I will do data science with machine learning techniques
Data analysis that drives smarter decisions and real results
About this Gig
Im a senior-year physics student with 6 months of experience using machine learning algorithms to solve data-driven problems. Do you have raw data and dont understand how to interpret it? I offer quick and personalized solutions for your data-oriented questions. I will perform data analysis using machine learning algorithms like SVM, decision trees, k-nearest neighbors, k-means, etc. I will use python libraries like Scikit-learn, Tensorflow, Numpy, Pandas, Matplotlib and Seaborn for data processing, ML implementations and data visualization. My workflow consists of a diagnostic exploratory data analysis, after which I will start working on a machine learning model to generate custom insights on your data. Finally, I will validate the models accuracy, monitor performance and fine-tune the model according to your needs.
Programming language:
Python
•
R
•
SQL
•
Colab
Frameworks:
Scikit-learn
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PyTorch
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Panda
Tools:
Jupyter Notebook
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TensorFlow
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Excel
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RStudio
FAQ
What kind of data can you work with?
I can work with Excel, CSV, txt and SQL databases.
Will you explain the results to me if I’m not technical?
By all means. I can provide non-technical, easy to understand reports.

