You will get Custom Machine Learning Models for Stock Market Analysis and Prediction

5.0

Let a pro handle the details

Buy Machine Learning services from Mladen, priced and ready to go.
5.0

Let a pro handle the details

Buy Machine Learning services from Mladen, priced and ready to go.

Project details

Unlock powerful insights and data-driven predictions with my tailored machine learning and data science solutions. With extensive experience in predictive modeling, statistical analysis, and advanced tools like Python, TensorFlow, Neural Networks and other ML models, I provide solutions that help businesses make informed decisions. My expertise spans financial markets, sales forecasting, and customer behavior analysis, ensuring every project delivers actionable outcomes that set you apart.
Machine Learning Tools
Azure Machine Learning, Google Sheets, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, pandas, Python, Python Scikit-Learn, PyTorch, R, scikit-learn, SciPy, SQL, TensorFlow, XGBoost
What's included
Service Tiers Starter
$850
Standard
$1,000
Advanced
$1,300
Delivery Time 5 days 10 days 14 days
Number of Revisions
123
Number of Model Variations
112
Number of Scenarios
112
Number of Graphs/Charts
112
Model Validation/Testing
Model Documentation
-
Data Source Connectivity
-
-
Source Code
-
-
Optional add-ons You can add these on the next page.
Fast Delivery
+$100 - $300
Additional Revision
+$50
Additional Model Variation (+ 1 Day)
+$500
Additional Graph/Chart
+$20
Model Documentation (+ 1 Day)
+$150
Source Code
+$100
5.0
3 reviews
100% Complete
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GC

Greg C.
5.00
Jan 20, 2025
Proposal for Probability Model Development for Day/Night Investing I had the distinct pleasure of working with Mladen as the only client on a project centered around developing models to predict market performance. I can say without reservation that he is an outstanding data scientist whose expertise significantly enhanced our project's outcome.

Mladen’s ability to leverage advanced data analytics and predictive modeling is remarkable. He employed sophisticated machine learning algorithms to forecast short-term market movements with impressive accuracy. His focused approach to our probability models for day/night investing showed not only his extensive knowledge but also his innovative problem-solving skills.

One of the aspects I appreciated most was Mladen’s exceptional communication abilities. He made complex concepts accessible and ensured that I fully understood each step of the process. His updates were always thoughtful and timely, reflecting a deep respect for my insights and questions. As the sole client, this level of attention and care was invaluable.

Mladen consistently exhibited professionalism and dependability throughout our collaboration. He approached challenges with a constructive mindset and was always willing to go above and beyond to support my needs. His commitment to delivering high-quality work made the entire experience enjoyable and productive.

In conclusion, if you are seeking a data scientist who combines deep technical expertise with exemplary communication skills, Mladen is your ideal choice. His contributions to my project have been immensely beneficial, and I wholeheartedly recommend him to anyone in need of data analytics and machine learning expertise.

Thank you, Mladen, for your hard work and dedication. I look forward to collaborating with you again in the future!

GC

Greg C.
5.00
Oct 7, 2024
Experienced Data Scientist Needed for Investing Research Project I had the pleasure of working with Mladen on the analysis of pricing data for the QQQ ETF fund, and I couldn't be more satisfied. His expertise in financial analysis was evident as he utilized Monte-Carlo simulations to present expected outcomes in two ways and created a clear conditional probability sheet to convey the probabilities of each binned outcome. Additionally, his use of iPython Notebook for side predictive modeling added valuable depth to our findings. Mladen patiently addressed all my questions and communicated updates effectively throughout the process. If you need assistance with stock pricing or financial analysis, I highly recommend him—his support made a significant difference in my project!

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Alex D.
5.00
May 10, 2023
QA Causal Inference for Data Science Learning Course
Mladen G.Status: Offline

About Mladen

Mladen G.Status: Offline
Data scientist | ML engineer | Quantitative Researcher | Stock market
100% Job Success
5.0  (3 reviews)
Belgrade, Serbia - 5:30 am local time
As an experienced data scientist, I leverage advanced data analytics and predictive modeling to drive sales growth and optimize promotional strategies in the FMCG sector. Skilled in utilizing machine learning algorithms and time-series models, to assess and predict sales performance. I also create optimizations for policy targets and define methodologies for uplift measurement. Specialized in analyzing the effectiveness of promotional campaigns and rebate strategies to enhance revenue and align with sales goals.

In spare time, I am an investor focusing on stock market and financial-derivatives CBOE. I create portfolios for my clients based on modelling skills I have, to predict price movement and its magnitude.

Experienced in: Python, R, SPSS, SQL, SSMS, Teradata, Oracle


Communication is very important to me, so lets keep in touch to ensure projects run smoothly

Looking forward to hearing from you!

Steps for completing your project

After purchasing the project, send requirements so Mladen can start the project.

Delivery time starts when Mladen receives requirements from you.

Mladen works on your project following the steps below.

Revisions may occur after the delivery date.

Client Purchases the Project and Sends Requirements

Once you purchase the project, we will discuss your needs and define the scope of the work. This includes understanding your goals, the dataset, and any specific outcomes you're aiming for.

Initial Data Review and Preprocessing

I will review the dataset, clean and preprocess it as needed, and prepare it for analysis. This step ensures the data is ready for accurate and efficient modeling.

Review the work, release payment, and leave feedback to Mladen.