You will get An end-to-end ML workflow with analytics and prediction capabilities
Project details
I will develop a machine learning and predictive analytics solution tailored to your business or dataset using Python and modern ML tools.
This project can include:
• Data cleaning and preprocessing
• Predictive modeling
• Forecasting and classification
• Feature engineering
• Automated ML workflows
• KPI reporting and visualization
Supported use cases:
• Customer churn prediction
• Sales forecasting
• Risk scoring
• Customer segmentation
• Operational analytics
• Classification and regression problems
Tools & Technologies:
Python • Scikit-learn • XGBoost • Pandas • Streamlit • SQL
I focus on building clean, business-oriented solutions with clear communication and fast turnaround.
This project can include:
• Data cleaning and preprocessing
• Predictive modeling
• Forecasting and classification
• Feature engineering
• Automated ML workflows
• KPI reporting and visualization
Supported use cases:
• Customer churn prediction
• Sales forecasting
• Risk scoring
• Customer segmentation
• Operational analytics
• Classification and regression problems
Tools & Technologies:
Python • Scikit-learn • XGBoost • Pandas • Streamlit • SQL
I focus on building clean, business-oriented solutions with clear communication and fast turnaround.
Machine Learning Tools
Amazon SageMaker, Azure Machine Learning, BERT, Databricks MLflow, Google AutoML, Google Data Studio, Keras, MLflow, NLTK, NumPy, OpenCV, Python Scikit-Learn, PyTorch, QlikView, R, SAS, scikit-learn, SciPy, SQL, Tableau, TensorFlow, TextBlob, Vertex AI, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$50
|
Standard
$120
|
Advanced
$250
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 2 | 3 | 5 |
Number of Model Variations | 1 | 2 | 4 |
Number of Scenarios | 1 | 2 | 4 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
About Shubham
Data Scientist | Python, SQL, ML, Dashboards & Automation Expert
Thane, India - 9:49 pm local time
I help businesses turn messy data into actionable insights using Python, SQL, machine learning, and interactive dashboards.
I have experience building:
• Predictive ML models
• Automated ETL pipelines
• Streamlit dashboards
• Recommendation systems
• Analytics workflows using Python, SQL, Spark, and cloud tools
Previously, I worked on:
• Student performance prediction systems
• Recommendation engines
• Real-time analytics dashboards
• ML pipelines with experiment tracking
• Forecasting and anomaly detection projects
Tools & Technologies:
Python • SQL • Pandas • Scikit-Learn • XGBoost • Streamlit • Tableau • Power BI • Spark • AWS • PostgreSQL
I focus on fast communication, clean code, and practical business solutions.
Steps for completing your project
After purchasing the project, send requirements so Shubham can start the project.
Delivery time starts when Shubham receives requirements from you.
Shubham works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1
Review project goals, dataset structure, and expected ML outcomes.
Step 2
Clean data, engineer features, train models, and evaluate performance.