Data Science, Analytics, Visualization | Machine & Deep Learning

Starting at

$

30

/hr

About this service

Summary

𝗧𝗼𝗼𝗹𝘀 & 𝗟𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀:
Python, SQL, Excel, Power BI.
pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn, TensorFlow, Keras, Requests, Selenium, BeautifulSoup.
𝗠𝗟 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀 & 𝗠𝗲𝘁𝗵𝗼𝗱𝘀:
𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Naïve Bayes, Logistic Regression, Random Forest, Decision Tree, XGBoost, KNN, SVM.
𝗥𝗲𝗴𝗿𝗲𝘀𝘀𝗶𝗼𝗻: OLS, SVR, Ridge, Lasso, Random Forest, XGBoost.
𝗖𝗹𝘂𝘀𝘁𝗲𝗿𝗶𝗻𝗴: K-Means, Hierarchical.
𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Neural Networks using Sequential and Functional APIs.
𝗪𝗵𝘆 𝗪𝗼𝗿𝗸 𝘄𝗶𝘁𝗵 𝗠𝗲?
𝗙𝗼𝗰𝘂𝘀𝗲𝗱 𝗼𝗻 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: I customize solutions to meet each client’s specific goals.
𝗗𝗲𝗱𝗶𝗰𝗮𝘁𝗲𝗱 𝘁𝗼 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: I’m committed to learning and delivering top-quality results in every project.
𝗙𝗹𝗲𝘅𝗶𝗯𝗹𝗲 𝗔𝗰𝗿𝗼𝘀𝘀 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀: I adapt to different types of projects and timelines, ensuring efficient and reliable results.
𝗖𝗼𝗺𝗺𝗶𝘁𝗺𝗲𝗻𝘁 𝘁𝗼 𝗖𝗼𝗹𝗹𝗮𝗯𝗼𝗿𝗮𝘁𝗶𝗼𝗻: I prioritize clear communication, kindness, and respect to build trust and foster a long-term, mutually beneficial relationship.

FAQs

  • Can I request a custom service beyond the available package?

    Yes! If your project requires specific needs outside of my listed package, feel free to message me. I can create a custom offer with tailored pricing, scope, and delivery time to fit your requirements.

  • What if I don’t have a clear idea of what I need?

    No problem! You can provide your data, and I will help guide you on the best analysis and visualization options based on your goals.

  • What data formats do you accept?

    I accept various data formats including XLSX, CSV, and JSON. If you have a different format, feel free to ask!

  • Can you work with large datasets?

    Yes, I can handle large datasets. However, please inform me about the size and complexity of your data to ensure timely delivery.

  • How will I receive the final report?

    You will receive the final report as a PowerPoint file, an Excel file, or in Jupyter Notebook format. Additionally, relevant visualizations will be included.

What's included

  • Data Cleaning & Exploration

    I ensure data is accurate, consistent, and reliable by identifying and correcting errors, eliminating duplicates, handling missing values, and standardizing formats. This process lays a strong foundation for meaningful EDA.

  • Data Visualization

    I craft clear, visually appealing graphs and interactive dashboards that make complex data easy to understand. By combining aesthetics with storytelling, I highlight key insights, trends, and patterns. This ensures you can grasp information quickly and act confidently.

  • Model Development

    I develop both basic and advanced models, leveraging algorithms like decision trees, neural networks, and more. By fine-tuning hyperparameters and applying techniques like cross-validation, I achieve higher prediction accuracy (sometimes exceeding 90%), ensuring the predictions are both reliable and actionable.

  • Data Reporting & Insights

    I will deliver a comprehensive summary report that includes actionable recommendations tailored to your project objectives, ensuring you have clear guidance based on the analysis.


Skills and tools

Data Scientist
ML Engineer
Data Analyst
Microsoft Excel
Microsoft Power BI
Python
scikit-learn
SQL

Work with me


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