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HasiburFahim/README.md

Hi there πŸ‘‹, I'm Md Hasibur Rahman Fahim

πŸ“Š Data Analyst | πŸ“ˆ Data Enthusiast | πŸ’» Problem Solver

I am passionate about uncovering insights from data, solving business problems, and visualizing stories through data. My expertise lies in data analysis, statistical modeling, and building impactful dashboards to enable decision-making. I am a detail-oriented Data Analyst with almost two years of experience in transforming raw data into actionable insights. Proficient in statistical data analysis, data visualization, and database management. Experienced in using SQL, Python, and Power BI to drive effective decision-making. Strong background in the RMG sector, able to work cross-functionally, with the capability of developing insightful reports and presentations. Capable of identifying trends and opportunities that optimize performance and ensure better business outcomes.


πŸ’Ό About Me

  • πŸŽ“ Education: BSs in Computer Science and Engineering
  • 🌱 Currently Learning: Google Analytics 4
  • πŸ“ Location: Dhaka, Bangladesh
  • πŸ“’ Languages: Fluent in English

πŸ› οΈ Tools & Technologies

Data Analysis:
Python | SQL | Excel

Data Visualization:
Power BI | Matplotlib | Seaborn | Google Analytics 4

Databases:
PostgreSQL | MySQL

Others:
Git | Jupyter Notebook | Google Sheets


πŸ“ˆ Key Projects

Here are some of the data analysis projects I’m proud of:

  1. A Comparative Analysis of Amazon Book Ratings using Collaborative Filtering

  2. **Prediction of Compressive Strength of Concrete using GLR SVR and RF **

  3. Chikitsa Nin Real Time Web Based Remote Patient Management System using Internet of Things


πŸŽ“ Certifications

  • Python Basics - Coursera (2020)
  • Machine Learning Foundations: A Case Study Approach - Coursera (2020)
  • Neural Networks and Deep Learning - Coursera (2020)
  • Introduction to SQL - Datacamp (2021)
  • Exploratory Data Analysis with Seaborn - Coursera (2022)
  • Statistical Data Visualization with Seaborn from UST - Coursera (2022)
  • Transfer Learning for NLP with TensorFlow Hub - Coursera (2022)
  • Tweet Emotion Recognition with TensorFlow - Coursera (2022)
  • Getting Started in Google Analytics - Coursera (2022)
  • Working with BigQuery - Coursera (2024)

πŸ“« Let’s Connect!

Popular repositories Loading

  1. Prediction-of-Compressive-Strength-of-Concrete-using-GLR-SVR-and-RF Prediction-of-Compressive-Strength-of-Concrete-using-GLR-SVR-and-RF Public

    Python

  2. Chikitsa-Nin-Real-Time-Web-Based-Remote-Patient-Management-System-using-Internet-of-Things Chikitsa-Nin-Real-Time-Web-Based-Remote-Patient-Management-System-using-Internet-of-Things Public

    PHP

  3. Online-Book-Store Online-Book-Store Public

    It was done in first semester based on C language.

    C

  4. Sentiment-Analysis_System Sentiment-Analysis_System Public

    Python

  5. A-Comparative-Analysis-of-Amazon-Book-Ratings-using-Collaborative-Filtering A-Comparative-Analysis-of-Amazon-Book-Ratings-using-Collaborative-Filtering Public

    Forked from shahriar-rahman/A-Comparative-Analysis-of-Amazon-Book-Ratings-using-Collaborative-Filtering

    Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.

    Jupyter Notebook

  6. Prediction-of-Compressive-Strength-using-Multi-Layered-Perceptron Prediction-of-Compressive-Strength-using-Multi-Layered-Perceptron Public

    Forked from shahriar-rahman/Prediction-of-Compressive-Strength-using-Multi-Layered-Perceptron

    Constructed a MLP Regression, along with data analysis in order to generalize a robust model for predicting the compressive strength of concrete.

    Jupyter Notebook