You will get Developing a Machine Learning-Powered Recommender System Using Big Data
Project details
You will receive a sophisticated machine learning-powered recommender system tailored to Steam user data. With a focus on leveraging advanced big data techniques, I will design a solution that provides highly personalized game recommendations. My extensive experience in machine learning and big data ensures a state-of-the-art system that integrates seamlessly with existing platforms and adapts to evolving user preferences. The final product will enhance user engagement and satisfaction with precise and relevant suggestions, setting your system apart in the gaming industry.
Machine Learning Tools
Apache Spark, Apache Spark MLlib, Databricks Platform, Databricks MLflow, Microsoft Power BI, MLflow, pandas, Python, Python Scikit-Learn, SQL, TensorFlowWhat's included
| Service Tiers |
Starter
$800
|
Standard
$1,200
|
Advanced
$1,600
|
|---|---|---|---|
| Delivery Time | 15 days | 25 days | 35 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 2 | 4 | 6 |
Number of Graphs/Charts | 3 | 5 | 8 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Extended Documentation
+$200
Custom Training Session
+$300
Expedited Delivery
(+ 5 Days)
+$500Frequently asked questions
About Jamil
Python | SQL | Machine Learning | Power BI | Big Data Analysis | MSO |
Manchester, United Kingdom - 9:01 pm local time
🛠️ What I Offer:
Leveraging my extensive experience in business administration, along with advanced technical skills in data science, I bring a unique blend of strategic and analytical expertise to the table. My focus areas include:
Advanced Data Analysis & Visualization
Machine Learning & Predictive Modelling
Big Data Technologies & Applications
Retail Sales Optimization & Inventory Management
Customer Experience Enhancement
💼 Experience:
Over the years, I’ve honed my skills in data analysis, machine learning, and business strategy through various roles in the retail and commercial sectors. At Saudi Ceramics Company, I developed and executed data-driven merchandising strategies that optimized product placement and drove sales. My role at Samaya Investment Company involved utilizing data analysis to refine sales strategies and enhance inventory turnover, contributing to increased profitability. Additionally, as a Brand Manager at Tayamun Company, I successfully achieved strategic sales goals and implemented marketing initiatives that improved customer loyalty and sales performance. Throughout these roles, I’ve consistently applied my technical expertise in SQL, Python, and machine learning tools like scikit-learn and TensorFlow to deliver actionable insights and drive business growth.
📚 Education:
Master of Science in Data Science
University of Salford, Manchester | Jan 2024 – May 2025
Key Courses: Advanced Data Analysis, Machine Learning, Big Data Technologies
Bachelor of Business Administration – Systems Practice
The Open University, Riyadh | Sep 2017 – Jul 2020
🔑 Skills:
Data Science & Analytics: SQL, Python, R, Tableau, Power BI
Machine Learning: scikit-learn, TensorFlow
Big Data: Apache Hadoop, Apache Spark
Programming: Python, SQL, R
Languages: Arabic (Native), English (Professional), French (Elementary)
🌟 Why Choose Me?
What sets me apart is my ability to merge technical prowess with business acumen, ensuring that data-driven solutions are not just innovative but also aligned with your business objectives.
💡 Innovation: Crafting solutions that exceed expectations.
🕒 Timely Delivery: Meeting deadlines with precision and efficiency.
📈 Results-Driven: Focusing on actionable insights and tangible outcomes.
🔗 Integration: Seamlessly embedding data science techniques into your existing processes.
Whether you’re looking to optimize sales, enhance customer experiences, or unlock the power of big data, I’m here to help you achieve your goals.
Looking forward to connecting and crafting data-driven solutions for your business success!
Steps for completing your project
After purchasing the project, send requirements so Jamil can start the project.
Delivery time starts when Jamil receives requirements from you.
Jamil works on your project following the steps below.
Revisions may occur after the delivery date.
Client Purchase & Requirements Gathering
The client purchases the project and provides Steam user data, project goals, and any specific requirements.
Data Preparation & Analysis
Clean and preprocess the data, including user activity, ratings, and preferences. Perform exploratory data analysis to understand patterns and features.