You will get Custom Machine Learning Model for Prediction, Classification & Forecasting


Project details
I will build a custom machine learning solution tailored to your business goals, whether you need prediction, classification, forecasting, or recommendation models. With nearly 6+ years of experience in Data Science, Machine Learning, and AI, I develop reliable, production-ready models using industry best practices. My workflow includes data preprocessing, feature engineering, model selection, hyperparameter tuning, performance evaluation, and comprehensive documentation. I focus on delivering accurate, explainable, and scalable solutions with clean, well-documented Python code that can be easily maintained or deployed.
Machine Learning Tools
NumPy, pandas, Python Scikit-Learn, scikit-learnWhat's included
| Service Tiers |
Starter
$75
|
Standard
$200
|
Advanced
$400
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 10 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Number of Graphs/Charts | 3 | 6 | 10 |
Model Validation/Testing | |||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code |
Frequently asked questions
About Shashank
Data Scientist | ML Engineer | Data Engineer | Python | AI Solutions
Pune, India - 1:41 am local time
I specialize in designing and deploying end-to-end data and AI solutions—from building predictive machine learning models to developing automated data pipelines and cloud-native infrastructures. Whether you're looking to forecast sales, automate business processes, optimize data workflows, or deploy production-ready ML models, I deliver reliable, scalable, and maintainable solutions.
What I can help you with
✔ Machine Learning & Predictive Analytics
✔ Classification, Regression & Forecasting Models
✔ Python Development & Automation
✔ Data Engineering & ETL Pipelines
✔ SQL Development & Query Optimization
✔ Snowflake Data Warehousing
✔ AWS (Lambda, Secrets Manager, CloudWatch)
✔ Terraform & Infrastructure as Code (IaC)
✔ MLOps & Model Deployment
✔ Data Cleaning, Feature Engineering & EDA
✔ AI-powered Document & Data Extraction
✔ Performance Optimization & Process Automation
Technologies I work with
Languages: Python, SQL
Machine Learning: Scikit-learn, XGBoost, Random Forest, Pandas, NumPy
Cloud: AWS (Lambda, Secrets Manager, S3, CloudWatch), Azure
Data Platforms: Snowflake
Infrastructure: Terraform, Git, Docker
Analytics: Predictive Modelling, Data Visualization, Statistical Analysis
Why work with me?
Nearly 7 years of industry experience
Strong background in both Data Science and Data Engineering
Production-ready, clean, and well-documented code
Scalable, secure, and cost-efficient solutions
Excellent communication and on-time delivery
Focus on solving business problems—not just writing code
I believe successful projects start with understanding your business goals. I take a collaborative approach, ensuring every solution is accurate, efficient, and tailored to your specific needs.
If you're looking for someone who can bridge the gap between data engineering, machine learning, and cloud infrastructure, I'd be happy to help. Let's build something impactful together.
Steps for completing your project
After purchasing the project, send requirements so Shashank can start the project.
Delivery time starts when Shashank receives requirements from you.
Shashank works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review your business objective, dataset, and project requirements to understand the problem and define the best machine learning approach.
Data Preparation & Exploratory Analysis
Clean and preprocess the data, perform exploratory data analysis (EDA), handle missing values, and engineer meaningful features.