Arun Cherian Mathew

A highly motivated engineer with 1+ years’ experience with a Master’s degree in Mechatronics and Robotics engineering from the University of Melbourne, Australia. Passionate about Machine Learning, Robotics and AI with an expertise to apply technology to solve complex problems. Seeking a full-time position in field of Data Science and Machine Learning.

• Identification of customers that would subscribe to a term deposit within the bank and increase the hit ratio. The project required using Ensemble techniques, random forest, bagging, boosting, stacking and decision tree algorithms to evaluate the best model for prediction.

• Applying Unsupervised techniques such as K- Means clustering & Hierarchical clustering to identity spending patterns of customers and group them based on their interaction with the bank. Identifying associations within the customers from the data.

• Applied libraries such as TensorFlow, Keras to help the operations team within a bank to identify the customers that are more likely to churn by building an Artificial Neural Network from scratch.

• Applied libraries such as TensorFlow, Keras, OpenCV to build a convolutional Neural Network (CNN). The input dataset comprised of 12 plant species. The goal of the project was to create a classifier capable of determining the plant's species from an image.

• Applied Natural Language Processing libraries such as NLTK, SpaCy & TextBlob to classify twitter data into positive, neutral, or negative sentiment.

• Praveen Viswanathan| Head of IT | Siemens Healthineers | praveen@siemenshealthineers.com
• Shane Blanford |Chief of Innovation| Konica Minolta | shane.blandford@konicaminolta.com.au
• Manglesh Jain | Chief Robotics Engineer | Konica Minolta | Manglesh.Jain@konicaminolta.com.au