freiberufler Data Scientist auf freelance.de

Data Scientist

zuletzt online vor wenigen Tagen
  • auf Anfrage
  • 09126 Chemnitz
  • auf Anfrage
  • en  |  hi  |  de
  • 03.02.2024

Kurzvorstellung

Knowledgeable in using machine learning algorithms for predictive data modelling anddeliveringr insights using visualization tools. Proficient in developing, testing and deploying data-driven services to solve complex problems in businesses.

Qualifikationen

  • Data Science
  • Deeplearning4j
  • Docker
  • Maschinelles Lernen
  • Microsoft Azure
  • Microsoft Power BI
  • Natural Language Processing (NLP)
  • PostgreSQL
  • Python

Projekt‐ & Berufserfahrung

Trainee MLOPS
Dexter, Amsterdam
7/2021 – 8/2021 (2 Monate)
Life Sciences
Tätigkeitszeitraum

7/2021 – 8/2021

Tätigkeitsbeschreibung

- A town wants to live on 100% renewable energy. It has enough solar panels and wind turbines to generate electricity, so they disconnected from the main electricity grid a while ago. However, they usually do not use the electricity at the moment of its generation by sun and/or wind, which is causing daily power blackouts. They are fed up with all the electricity problems and asks help to adjust the electricity demand to the electricity generation.

- We took an iterative approach to have an end-to-end system from the first iteration.

- We trained the model using simple naive forecast: average consumption of the same day of the week, considering N weeks before further iterations.
- For Model evaluation: we backtest with a sliding window approach, optimized for MAPE
- Model deployment: deploy the best performing model as an Azure Machine Learning Batch pipeline Model

- Model post-processing:
- Compare energy consumption forecast with energy generation from wind and solar predictions.
- Classify the energy consumption per day (normal, middle, low charge), using consumption distrubtion pattern persist results to Azure Blob Storage to be used by Power BI.
- Finally, build dashboard with recommendations for the energy consumption on the following day.

Eingesetzte Qualifikationen

Microsoft Azure, Microsoft Power BI, Python, Scikit-learn

Trainee Data Scientist
Neuefische GmbH, Hamburg
2/2021 – 5/2021 (4 Monate)
IT & Entwicklung
Tätigkeitszeitraum

2/2021 – 5/2021

Tätigkeitsbeschreibung

- Perform data-driven insights across a wide range of topics and business industry domains by developing machine learning algorithms.
- Project 1 - Google Store Analytics: Market and customer analysis of Google merchandise store to predict customer churn, shopping behavior, and sales revenue ver time using machine learning models.
- Project 2 - Kickstarter Project: Presenting our stakeholder to help find out if the startup or project will be able to get funds on Kickstarter platform using ML

Github link: -Hyperlink entfernt-

Eingesetzte Qualifikationen

Amazon Web Services (AWS), Data Science, Deeplearning4j, Maschinelles Lernen, Microsoft Azure, Microsoft Power BI, Pandas DataFrame, Python, Scikit-learn, TensorFlow

Software Developer (Festanstellung)
FDTECH GMBH, Chemnitz
12/2020 – 12/2022 (2 Jahre, 1 Monat)
Automobilindustrie
Tätigkeitszeitraum

12/2020 – 12/2022

Tätigkeitsbeschreibung

I have successfully led the development and maintenance of automated CI/CD pipelines for Adaptive Cruise Control and Highway pilot projects for our client, CARIAD Volkswagen group. This experience has honed my skills in deploying world-class unique data and AI technology solutions, aligning closely with the requirements outlined in your job description. My proficiency in tools such as Jenkins, GitHub Actions, Docker, and Python, along with my experience in leading deployment projects, positions me well to take on the responsibilities of this role.

Eingesetzte Qualifikationen

Python

Scientific Analyst
Kundenname anonymisiert, Regensburg
12/2017 – 10/2020 (2 Jahre, 11 Monate)
High-Tech- und Elektroindustrie
Tätigkeitszeitraum

12/2017 – 10/2020

Tätigkeitsbeschreibung

• Characterization of laser diodes using streak camera.
• Analyzing the dynamic behavior of lasers using mathematical simulation models.
• Conducted practical lessons on “Internet of Things” (IoT) using microcontroller esp32 to build heart rate monitor that takes measurement using Bluetooth low-energy (BLE) and deploying it on app to send and receive data in real-time.
• Fourier analysis and transformation of signals and studying the data.
• Digital Signal Processing (FFT) library used to convert the signal.

Eingesetzte Qualifikationen

C++, Internet of Things (IoT), Python

Zertifikate

MLOPS using Azure
2021
Data Scientist
2020

Über mich

I would describe myself as someone dynamic, qucik learner, and have a broad sense of technology and have creative ways to solve problems and troubleshoot. I have knowledge in many areas related to data science and to provide solutions with an end to end implementation.

Weitere Kenntnisse

I am a Physicists, data scientist and Machine lernaing Operationist.

Persönliche Daten

Sprache
  • Englisch (Muttersprache)
  • Hindi (Muttersprache)
  • Deutsch (Gut)
Reisebereitschaft
auf Anfrage
Arbeitserlaubnis
  • Europäische Union
  • Schweiz
Profilaufrufe
547
Alter
32
Berufserfahrung
5 Jahre und 5 Monate (seit 10/2018)

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