Chinmay Hegde

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

• 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

• 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

• 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

• 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

• 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)

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

Internet of Things, Computer Programming, Embedded System Design