I will do data analysis, eda and build machine learning models
Data Scientist, Python, SQL, Machine Learning
Over deze dienst
Turn your raw data into clear insights and reliable predictions.
I'm Sahil, a data science freelancer specializing in Python, SQL, Pandas, and Machine Learning. I help businesses clean messy data, uncover patterns through exploratory data analysis (EDA), and build predictive models that solve real problems.
What I offer:
Data cleaning & preprocessing
Exploratory Data Analysis (EDA) with clear visualizations
Machine Learning models Classification, Regression, and more (Logistic Regression to XGBoost)
Model deployment as a working demo app (Streamlit) or API (FastAPI) for direct integration
Well-documented, clean source code
I've worked on real-world datasets like Olist's e-commerce data analyzing customer behavior, delivery patterns, and building predictive models from it.
Whether you need a quick data report or a full ML pipeline, I focus on clear communication, accurate work, and on-time delivery.
Message me before ordering if your project needs something custom happy to discuss and scope it out together.
Expertise:
Classificatie
•
Churn
•
clustering
•
Beslissingsbomen
Programmeertaal:
Python
Frameworks:
Scikit-learn
•
Panda
•
Overige
Tools:
Jupyter-notitieboek
•
Excel
•
Colab
Veelgestelde vragen
What kind of datasets can you work with?
I can work with CSV, Excel, or SQL data — e-commerce, sales, customer, or any structured business data. Just share your file and I'll take it from there.
Do I need to have technical knowledge to use your service?
Not at all. I'll explain the insights and results in simple, easy-to-understand terms — no coding background needed on your end.
What if my project needs something different from the packages listed?
No problem — message me before ordering with your requirements, and I'll create a custom offer that fits your needs.
Will I get the source code along with the results?
Yes, source code is included in the Standard and Premium packages, along with clear documentation.

