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English
$
USD
I will be your data analyst, data scientist, and ai model developer
I analyze data, build AI systems, teach math and coding
Hello! Here are my 4 main credentials:
(1) My mathematical-modeling based Master’s degree has equipped me with a solid analytical foundation,
(2) Via my completion of IBM's Machine Learning and Ge...
About this Gig
Hello!
- Have a lot of data that doesn't make too much sense at the moment?
- Feel like using your data to generate some useful predictions of the future?
If your answer is "Yes" to either one of those questions, try out my Gig! Here is why:
- I am a professional Data Scientist that is well-versed with various Machine Learning and Deep Learning techniques.
- As such, my mission is to tackle various data science problems so that I can paint the underlying meaning to your invaluable data, revealing its key trends and characteristics!
- I make it a point to execute my work with utmost care and attention-to-detail, thus ensuring that my work's outcomes are of top quality.
Let's work together to bring your data to life!
Programming language:
Python
Frameworks:
Scikit-learn
•
Keras
•
Panda
Tools:
Jupyter Notebook
•
TensorFlow
•
Excel
•
Colab
My Portfolio
FAQ
What specific data science services do you offer?
I provide a range of services including data cleaning and preprocessing, exploratory data analysis, predictive modeling, machine learning algorithm development, data visualization, and actionable insights. I tailor the service package to fit your project's needs.
What is your typical workflow and project timeline?
My process begins with understanding your requirements, followed by data exploration and cleaning, model selection and development, and finally validation and delivery of insights. The timeline is based on project complexity—typically varying between 2 days to 10 days.
Which tools and techniques do you use?
I work primarily with Python (using libraries such as Pandas, NumPy, scikit-learn, and Matplotlib). In general, I utilize SQL for data extraction, Seaborn for data visualization, and Streamlit for web application deployment.
How do you ensure the confidentiality and security of my data?
Your data is handled with strict confidentiality. All sensitive data is processed in secure environments and will not be uploaded online or processed using online platforms: your data is accessible only to you and the Jupyter Notebook running on my laptop.
Can you share examples or case studies of previous projects?
Yes, I have worked on various projects—from predictive analytics for cancer datasets to population segmentation in genomics. For added insights regarding my data science / machine learning projects, I can direct you to my GitHub repository upon request.
