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Yogesh Kawadkar

Angestellt, Machine Learning Engineer - Working Student, Daimler Truck Financial Services GmbH
Erlangen, Deutschland

Fähigkeiten und Kenntnisse

Data Science
Machine Learning
Python
MySQL
Deep Learning
Natural Language Processing (NLP)
PySpark
Git
ML
PyTorch
SQL
Mathematics
Artificial intelligence
Forecast
Keras
LLM
RAG

Werdegang

Berufserfahrung von Yogesh Kawadkar

  • Bis heute 1 Jahr und 1 Monat, seit Juni 2024

    Machine Learning Engineer - Working Student

    Daimler Truck Financial Services GmbH

    • Fine-tuning large language models and developing Retrieval-Augmented Generation (RAG) systems for internal business applications using Azure. • Manage structured and unstructured data, leveraging SQL and PySpark for data management and analysis. • Utilized a wide range of Azure services, including Cosmos DB, Azure Cognitive Search, Document Intelligence, App Services, and more

  • 1 Jahr und 7 Monate, Apr. 2023 - Okt. 2024

    Data Scientist - Working Student

    AUDI AG

    • Developed deep learning models for forecasting electric vehicle range and power usage, leveraging expertise in multivariate time series data analysis from vehicle buses. • Utilized PySpark and SQL for data processing and management, ensuring efficient workflows. • Employed the vehicle system dynamics model to produce synthetic datasets for downstream appli- cations.

  • 2 Jahre und 5 Monate, Juni 2020 - Okt. 2022

    Data Scientist

    CustomerSuccessBox

    • Developed a recommendation system for Customer Success Managers (CSMs) that reduced cus- tomer churn by 7%. • Implemented anomaly detection models to identify unusual behavior with 95% accuracy. • Conducted user clustering for product usage insights, enhancing marketing strategies by 12%. • Performed sentiment analysis for emails, improving customer response times by 16%. • Designed a ranking algorithm for users based on their product usage patterns. • Developed ML models to predict cu

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