Md Asraful Kabir

• Working in data science team for different innoSEP GmbH customers. • Demand forecasting from existing time series data analysis with LSTM and different classical machine learning algorithms. • Pig's health condition classification from audio signals. • Event-based damage detection from raw and simulated Automotive data. • Contributing to our developer team by consulting and writing different useful functions related to machine learning for the innoSEP Al-Analytics platform.

• Understanding and pre-processing of the collected raw data includes different kinds of filtering, chunking, and sophisticated signal processing algorithms. • Extraction of features from raw sensor data. • Model training using different deep neural network algorithms or machine learning algorithms with pre-processed data. • Analyzing and application of different prediction models in Python/MATLAB platform. Required Tools : Python, Scikit-learn, Tensorflow, Numpy, Pandas, Matplotlib

• Worked on predicting and analyzing the output of wind turbines from the historical wind farm data. • Designing an extension Rainflow algorithm for calculating damage cycle due to temperature change using Matlab/Simulink. • Building, implementing and evaluating predictive models for predicting damage through different machine learning algorithm of detected damaged cycles in Python environment. • Predicting final output of different sensor data using Machine learning algorithm.

Designing an Algorithm for Controlling of Turn On and Turn Off Angle of a Faulty Transverse Flux Reluctance Motor (TFRM) using Matlab/Simulink

SPS Programmmierung, CAN Bus, Temperatur Regler,Beobachterentwurf Turmdrehkran,PMSXpro Leitsystem,dSpace Systembeschreibung.

Department: Automation (Residential & commercial building Automation, Hotel Automation, Security& Surveillance Solution) Duties/Responsibilities: R & D with different Crestron Device Module, GSMIP camera, Hyundai Home Automation System, Survey Drawing by using AutoCAD, Project Handling.

1. Research and Development with Instant Power Supply(IPS) and Solar Panel. 2. Quality Control of IPS.