Skilled in ML, AI & Cloud, Experienced in NLP, GANs, ETL & Data Visualization, Passion for real-world AI
Aktualisiert am 22.08.2025
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 24.08.2025
Verfügbar zu: 100%
davon vor Ort: 100%
Machine Learning & Deep Learning
NLP & Generative Models
Data Engineering
SQL
AWS
Python
R
Power BI
PYSPARK
ETL
Predictive Modeling
Splunk
JIRA
German
B1
English
C1

Einsatzorte

Einsatzorte

Koblenz (+500km)
Deutschland
möglich

Projekte

Projekte

2 years 7 months
2024-04 - 2026-10

Master Thesis

Topic of the master thesis: on request
University of Koblenz
Koblenz
10 months
2023-03 - 2023-12

Development of a version detection pipeline

Data Scientist and Machine Learning Analyst
Data Scientist and Machine Learning Analyst
  • Built an NLP model using Random Forest to predict ticket assignment and severity with 86% accuracy
  • Developed a version detection pipeline using web scraping BeautifulSoup, TF-IDF, and logistic regression
  • Automated temporal data extraction from images using Tesseract OCR, PIL, and regex
  • Supported deployment of a LLM server for document-based queries
  • Created an anomaly detection model using Splunk and SCCV logs accessed via MongoDB
  • Applied linear regression on processed data, achieving 68% prediction accuracy
GridSecurtiy lnc.
Remote, Koblenz
7 months
2022-09 - 2023-03

AI And Covid Recommender System

Research Intern
Research Intern
  • Developed an expert system using case-based reasoning to recommend policy responses for COVID-19 and future pandemics
  • Built a structured case library linking pandemic scenarios to historical solutions
  • Designed a user interface to support decision-makers with contextual recommendations
  • Contributed to data collection, cleaning, and temporal case construction using Pandas, NumPy, Matplotlib and Seaborn
University of Koblenz

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 10 months
2021-09 - 2024-06

Study - Web and Data Science

Master of Science, University of Koblenz (Germany)
Master of Science
University of Koblenz (Germany)

3 years 10 months
2016-09 - 2020-06

Study - Computer Science and Engineering

B.Tech, Dayananda Sagar University , Bengaluru (India)
B.Tech
Dayananda Sagar University , Bengaluru (India)

Kompetenzen

Kompetenzen

Top-Skills

Machine Learning & Deep Learning NLP & Generative Models Data Engineering SQL AWS Python R Power BI PYSPARK ETL Predictive Modeling Splunk JIRA

Schwerpunkte

  • Strong Communication
  • Flexible
  • Quick Learner
  • Adaptability
  • Independent
  • Critical Thinking

Produkte / Standards / Erfahrungen / Methoden

PROFILE
Data Scientist and ML Engineer with expertise in deep learning, computer vision and generative AI. Experienced in building scalable, interpretable models for healthcare and enterprise applications. Strong Python, PyTorch and SQL skills. Passionate about ethical AI, data fairness and solving real-world problems through data-driven solutions.

TECHNICAL SKILLS
  • Cloud Platforms: AWS, Kubernetes, Databricks
  • Programming & Scripting: Python, SQL, R, C, Java, Linux Shell
  • Data Engineering & ML Frameworks: TensorFlow, PyTorch, Keras, Pyspark, Pandas, Numpy, OpenCV, pymongo, Docker, Image Processing, Image Reconstruction
  • Data Science & ML Techniques: Text Analysis, NLP, Predictive Modeling, GANs, Neural Networks, Deep Learning, LLM
  • Infrastructure & DevOps: Kafka, Terraform, Docker
  • Monitoring & Logging: Splunk
  • Visualization & Reporting: Power BI, Tableau, Matplotlib, Seaborn
  • Version Control & CI/CD: GitHub
  • Project & Collaboration Tools: JIRA, Notion, MS PowerPoint, MS Excel

PERSONAL PROJECTS
Deployed a local GPT server for intelligent document querying, built an AI reservation bot for automated restaurant bookings, and developed a math derivation assistant for generating step-by-step solutions.

Einsatzorte

Einsatzorte

Koblenz (+500km)
Deutschland
möglich

Projekte

Projekte

2 years 7 months
2024-04 - 2026-10

Master Thesis

Topic of the master thesis: on request
University of Koblenz
Koblenz
10 months
2023-03 - 2023-12

Development of a version detection pipeline

Data Scientist and Machine Learning Analyst
Data Scientist and Machine Learning Analyst
  • Built an NLP model using Random Forest to predict ticket assignment and severity with 86% accuracy
  • Developed a version detection pipeline using web scraping BeautifulSoup, TF-IDF, and logistic regression
  • Automated temporal data extraction from images using Tesseract OCR, PIL, and regex
  • Supported deployment of a LLM server for document-based queries
  • Created an anomaly detection model using Splunk and SCCV logs accessed via MongoDB
  • Applied linear regression on processed data, achieving 68% prediction accuracy
GridSecurtiy lnc.
Remote, Koblenz
7 months
2022-09 - 2023-03

AI And Covid Recommender System

Research Intern
Research Intern
  • Developed an expert system using case-based reasoning to recommend policy responses for COVID-19 and future pandemics
  • Built a structured case library linking pandemic scenarios to historical solutions
  • Designed a user interface to support decision-makers with contextual recommendations
  • Contributed to data collection, cleaning, and temporal case construction using Pandas, NumPy, Matplotlib and Seaborn
University of Koblenz

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 10 months
2021-09 - 2024-06

Study - Web and Data Science

Master of Science, University of Koblenz (Germany)
Master of Science
University of Koblenz (Germany)

3 years 10 months
2016-09 - 2020-06

Study - Computer Science and Engineering

B.Tech, Dayananda Sagar University , Bengaluru (India)
B.Tech
Dayananda Sagar University , Bengaluru (India)

Kompetenzen

Kompetenzen

Top-Skills

Machine Learning & Deep Learning NLP & Generative Models Data Engineering SQL AWS Python R Power BI PYSPARK ETL Predictive Modeling Splunk JIRA

Schwerpunkte

  • Strong Communication
  • Flexible
  • Quick Learner
  • Adaptability
  • Independent
  • Critical Thinking

Produkte / Standards / Erfahrungen / Methoden

PROFILE
Data Scientist and ML Engineer with expertise in deep learning, computer vision and generative AI. Experienced in building scalable, interpretable models for healthcare and enterprise applications. Strong Python, PyTorch and SQL skills. Passionate about ethical AI, data fairness and solving real-world problems through data-driven solutions.

TECHNICAL SKILLS
  • Cloud Platforms: AWS, Kubernetes, Databricks
  • Programming & Scripting: Python, SQL, R, C, Java, Linux Shell
  • Data Engineering & ML Frameworks: TensorFlow, PyTorch, Keras, Pyspark, Pandas, Numpy, OpenCV, pymongo, Docker, Image Processing, Image Reconstruction
  • Data Science & ML Techniques: Text Analysis, NLP, Predictive Modeling, GANs, Neural Networks, Deep Learning, LLM
  • Infrastructure & DevOps: Kafka, Terraform, Docker
  • Monitoring & Logging: Splunk
  • Visualization & Reporting: Power BI, Tableau, Matplotlib, Seaborn
  • Version Control & CI/CD: GitHub
  • Project & Collaboration Tools: JIRA, Notion, MS PowerPoint, MS Excel

PERSONAL PROJECTS
Deployed a local GPT server for intelligent document querying, built an AI reservation bot for automated restaurant bookings, and developed a math derivation assistant for generating step-by-step solutions.

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