Hi, I'm Md. Siddiqur Rahman, a passionate data science enthusiast with a keen interest in uncovering insights from complex datasets. I enjoy working on end-to-end data science projects, from data collection and cleaning to modeling and visualization. My focus is on creating data-driven solutions that make a meaningful impact.

• Languages: Python, HTML, CSS
• Data Analysis: pandas, numpy, SQL, Excel
• Database: SQLite, MongoDB
• Version control: Git, GitHUb
• Data Visualization: matplotlib, seaborn, Plotly
• Machine Learning: scikit-learn, statsmodels, linearmodels
• IDE: VS code, Jupyter notebook, Kaggle
• Data Engineering: ETL
• More Tools: Word, Powerpoint

• Problem-Solving: Strong analytical and critical thinking skills.
• Collaboration: Experience working in multidisciplinary teams.
• Communication: Ability to explain complex concepts in simple terms.
• Project Management: Skilled in Agile methodologies and project coordination.

• Company: Mentorness
• Duration: April, 2024 - May, 2024
• Credential: Certificate
• Responsibilities:
  • Authored and presented a technical article on a machine learning topic to internal and external stakeholders.
  • Built and evaluated a machine learning model to predict mobile phone price classes, using data preprocessing, feature engineering, and model assessment techniques.
  • Analyzed the ICC Men's T20 Cricket World Cup dataset, creating visualizations to identify and present key insights.
  • Deployed a machine learning model to a production environment, ensuring functionality and reliability. Collaborated with stakeholders to validate the deployment process.

• Built a predictive model to classify mobile phones into predefined price ranges, using attributes such as battery power, camera features, memory, connectivity options, and more.

• Developed five distinct models: Logistic Regression, Support Vector Classifier, Decision Tree Classifier, Random Forest Classifier, and Gradient Boosting Classifier.

• Conducted hyperparameter tuning and cross-validation using grid search to optimize model performance.

• Deployed the best-performing model, which achieved a 98% accuracy rate, using Streamlit for interactive visualization and user interaction.

• Created an intuitive interface to allow users to interact with the model, providing real-time predictions and insights based on specific mobile phone attributes.

• Tech Stack: Python, pandas, scikit-leran, matplotlib, streamlit

• Key Learnings: Data preprocessing, feature engineering, model evaluation, data analysis, data visualization

• Live: Mobile Price Classification

• GitHub Repo: Link to repo

• Jupyter Notebook: Link to Kaggle

• Analyzed a comprehensive dataset from a major cricket tournament, focusing on batting and bowling statistics.

• Identified and explained key batting metrics, including most runs scored, highest strike rates, and best batting averages, across different teams, innings, and individual players.

• Evaluated key bowling metrics, such as most wickets taken, lowest economy rates, and lowest average runs conceded, contextualizing the data by innings, teams, and individual bowlers.

• Conducted in-depth analysis of additional features, including most boundaries hit, to provide comprehensive insights into the tournament's performance trends.

• Tech Stack: Python, pandas, plotly, matplotlib, dash, gunicorn

• Key Learnings: Data preprocessing, Data Analysis, Data Visualization

• Live: ICC Men's T20 Cricket 2022 Data Analysis

• GitHub Repo: Link to repo

• Jupyter Notebook: Link to Kaggle

• Bachelor of Science in Economics

  • University: Jahangirnagar University
  • Graduation Year: 2021
  • Relevant Coursework: Econometrics, Data Visualization, Statistics, Linear Algebra, Calculus

• Certification in Data Science

  • Organization: World Quant University
  • Completion Year: 2023
  • Description: A comprehensive data science certification covering various data science and machine learning topics. The tools to interact with databses (i.e., mongodb, sqlite) are also important features.
  • Credential: Credly Badge

• Certification in Python

  • Organization: Harvard University
  • Completion Year: 2023
  • Description: A Python course with David Malan introduces foundational topics like functions, variables, conditionals, and loops. It includes practical training in reading, writing, testing, and debugging code, with a focus on exception handling and unit testing. The course also covers regular expressions for data manipulation, object-oriented programming to model real-world entities, and file operations for reading and writing files. Third-party libraries are explored to extend Python's capabilities, equipping students with the skills to address real-world coding challenges.
  • Credential: Certificate

• Certification in Python (Crash Course)

  • Organization: Google (Coursera)
  • Completion Year: 2021
  • Description: A Python programming course designed for beginners covered foundational concepts, emphasizing the benefits of Python in IT. It included basic syntax and hands-on practice with different code editors, allowing exploration into writing computer programs. The course demonstrated that with the right code, computers can accomplish a lot.
  • Credential: Certificate

• LinkedIn: Md. Siddiqur Rahman
• Kaggle: Md. Siddiqur Rahman
• Email: [email protected]

I'm open to collaboration and enjoy discussing all things data science. Don't hesitate to reach out!