Competent and motivated data scientist with a history of successfully delivered projects in finance, marketing and agritech.
Aktualisiert am 22.10.2024
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.11.2024
Verfügbar zu: 100%
davon vor Ort: 100%
Machine Learning
Data Scientist
German
Fluent
English
Fluent
Malay
Intermediate
Spanish
Intermediate
Tamil
Muttersprache
Telugu
Muttersprache

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 year 6 months
2023-05 - now

Optimization of the exisiting person identifcation products

Data Scientist/ Analyst
Data Scientist/ Analyst
  • Optimization of the exisiting person identifcation products using data from the Postgres backend and JSON frontend to reduce the volume of fraud in e-commerce purchases and false positives of real consumers
  • Development of a new credit scoring and fraud detection product focusing on the energy and utilities sector, utilizing regression and gradient boosted models as well as techniques to handle highly imbalanced datasets such as the imblearn library in Python
  • Benchmarking models such as XGBoost, AdaBoost with integrated undersampling and VotingClassifer, against the established Logistic Regression method using metrics such as the f1-score and Gini-score.
  • Usage of the libraries pandas for small scale datasets and polars, pySpark for larger than RAM datasets, with sklearn, Pydantic, FastAPI, Docker and Git for model building, code refactoring and deployment
Creditreform Boniversum
Neuss
6 months
2024-05 - 2024-10

Supporting role within a project aiming to optimize marketing expenditure

Consultant Data Science
Consultant Data Science
  • Supporting role within a project aiming to optimize marketing expenditure per year in terms of sales volume
  • Derivation of concrete proposals for action that increases sales volume with the same marketing budget
  • Presentation of a new marketing strategy which focuses marketing spend on customer engagement channels resulting in higher sales volumes and a increased utilization of the marketing budget
elanyo GmbH
Stuttgart
7 months
2022-10 - 2023-04

Performed variable analysis of omnichannel channels

Working Student Data Science
Working Student Data Science
  • Performed variable analysis of omnichannel channels using machine learning models such as XGBoost and linear regressions as well as data science techniques.
  • Utilized the SHAP library to extract the top sales and marketing channels indicative of a successful customer acquisition.
AstraZeneca GmbH
Hamburg
1 year 1 month
2021-10 - 2022-10

Analysis of horticultural and chemical data of different materials

Data Scientist
Data Scientist
  • Analysis of horticultural and chemical data of different materials using data science libraries in Python such as pandas, polars, numpy, seaborn and the SHAP package
  • Development of regression and classifcation models using regression models and non-linear approaches such as gradient boosting and random forests
  • Development of a holisitic dashboarding solution for palm oil mills to visualize critical processes and metric tracking to reduce downtimes and help meet client KPIs
  • Provided actionable recommendations of suitable materials as a peat moss substitue to end clients based on technical analytics and data science performed
Skanda Consultancy
Kuala Lumpur

Aus- und Weiterbildung

Aus- und Weiterbildung

4 months
2022-03 - 2022-06

Data Science Program

Spiced Academy, Berlin
Spiced Academy, Berlin
  • Theory and application of data science and machine learning in areas such as classifcation, regression, clustering, recommender systems and image classifcation.
  • Practical case studies of Docker, Git, MongoDB, web scraping and programming best practices.
3 years
2018-10 - 2021-09

Industrial Engineering & Management

Bsc, Jacobs University Bremen
Bsc
Jacobs University Bremen
  • Final grade - 1.88

Kompetenzen

Kompetenzen

Top-Skills

Machine Learning Data Scientist

Produkte / Standards / Erfahrungen / Methoden

Git
Machine Learning
PostgreSQL
R
MS Offce
Python
MS PowerBI
Docker
Profile
  • Competent data scientist and analyst with experience in generating insights and extracting value from data with analytics and machine learning, driving strategic and business goals. 

Einsatzorte

Einsatzorte

Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

1 year 6 months
2023-05 - now

Optimization of the exisiting person identifcation products

Data Scientist/ Analyst
Data Scientist/ Analyst
  • Optimization of the exisiting person identifcation products using data from the Postgres backend and JSON frontend to reduce the volume of fraud in e-commerce purchases and false positives of real consumers
  • Development of a new credit scoring and fraud detection product focusing on the energy and utilities sector, utilizing regression and gradient boosted models as well as techniques to handle highly imbalanced datasets such as the imblearn library in Python
  • Benchmarking models such as XGBoost, AdaBoost with integrated undersampling and VotingClassifer, against the established Logistic Regression method using metrics such as the f1-score and Gini-score.
  • Usage of the libraries pandas for small scale datasets and polars, pySpark for larger than RAM datasets, with sklearn, Pydantic, FastAPI, Docker and Git for model building, code refactoring and deployment
Creditreform Boniversum
Neuss
6 months
2024-05 - 2024-10

Supporting role within a project aiming to optimize marketing expenditure

Consultant Data Science
Consultant Data Science
  • Supporting role within a project aiming to optimize marketing expenditure per year in terms of sales volume
  • Derivation of concrete proposals for action that increases sales volume with the same marketing budget
  • Presentation of a new marketing strategy which focuses marketing spend on customer engagement channels resulting in higher sales volumes and a increased utilization of the marketing budget
elanyo GmbH
Stuttgart
7 months
2022-10 - 2023-04

Performed variable analysis of omnichannel channels

Working Student Data Science
Working Student Data Science
  • Performed variable analysis of omnichannel channels using machine learning models such as XGBoost and linear regressions as well as data science techniques.
  • Utilized the SHAP library to extract the top sales and marketing channels indicative of a successful customer acquisition.
AstraZeneca GmbH
Hamburg
1 year 1 month
2021-10 - 2022-10

Analysis of horticultural and chemical data of different materials

Data Scientist
Data Scientist
  • Analysis of horticultural and chemical data of different materials using data science libraries in Python such as pandas, polars, numpy, seaborn and the SHAP package
  • Development of regression and classifcation models using regression models and non-linear approaches such as gradient boosting and random forests
  • Development of a holisitic dashboarding solution for palm oil mills to visualize critical processes and metric tracking to reduce downtimes and help meet client KPIs
  • Provided actionable recommendations of suitable materials as a peat moss substitue to end clients based on technical analytics and data science performed
Skanda Consultancy
Kuala Lumpur

Aus- und Weiterbildung

Aus- und Weiterbildung

4 months
2022-03 - 2022-06

Data Science Program

Spiced Academy, Berlin
Spiced Academy, Berlin
  • Theory and application of data science and machine learning in areas such as classifcation, regression, clustering, recommender systems and image classifcation.
  • Practical case studies of Docker, Git, MongoDB, web scraping and programming best practices.
3 years
2018-10 - 2021-09

Industrial Engineering & Management

Bsc, Jacobs University Bremen
Bsc
Jacobs University Bremen
  • Final grade - 1.88

Kompetenzen

Kompetenzen

Top-Skills

Machine Learning Data Scientist

Produkte / Standards / Erfahrungen / Methoden

Git
Machine Learning
PostgreSQL
R
MS Offce
Python
MS PowerBI
Docker
Profile
  • Competent data scientist and analyst with experience in generating insights and extracting value from data with analytics and machine learning, driving strategic and business goals. 

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