Shrihari Muttagi

Basic

is about to graduate. 🎓

Praktikum, Working Student (HR Data Analytics and Technology), Siemens Healthcare GmbH, Erlangen

Bis 2022, Computational Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg

Nürnberg, Germany

About me

An ingenious and dedicated programmer who is experienced in data-driven applications, and passionate about predictive analysis and statistical modelling. I can analyze signals and data, write code, test, resolve issues, and develop effective techniques to improve results. Training in Electronics, and an MSc in Computer science, I bring a strong link between hardware and software. Eager to offer scientific and analytical skills to help the company grow its client base. Currently in the final stage of my master’s thesis and will be available from June 2022.

Skills

Python
C++
Machine Learning
Deep Learning
Computer Vision
Image Processing
Object detection and recognition
Data Forecasting
SQL/Postgres
Microsoft Power BI
Linux
Data Science
Git
Pytorch
Hardware
OpenCV
Artificial intelligence
Data Analysis
Embedded Systems
Computer Science
Automation
Data Scientist
Data Analyst
Power BI
Numpy
scikit-learn
scipy
scikit-image
full-time
Defect Analysis
Predictive modeling
TensorFlow
Deep Computing Visualization
Data Visualisation
Pandas
openCV
Patter analysis
Pattern recognition
Signal processing
Large dataset
Big Data Analytics
Neural Networks
Engineering
GUI
JavaScript
MS Office
ML
Docker
Friendliness
Google
BMW
Bosch
Siemens
Audi
volkswagen
Video
Application
Mathematics
Agile Methods
SVM
Matplotlib
Github
Matlab
Simulink
Pycharm
Jupyter
Visual Studio
Kanban
Image recognition
Object detection
Customer segmentation
Cloud Computing
Softwareentwicklung

Timeline

Professional experience for Shrihari Muttagi

  • Current 1 year and 2 months, since Nov 2021

    Working Student (HR Data Analytics and Technology)

    Siemens Healthcare GmbH, Erlangen

    HR Data Analyst and Technology • Collaborated and developed solutions to automatically collect data from various sources. • Developed fact-based, statistically reliable analytic model (Power BI, SQL). • Advised on data management, quality, governance, and data catalogue

  • 1 year and 1 month, Sep 2020 - Sep 2021

    Student Assistant (Deployment of DL applications on Embedded devices)

    Fraunhofer IIS

    Data Scientist - Deployment of DL applications on Embedded devices • Researched, Developed, and implemented clean code Deep Learning models on embedded boards using Linux (Medical data) • Developed a real-time Machine Learning device for object detection • Documented the procedures in organization Confluence page

  • 1 year and 4 months, Apr 2019 - Jul 2020

    Working Student (MatLab Programmer and Test User)

    Siemens AG - Sektor Energy

    Traction Transformer GUI developer • Designed and developed GUI for the complex backend Matlab code • Performed Data Cleaning and reduction in code complexity • Introduced technologies to support full application life cycle of ETL jobs.

  • 1 year and 3 months, Feb 2017 - Apr 2018

    Freelancer

    Freelance

    Software Developer • Designed, analysed, and visualized complex data representing the current business trends (Python, Pandas) • Employee Management system – algorithm to track employee’s working status (C++) • Produced quality, maintainable, and testable codes

  • 3 years and 7 months, Jun 2013 - Dec 2016

    Graduate Teaching Assistant

    VP Kamalnayan Bajaj Institute of Engineering & Tech., Baramati, India

    Taught and conducted practicals for Bachelor students • Subjects taught – OOPs, Basics of Python & C++, Digital Communication. • Received University grant of 0.8 million for Wireless Communication project

Educational background for Shrihari Muttagi

  • 3 years and 10 months, Sep 2018 - Jun 2022

    Computational Engineering

    Friedrich-Alexander-Universität Erlangen-Nürnberg

    Subjects: Computer Vision, Functional Analysis, Deep Learning (top 7th position out of 136 teams), Machine Learning in Signal Processing, Numerical Mathematics, ML Seminar, Master Project (10 ECTS) Thesis: Multi-Stage Patch-based U-Net for text line segmentation of Historical Documents – Aims towards the implementation and evaluation of two versions of U-Net, to improve the segmentation Techniques – image patches & weight sharing between U-Net stages. Implemented in PyTorch (End – 05/2022)

  • 1 year and 9 months, Jul 2009 - Mar 2011

    Data Networking and Communication

    SRM University

    Subjects: Statistical Signal Processing, Digital Image Processing, Image and Video compression, Wireless Sensor Network, Digital Communication, Digital Signal Processing

  • 2 years and 9 months, Sep 2006 - May 2009

    Electronics and Telecommunication, GPA – 2.3

    Swami Ramanand Teerth Marathwada University

    Focus: Digital signal Processing, Data structures and Algorithms, Computer Architecture, Applied Mathematics

Languages

  • English

    Fluent

  • German

    Basic

Wants

Data Scientist
Full-time roles
Data Analyst
Remote jobs
Job offers
Machine Learning Engineer
Deep Learning Engineer
Embedded system
Communication
Wireless Communication

Interests

Table tennis
Playing Guitar
Hobby programmer / hardware

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