Chinmay Hegde

Basic

is out learning. 🎓

Bis 2019, Extreme Blue Internship in IBM(Sixth Sense Project), IBM Deutschland GmbH

Bis 2020, Automation and IT, Technische Hochschule Köln

Stuttgart, Germany

Skills

Data Science
Python
R programming language
Machine Learning
Data Visualization
Statistics
Data Analysis
Neural Networks
Deep learning
TensorFlow
Scikit-learn
Mathematics
Software Engineering
SQL
Artificial intelligence
Computer Science
Natural Language Processing (NLP)
Teamwork
Leadership
Communication
reliable
Keras
Verarbeitung

Timeline

Professional experience for Chinmay Hegde

  • 8 months, Jan 2020 - Aug 2020

    Master Thesis at IBM

    IBM Deutschland GmbH
  • 4 months, Jul 2019 - Oct 2019

    Extreme Blue Internship in IBM(Sixth Sense Project)

    IBM Deutschland GmbH

    Data analysis of Stork and Locust data in Python. Python, Data Science, Communication, Pressure handling skills.

  • 4 months, Dec 2018 - Mar 2019

    Work Student in General Reinsurance AG (GenRe AG

    Gen Re / General Reinsurance AG

    • Data Analysis of Insurance Clients in Delphi tool with Pascal • Data pre-processing and analysisof people withDiabetes in MS Excel using Macro and R • Usage of Microsoft SQL server Tools and languages:Pascal in Delphi, Macro in MS Excel, SQL in SQL Server Management Studio, R in R Studio

  • 8 months, Aug 2018 - Mar 2019

    Deep Learning Approaches for Anomaly Detection in Time Series

    TH Köln

    • Learnstate-of-the-artdeep learningalgorithmssuchasdeep autoencoders,LSTM,GRU • Familiar with deep learning frameworks such as Tensorflow or Keras • Investigate different approaches for applying such algorithms to anomaly detection tasks in (multivariate) time series • Compare the performance of various algorithms Tools: Tensorflow, Keras, Pandas,NumPy, Matplotlib,TDMR andSPOT (Parameter Optimization Library). R-Studio, JupyterLab, Python, TensorFlow

  • 5 months, Oct 2018 - Feb 2019

    Microsoft Azure in Automation

    TH Köln

    • Usage of Azure IOT Hub, Function apps, Event Hub, Cosmos DB, Service Bus. Data Visualisation in Power BI • MQTT Protocol between Raspberry Pi and ESP32 via Azure. Tools: Raspberry Pi, Esp32, Various sensors Microsoft Azure, Power BI Windows, Linux

  • 6 months, Sep 2018 - Feb 2019

    Bosch Industry 4.0 and Machine Learning

    TH Köln

    • State-of-the-art machine learning approaches. • Data pre-processing, Data Visualization, Feature Extraction, Time series classification.Documentation of scientific projects and Working in teams KNN, Logistic Regression, Random Forest, Neural Network R-S tudio, Python

  • 2 months, Jun 2018 - Jul 2018

    SIAM SD11 Data Mining Challenge

    TH Köln

    • Built a machine learning model to classify if the medicines are soluble or insoluble in water. Pre-processing (Outliers, Data Normalization, Reshaping etc.) • Binary Classification Problem, Data Visualization, Feature Extraction Tools: Random Forest, SVM and Logistic Regression TDMR and SPOT (Parameter Optimization Library)

Educational background for Chinmay Hegde

  • 2 years and 7 months, Oct 2017 - Apr 2020

    Automation and IT

    Technische Hochschule Köln

    Data Science, Databases, Industrial Communications Security, Linear Non-linear Control Systems

  • 4 years and 1 month, Jun 2013 - Jun 2017

    Electronic and Computer Engineering

    Bachelor of Engineering in Electronics and Communication

    Internet of Things, Computer Programming, Embedded System Design

Languages

  • English

    Fluent

  • German

    Fluent

  • Kannada

    -

Wants

Master thesis

Interests

Travel
Music
Fitness
Food
Culture
Customs and traditions
Driving
Sports
Cooking
Dogs

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