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Hi, I’m Vrushali Sangle, a Computer Science graduate from Technische Universität Dresden with a focus on AI, machine learning, and data-driven software development. I enjoy building scalable ML models, designing robust data pipelines, and collaborating with cross-functional teams to turn data into actionable insights. Over the past years, I have contributed to projects at Infineon, Fraunhofer IAIS, and LT Infotech, tackling failure prediction, NLP, and analytics across manufacturing and tech domains. I’m excited about applying ML to real-world problems and continually learning new tools and methods to create impactful solutions.…Hi, I’m Vrushali Sangle, a Computer Science graduate from Technische Universität Dresden with a focus on AI, machine learning, and data-driven software development. I enjoy building scalable ML models, designing robust data pipelines, and collaborating with cross-functional teams to turn data into actionable insights. Over the past years, I have contributed to projects at Infineon, Fraunhofer IAIS, and LT Infotech, tackling failure prediction, NLP, and analytics across manufacturing and tech domains. I’m excited about applying ML to real-world problems and continually learning new tools and methods to create impactful solutions.

Vrushali Sangle

Data Scientist, AI Engineer, Data Analyst

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Hi, I’m Vrushali Sangle, a Computer Science graduate from Technische Universität Dresden with a focus on AI, machine learning, and data-driven software development. I enjoy building scalable ML models, designing robust data pipelines, and collaborating with cross-functional teams to turn data into actionable insights. Over the past years, I have contributed to projects at Infineon, Fraunhofer IAIS, and LT Infotech, tackling failure prediction, NLP, and analytics across manufacturing and tech domains. I’m excited about applying ML to real-world problems and continually learning new tools and methods to create impactful solutions.…Hi, I’m Vrushali Sangle, a Computer Science graduate from Technische Universität Dresden with a focus on AI, machine learning, and data-driven software development. I enjoy building scalable ML models, designing robust data pipelines, and collaborating with cross-functional teams to turn data into actionable insights. Over the past years, I have contributed to projects at Infineon, Fraunhofer IAIS, and LT Infotech, tackling failure prediction, NLP, and analytics across manufacturing and tech domains. I’m excited about applying ML to real-world problems and continually learning new tools and methods to create impactful solutions.

Available to hire

Hi, I’m Vrushali Sangle, a Computer Science graduate from Technische Universität Dresden with a focus on AI, machine learning, and data-driven software development. I enjoy building scalable ML models, designing robust data pipelines, and collaborating with cross-functional teams to turn data into actionable insights.

Over the past years, I have contributed to projects at Infineon, Fraunhofer IAIS, and LT Infotech, tackling failure prediction, NLP, and analytics across manufacturing and tech domains. I’m excited about applying ML to real-world problems and continually learning new tools and methods to create impactful solutions.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

German

Intermediate

English

Advanced

Work Experience

Working Student and Master Thesis Student - Data Scientist at Infineon Technologies AG

March 1, 2025 - August 4, 2025

Developed end-to-end machine learning models (Random Forest, LSTM, TCN) for failure mode classification of time-series motor data. Built robust data pipelines for ingesting and preprocessing sensor data from HVAC systems. Engineered features and conducted hyperparameter tuning, improving classification accuracy by 15%. Utilized MLflow to track experiments, log metrics, and manage model versions for reproducibility.

Working Student - NLP Engineer at Fraunhofer IAIS

December 1, 2024 - August 4, 2025

Trained and fine-tuned a compact language model for detecting hate speech and offensive language. Applied FastText, N-gram, and text preprocessing techniques to enhance model precision. Preprocessed and annotated large-scale text datasets and evaluated models against benchmark datasets. Improved baseline performance by 12% through model tuning and enhanced linguistic feature extraction.

Working Student - Data Analyst at Infineon Technologies AG

March 1, 2023 - August 4, 2025

Developed interactive Tableau dashboards for project evaluations, improving decision-making efficiency. Designed and optimized Tableau Prep flows for data wrangling, resulting in a 25% reduction in processing time. Performed data extraction and transformation using SQL and optimized Oracle database views and tables. Documented workflows and enhanced internal knowledge management via Confluence Wiki.

Software Engineer at Larsen and Toubro Infotech

September 1, 2021 - August 4, 2025

Created and executed SQL queries for data validation and reporting in large-scale enterprise systems. Automated regression test suites for web platforms, decreasing manual testing effort by 30%. Collaborated in Agile teams to support iterative feature delivery. Reported bugs and developed dashboards to track test coverage and issue resolution.

Data Scientist at Infineon Technologies AG

February 1, 2024 - March 1, 2025

Developed end-to-end machine learning models (Random Forest, LSTM, TCN) for failure mode classification using time-series motor data. Built robust data pipelines to ingest and preprocess sensor data from HVAC systems. Performed feature engineering and hyperparameter tuning, improving classification accuracy by 15%. Used MLflow to track experiments, log metrics, and manage model versions for reproducibility.

NLP Engineer at Fraunhofer IAIS

May 1, 2023 - December 1, 2024

Trained and fine-tuned a compact language model to detect hate speech and offensive language. Applied FastText, N-gram, and text preprocessing techniques to boost model precision. Preprocessed and annotated large-scale text datasets and evaluated models against benchmark datasets. Improved baseline performance by 12% through model tuning and enhanced linguistic feature extraction.

Data Analyst at Infineon Technologies AG

April 1, 2022 - March 1, 2023

Developed interactive Tableau dashboards for project evaluations, enhancing decision-making efficiency. Designed and optimized Tableau Prep flows for data wrangling, leading to a 25% reduction in processing time. Performed data extraction and transformation using SQL and optimized Oracle database views. Documented workflows and improved internal knowledge management using Confluence.

Data Scientist at Larsen and Toubro Infotech

August 1, 2019 - September 1, 2021

Improved customer personalization by applying statistical modeling and NLP techniques, increasing CLTV by 16%. Applied time-series analysis and anomaly detection for credit risk insights. Developed fraud detection models using XGBoost, DBSCAN, designing a custom outlier metric that saved $3M annually. Performed PCA, and clustering evaluation, deployed and monitored models on AWS.