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Algorithm
Financial Analysis
Machine Learning (ML)
Python
R Programming Language
5.0
(2 reviews)
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$15 USD / hour
Flag of ARFlag of AR
palermo,
argentina
$15 USD / hour
It's currently 9:53 pm here
Joined October 31, 2015
0 Recommendations

Diego Eduardo N.

@diegoedunapo

monthly-level-one.svg
5.0
(2 reviews)
5.0
(2 reviews)
2.9
2.9
$15 USD / hour
Flag of ARFlag of AR
palermo,
argentina
$15 USD / hour
100%
Jobs Completed
100%
On Budget
100%
On Time
25%
Repeat Hire Rate

Data scientist and Certified Public Accountant

My name is Diego N., I live in Argentina - CABA, I'm a Public Accountant and Data Scientist specialized in R / Python / TensorFlow / SQL / PowerBi. I have more than 9 years of experience in the financial industry, taking care of several projects. I'm passionate about AI and data science, focused on improving processes and looking for a 360 view of customers. Always in the search for the highest quality of work, with the aim that the client is 100% satisfied.
Freelancer
Machine Learning Experts
Argentina

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Portfolio Items

Using public data a prediction model was built to predict the price of a rental taking into account the following independent variables: Environments, M2 and Neighborhood.
The LGBMRegressor algorithm was trained with 4 neighborhoods of the 50. Then i built the Api with Flask, saved it in GitHub and used Heroku for the deploy.

Repositorio:
https://github.com/NapoliD/Flask_api_alquiler

https://alquilar.herokuapp.com/
How much to charge your rent?
Gradient boosting is currently one of the most popular techniques for efficient modeling of tabular datasets of all sizes. XGboost is a very fast, scalable implementation of gradient boosting, with models using XGBoost regularly winning online data science competitions and being used at scale across different industries.
I implemented this algorithm in several projects in R or Python, and obtaining very good results.
Extreme Gradient Boosting with XGBoost
Machine learning is being used to optimize customer journeys which maximize their satisfaction and lifetime value.
Use different techniques to predict the rotation of customers and interpret their drivers, measure and forecast the value of the customer's useful life and, finally, create customer segments based on their product purchasing patterns. 
Churn prediction
Customer Lifetime Value (CLV) prediction
Customer segmentation
Machine learning for marketing in python
The objective of this project was to identify potential clients to offer lines of credit:

Modeling credit risk for both personal loans and businesses is of great importance to banks. The probability that a debtor will default is a key component in reaching a credit risk measure.

Applied methodology:
Logistic regression and decision trees.

Analysis steps:
1) Data preprocessing
2) Logistic regression.
3) decision trees
4) Evaluation of a credit risk model.
Credit Risk Modeling in R
The objective of this project was to identify potential clients to offer lines of credit:

Modeling credit risk for both personal loans and businesses is of great importance to banks. The probability that a debtor will default is a key component in reaching a credit risk measure.

Applied methodology:
Logistic regression and decision trees.

Analysis steps:
1) Data preprocessing
2) Logistic regression.
3) decision trees
4) Evaluation of a credit risk model.
Credit Risk Modeling in R
The objective of this project was to identify potential clients to offer lines of credit:

Modeling credit risk for both personal loans and businesses is of great importance to banks. The probability that a debtor will default is a key component in reaching a credit risk measure.

Applied methodology:
Logistic regression and decision trees.

Analysis steps:
1) Data preprocessing
2) Logistic regression.
3) decision trees
4) Evaluation of a credit risk model.
Credit Risk Modeling in R

Reviews

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Filter reviews by: 5.0
$250.00 USD
Diego, fue un profesional muy comprometido con nuestro proyecto y nos entregó la solución que buscábamos
Python
Machine Learning (ML)
Financial Analysis
A
Flag of CO Albert S. @albertserna76
3 months ago
5.0
€40.00 EUR
Very good freelancer !
Algorithm
Statistics
Machine Learning (ML)
R Programming Language
Statistical Analysis
M
Flag of FR Mohamed M. @moustapm
6 months ago

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Machine Learning (ML)
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Financial Analysis
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Statistical Analysis
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R Programming Language
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