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POLANDのフラグ
kraków, poland
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こちらは現在4:27 午後です
登録日: 9月 2, 2014
1 お気に入り

Alexander P.

@apoplavsky

 5.0 (13 レビュー)
7.0
7.0
93%
93%
$100 USD / 時間
POLANDのフラグ
kraków, poland
$100 USD / 時間
100%
完了したプロジェクト
100%
予算内
100%
期限内
25%
再採用率

Lead AI / Data Science Engineer, Startup Founder

I am a technology and innovation enthusiast, with PhD degree and several patented inventions, driven by a passion for solving complex problems for business applications and thrive on thinking outside the box. With 8+ years of experience, I specialise in turning AI innovations into profitable applications, assisting tech businesses in achieving growth and success. Founder of [login to view URL]
Freelancer Mathematics Teachers Poland
全て見る Mathematics Teachers 、 Poland

仕事についてAlexander P.に連絡する

ログインしてチャットで詳細を相談しましょう、

ポートフォリオ

5870270
This particular example shows online tool for option valuation, default probability calculation, interest rate modelling and visualisation.
Online financial calculators
This particular example shows online tool for option valuation, default probability calculation, interest rate modelling and visualisation.
Online financial calculators
1925317
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
1925313
Low-frequency electromagnetic wave propagation simulated on the three-dimensional finite-difference time-domain hexagonal grid.
Electromagnetic wave propagation on the hexagonal grid
1925304
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
1925296
The Black–Scholes equation is a partial differential equation governing the price evolution of European options. Here there is example of numerical solution of the Black-Scholes equation using implicit and Crank-Nicolson methods implemented in Matlab.
Black-Scholes Equation
The Black–Scholes equation is a partial differential equation governing the price evolution of European options. Here there is example of numerical solution of the Black-Scholes equation using implicit and Crank-Nicolson methods implemented in Matlab.
Black-Scholes Equation
1925287
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
5870270
This particular example shows online tool for option valuation, default probability calculation, interest rate modelling and visualisation.
Online financial calculators
This particular example shows online tool for option valuation, default probability calculation, interest rate modelling and visualisation.
Online financial calculators
1925317
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
Results of the priority queue simulations and analysis of its service time gain in comparison with the first-come first-served system. The model can be used to deal with the overload of web servers.
Priority Queue Simulation
1925313
Low-frequency electromagnetic wave propagation simulated on the three-dimensional finite-difference time-domain hexagonal grid.
Electromagnetic wave propagation on the hexagonal grid
1925304
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
An Asian option is a type of option contract for which the payoff is determined by the average underlying price over some pre-defined period. Here there is an example of asian option pricing simulation in Matlab.
Asian Option Pricing
1925296
The Black–Scholes equation is a partial differential equation governing the price evolution of European options. Here there is example of numerical solution of the Black-Scholes equation using implicit and Crank-Nicolson methods implemented in Matlab.
Black-Scholes Equation
The Black–Scholes equation is a partial differential equation governing the price evolution of European options. Here there is example of numerical solution of the Black-Scholes equation using implicit and Crank-Nicolson methods implemented in Matlab.
Black-Scholes Equation
1925287
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio
Portfolio balancing is aimed to optimize the allocation of wealth across a set of assets (stocks). Two widely used methods are implemented in Python and Mathematica: Weighted Successive Variable Rebalanced Portfolios (WSVRP) and On-Line Portfolio Selection with Moving Average Reversion (OLMAR).
Rebalanced Portfolio

レビュー

変更を保存しました
1 - 5 / 14 レビュー表示中
 レビューを絞り込む：
5.0
€19,185.00 EUR
Project for Alexander P.
Alex is a great pro! perfect in time and budget!!!
Python
Algorithm
Statistics
Mathematics
+1 もっと
ユーザーアバター
のフラグ Andrea M.
@andreamodena1
•
4年前
5.0
$5,100.00 USD
Расчеты по формулам финансовой математики в Mathematica - ongoing work
Alexander is a fantastic freelancer highly skilled in many fields and very talented. He is highly professional, very efficient and responsive. He did a top quality job right on schedule. I'd definitely hire him again!
Matlab and Mathematica
Algorithm
Mathematics
Financial Analysis
ユーザーアバター
のフラグ Grigori S.
@cugamelover
•
4年前
5.0
$21.00 USD
Machine Learning, Neural Networks, and TensorFlow experience needed
Great job on the project! Thank you.
Python
Machine Learning (ML)
Programming
Neural Networks
Tensorflow
P
のフラグ Parenthetic E.
@parenthetic
•
5年前
5.0
€550.00 EUR
Asset Allocator
Clean and on time.
Software Architecture
Finance
Software Development
A
のフラグ Adrian S.
@annsophi
•
9年前
5.0
₹27,600.00 INR
Econometrics Index
good freelancer to work with
Python
Statistics
Q
のフラグ Aman S.
@quantalerts
•
9年前

仕事についてAlexander P.に連絡する

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トップスキル

Mathematics 7
Python 6
Algorithm 4
Statistics 4
Statistical Analysis 2

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