You will get a Predictive Machine Learning Model Tailored to Your Needs


Project details
I will build a custom machine learning model tailored to your business needs. Whether you need to predict trends, classify data, or automate decision-making, I deliver optimized models and actionable results.
Machine Learning Tools
Apache Spark, Apache Spark MLlib, Azure Machine Learning, BigDL, ChatGPT, deeplearn.js, Deeplearning4j, GitHub Copilot, Google AutoML, Google Data Studio, GPT-3, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, pandas, Python, Python Scikit-Learn, QlikView, R, SAS, SQL, Tableau, TensorFlowWhat's included
| Service Tiers |
Starter
$300
|
Standard
$500
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 6 days |
Number of Revisions | 1 | 2 | 3 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code | - | - |
About Praveen
Data Engineer | Data Analyst
Schaumburg, United States - 11:37 am local time
As a skilled Data Analyst and Data Engineer with over 3.5 years of experience, I specialize in delivering tailored data solutions that drive business decisions and optimize operations. With a proven track record in data warehousing, visualization, and machine learning, I bring technical expertise and a results-oriented approach to every project.
Key Services I Offer:
Data Cleaning & Preparation: Transforming raw, unstructured data into actionable insights using Python, SQL, and ETL tools.
Data Visualization: Crafting dynamic dashboards and reports using Tableau, Power BI, and Excel to enable informed decision-making.
Machine Learning & Analytics: Developing predictive models and implementing advanced analytics to uncover trends and opportunities.
Cloud-Based Solutions: Designing and managing scalable pipelines with AWS S3, Redshift, and Databricks for seamless data integration.
Notable Achievements:
Achieved a 95% accuracy rate in a real-time sentiment analysis model, enhancing user engagement and market insights for a large-scale application.
Designed a scalable data pipeline for an e-commerce platform, leading to 30% faster query times and improved marketing effectiveness.
Automated data processing workflows, reducing manual intervention by 50%, and ensured real-time analytics for high-volume data streams.
Tools & Technologies: Python | SQL | R | Tableau | Power BI | Snowflake | Apache Spark | AWS (S3, Redshift, EMR) | Databricks
Whether you’re a startup seeking actionable insights or an established business aiming to scale operations, I bring a mix of technical proficiency and business acumen to help you achieve your goals. Let’s collaborate to transform your data into a powerful strategic asset.
Steps for completing your project
After purchasing the project, send requirements so Praveen can start the project.
Delivery time starts when Praveen receives requirements from you.
Praveen works on your project following the steps below.
Revisions may occur after the delivery date.
Client provides the dataset and project requirements
Share your dataset and describe the problem you want solved.
I review the data and confirm the scope
Analyze the dataset, confirm goals, and finalize deliverables.