ARAVIND RAM

Skilled multitasker with superior work ethic and good teamwork, problem-solving and organizational skills. Willing to take on any task to help team. Reliable and dedicated team player with hardworking and resourceful approach. Hardworking Student offering part-time work experience and extensive knowledge of core subject matter. Meticulous and detail-oriented with excellent observational, organizational and communication skills.

1.Diagnosing Parkinson's disease using Random Forests

• This project involved using classification algorithms and Ensemble techniques to diagnose Parkinson’s Disease (PD) using the patient voice recording data. Various models were used including Naive Bayes, Logistic Regression, SVM, Decision Tree, Random Forest etc. and comparison of accuracy across these models was done to finalise the model for prediction.

Skills and Tools : EDA, Logistic regression, Decision Trees.

2.Build a Recommendation system based on individual customers behaviour or choice 

• This project we build recommendation system using popularity based and collaborative filtering methods to recommend mobile phones to a user which are popular and personalised respectively.

Skills and Tools :  KNN , Classification.

3. Statistical Natural Language Processing 

• This project delivers 2 sub projects based on natural language processing and supervised learning classifier techniques. Part 1 Implementing a NLP based text classifier for a digital marketing company which can use input text parameters to determine the category based on blog’s literature from the corpus of numerous blogs curated and maintained. Part 2 Employing NLP text classifiers to curate and build a semi-rule based chat bot automation to be used as a technical support entity.

Skills and Tools : RNN, Text preprocessing, LSTM, Classification, TensorFlow, Word embedding.

• Course on Python from NIIT, Chennai 2018-2019.
• Used Microsoft Excel to develop inventory tracking spreadsheets.