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Data Expert
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Data Expert
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Achievements

Achievement: StarstruckAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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Expert610/README.md

Muhammad Yasir (Expert610)

Data Analyst / Data Science · Power BI · Python · SQL · Excel
I turn raw data into clear insights and decision-ready dashboards—focused on measurable outcomes and clean, reproducible analysis.

Open to: Data Analyst · BI / Power BI · Junior Data Scientist roles
LinkedIn: https://www.linkedin.com/in/muhammad-yasir-a63146297
Personal Website: https://muhammadyasir.me/ Email: yaisikhan111@gmail.com
Location: Pakistan

Core strengths

  • Power BI & DAX: KPI dashboards, interactive reports, drilldowns, data modeling (star schema)
  • Data analysis with Python: cleaning, EDA, visualization, notebook/report automation
  • SQL & Excel: queries, validation, reporting workflows, business-friendly outputs

Featured projects

1) Power BI Dashboard — Global Inflation Analysis

Goal: global inflation trends from 1980 to 2024. Highlights:

  • Country Page: Top 5 highest and lowest inflation countries.
  • Time Page: Decade-wise inflation trends and distribution categories.
  • Region Page: Regional comparisons of inflation.
  • Summary Page: Key KPIs (average, median, volatility).

Tech: Power BI · DAX · Power Query · SQL · Excel

2) Python Data Science — SMS Spam Detection using Deep Learning

Goal: The model classifies SMS messages as ham (non-spam) or spam based on text preprocessing and supervised learning. Highlights:

  • Evaluation Metrics ✅ Accuracy: 96.14% 🎯 Precision (Spam): 1.00 📢 Recall (Spam): 0.71 ⚖️ F1-Score (Spam): 0.83

Tech: Python · pandas · NumPy · NLTK · Keras · matplotlib/seaborn · Jupyter

3) SQL Case Study — Sakila SQL Analysis

Goal: The goal of this project is to explore database analysis techniques, improve SQL skills, and gain insights from real-world structured data.
Highlights:

  • Used CTEs, joins, window functions.
  • Structured queries for readability and performance
  • Analyzing customer and rental trends
  • Practicing subqueries, views, and analytical functions

Tech: SQL · MySQL

Tech stack

  • Languages: Python, SQL
  • BI: Power BI (DAX, Power Query)
  • Data: pandas, NumPy, Matplotlib, Scikit-learn, Scipy, Keras, Pytorch
  • Tools: Excel, Git/GitHub, Figma, Azure/AWS.

Contact

Last updated: 2026-04-01

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