Alket Cecaj

Rising Codementor

US$8.00

For every 15 mins

ABOUT ME

Credit Risk Quantitative Analyst

I’m a curious business-minded data scientist by education turned data engineer by experience with 12 years of experience in solving real-world problems with data.

More than two years of experience in the banking sector helped me learn better the data domain and what’s critical in the banking business.

My valuable experiences include balancing teamwork and being independent, intercultural and interpersonal communication skills and learning new skills quickly. In the recent years I have been working in the credit risk area as a data engineer

Copenhagen (+01:00)

Joined August 2024

EXPERTISE

8 years experience

10 years experience

10 years experience

8 years experience

4 years experience

5 years experience

REVIEWS FROM CLIENTS

Alket's profile has been carefully vetted and approved as a Codementor. Connect with Alket now, and leave a review for them once you're done!

EMPLOYMENTS

Business Analyst

Nordea Bank (Business Banking)

2022-03-01-Present

Built models for (SoW) Share of Wallet prediction and Income prediction and the data pipelines for feeding the models in producti...

Built models for (SoW) Share of Wallet prediction and Income prediction and the data pipelines for feeding the models in production
Probabilistic models for one-off payments predictions
Dashboards in Streamlit and Power BI for displaying the results of previous work.

Python

SQL

NumPy

Python

SQL

NumPy

Matplotlib

Pandas

Seaborn

Scikit-learn

Data Scientist

AIRI (Artificial Intelligence Research Institute), UNIMORE, Italy

2021-01-01-2021-07-01

Worked on building a vision system for a robotic arm deployed in a bin picking scenario.
Developed the training dataset a...

Worked on building a vision system for a robotic arm deployed in a bin picking scenario.
Developed the training dataset and the code for transfer learning from vision neural network models like Matterport and Facebook Detectron2.

OpenCV

Statistics

Computer Vision

OpenCV

Statistics

Computer Vision

TensorFlow

Time Series Forecasting

Statistical Analysis

Scikit-learn

Data Scientist

AIRI (Artificial Intelligence Research Institute), Italy

2019-10-01-2020-12-01

I worked on time series data and built and deployed forecasting models based on deep neural networks and statistical methods like...

I worked on time series data and built and deployed forecasting models based on deep neural networks and statistical methods like AutoRegressive Integrated Moving Average (ARIMA) for mobile phone data, traffic, and pollution data.
The forecasting models have been used to build a crowd and traffic forecasting system within the PolisEye project
Results of this work are published in peer-review journals here and here

Statistics

Neural Networks

TensorFlow

Statistics

Neural Networks

TensorFlow

Recurrent neural networks

Time Series Forecasting

PROJECTS

PolisEYE

2021

POLISEye stands for : Policy Support System for Smart City Data Governance. The POLIS-EYE project aims to develop a decision support syst...

POLISEye stands for : Policy Support System for Smart City Data Governance. The POLIS-EYE project aims to develop a decision support system (Policy Support System) aimed primarily at public decision-makers for the optimized management of Smart Cities in tourism. The project intends to analyze, together with enterprises, requirements and data related to the tourism sector to create forecasting and decision-making models integrated into the decision support system, and apply it in the field.

Python

Flask

Docker

Python

Flask

Docker

TensorFlow