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Nahidf21/README.md

👋 Hi, I’m Nahid Ferdous

👀 I am passionate about Python development, SQL SERVER, POWER BI, data analysis, machine learning, deep learning, and data science.

🎓 I graduated with a Master's in Data Science from Texas Tech University in May 2024.

💞️ I’m looking to collaborate on any data related projects, particularly those involving machine learning, deep learning, Extract Transform Load, data analysis, and database management.

📫 Reach me at nahid.mferdous@gmail.com

📝 About Me

I am an expert in Python programming with a strong grasp of object-oriented principles (OOP) and have solid experience in SQL server, R, and SAS. I have worked with web scraping using BeautifulSoup and completed deep learning and machine learning projects using TensorFlow. I possess a strong foundation in statistics and have extensive experience with relational databases. I am passionate about feature engineering, exploratory data analysis (EDA),multivariate data analysis, and data visualization.

🚀 Core Competencies

  • 📊 Exploratory Data Analysis (EDA)
  • 🛠️ Feature Engineering
  • 📉 Multivariate Data Analysis
  • 🤖 Machine Learning )
  • ☁️ AWS, Google Cloud API
  • 📈 Data Visualization
  • 📅 Scrum
  • 🤖 Deep Learning
  • ☁️ web Scrapting - BeautifulSoup
  • 🛠️ OOP

💻 Technical Skills

  • 🐍 Languages: Python, R, SAS, MySQL, C++
  • 📊 Tools: Power BI, Arduino

📊 Programming Languages Used

Python R SQL SERVER C++ SAS

📂 Projects

🎤 Voice-Based Customer Recommendation System

Developed using GPT-3.5 Turbo and Google Cloud API for feature extraction and classification analysis.

🔍 Multivariate Data Analysis

Cleaned data, reduced dimensionality with PCA, and performed clustering analysis using K-means and hierarchical clustering.

⚽ Database for European Football Leagues

Created using MySQL, focused on ER modeling and data normalization to 3NF.

🍽️ Restaurant Reservation System

Developed a system with features for table search, reservation, and user registration.

🚪 Face Recognition Door Lock System

Integrated AWS services and BOTO3 with Python on Raspberry Pi 4.

💼 Work Experience

📚 Graduate Teaching Assistant

Texas Tech University (Jan 2024 – May 2024)
Guided undergraduates in database management concepts including ER modeling and data mining with MySQL.

💡 Data Analyst Intern

Cogent Infotech (May 2022 – Dec 2022)
Cleaned and modeled data, applied machine learning libraries, created Tableau dashboards, and worked with SQL.

🌳 Research Associate and Technical Specialist

Daffodil International University (Dec 2017 – Dec 2020)
Analyzed drone data for forest insights and demonstrated strong problem-solving and leadership skills.

📫 Contact Me

Feel free to reach out via LinkedIn or email me at nahid.mferdous@gmail.com. You can also check out my projects and contributions on GitHub.

Profile Views

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  1. Optimizing-Patient-Flow-Doctor-Utilization-in-an-Emergency-Room-through-Discrete-Event-Simulation- Optimizing-Patient-Flow-Doctor-Utilization-in-an-Emergency-Room-through-Discrete-Event-Simulation- Public

    Optimize ER patient flow and doctor utilization using simulation over 20 days. Address challenges in prioritizing patients needing immediate attention (NIA) and those who can wait (CW). Analyze pat…

    1

  2. Leveraging-Machine-Learning-for-Predictive-Analytics-in-Automotive-Sales Leveraging-Machine-Learning-for-Predictive-Analytics-in-Automotive-Sales Public

    This study leverages machine learning to analyze automotive sales through voice data, employing models like Random Forest and Bagging for predictive accuracy. It highlights ML's potential in transf…

    Jupyter Notebook 1

  3. Agriculture-Yield-Data-Analysis Agriculture-Yield-Data-Analysis Public

    This project investigates the impact of environmental factors like precipitation, pesticide usage, and temperature on agricultural yields across various countries over several years. Utilizing data…

    Jupyter Notebook 1

  4. The-2018-Winter-Olympics-medal-prediction-for-the-host-country- The-2018-Winter-Olympics-medal-prediction-for-the-host-country- Public

    The project explores Olympic history from 1896 to 2016, predicting medals for the host country in the 2018 Winter Olympics. Using data from Kaggle, it includes athlete events and NOC regions. The a…

    Jupyter Notebook 1

  5. Unravelling-the-Complexities-of-Student-Stress-Factors Unravelling-the-Complexities-of-Student-Stress-Factors Public

    This project explores factors affecting student stress using data on psychological, physiological, social, environmental, and academic aspects. Techniques like PCA and K-Means clustering identified…

    1

  6. European-Football-Model-MySQL European-Football-Model-MySQL Public

    The FCP Project by Group 21 (G21) of TTU-Data Science, completed on August 2, 2023, aimed to create and populate a MySQL database for European football fixtures.

    1