600% increment in ROI.
  • Constructed efficient real-time reporting infrastructure that eliminated monthly hours of manual reporting using Excel Macros, Pivot tables, and LOOKUP functions.
  • Evaluated the performance of business products by identifying trends leading to a rise in monthly, quarterly, and yearly targets from 2X to 4X.
  • Produced reports on Excel to identify clients likely to require future service or renewal, providing insight to Customer Success teams, thereby increasing revenue by 35% and reducing churn by 20%.

Pinned Loading

  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Jupyter Notebook

  2. WaterPotabilityPredictor WaterPotabilityPredictor Public

    Water Portability prediction

    Jupyter Notebook