I will build predictive analytics and machine learning models in python
Aspiring Data Analyst
About this Gig
Whether you need to forecast sales, predict customer churn, classify risk, or uncover hidden patterns in your data, I build custom, high-accuracy machine learning models tailored to your specific business problem not generic templates.
What I Can Do For You:
Supervised Learning Classification & Regression models to predict values, prices, churn, or risk scores
Unsupervised Learning Clustering & segmentation to group customers by behavior or detect anomalies
Data Preprocessing & Feature Engineering Cleaning messy data, handling missing values, normalization, scaling, and selecting the best features to maximize accuracy
Model Training & Evaluation Using industry-standard algorithms (Random Forest, XGBoost, Logistic Regression, Decision Trees, SVM, K-Means) and evaluating with proper metrics (Accuracy, Precision, Recall, ROC-AUC)
Tech Stack: Python, Scikit-Learn, Pandas, NumPy, Matplotlib, Seaborn, Jupyter Notebook, SQL
Why work with me?
Clear communication I explain results in plain language, not just code
Fast turnaround without cutting corners
Clean, documented, reusable code not a black box
Not sure which package fits your project? Message me before ordering and I'll help you scop
Programming language:
Python
•
MATLAB
Frameworks:
Scikit-learn
•
Google ML Kit
•
Panda
APIs:
Microsoft Computer Vision AI
•
Azure Face API
Tools:
Jupyter Notebook
•
OpenNN
•
Excel
•
MLflow
