Aditya T.

• Experienced working with several machine learning algorithms like Linear Regression, Logistic Regression, SVM, k-means Clustering, Decision Tree, Random forest, KNN, Neural Network, Market Basket Analysis, Data Mining, Deep Learning, Time-series Analysis • Strong foundation in data mining and statistical concepts like Descriptive and inferential statistics, data collection, hypothesis testing, measuring significance, Data distributions, confidence intervals, and probability distributions • Proven knowledge in data mining, machine learning and deep learning skills such as Computer Vision, Recommender Systems and Natural Language Processing • Skilled in data gathering, data cleaning, data transformation, model building and model deployment on structured, semi-structured data and unstructured data • Hands-on experience with IBM cloud and worked on many Watson services like Knowledge studio, Watson Assistant, Watson Studio, IBM Cognos Dashboard, Natural Language Understanding, Machine Learning, Functions and API’s • Strong experience in architecting real-time streaming applications and batch style large scale distributed computing applications using tools like Spark Streaming, Spark SQL, Kafka, Flume, Map reduce, Hive • Strong foundation in data mining and statistical concepts like Descriptive and inferential statistics, data collection, hypothesis testing, measuring significance, Data distributions, confidence intervals, and probability distributions • Experience in building strategies for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies