Skilled in data cleaning, mining, scrapping , modelling and do predictive as well as descriptive analysis. Also, highly interested in technical content writing or research.
Database - MySQL
No SQL Database – MongoDB, Hive
Languages - Python, Spark, R, C++, Bash Scripting
Machine Learning – Supervised, Unsupervised (Sklearn, MATLAB, Spark, Azure Ml), Deep Learning (Ongoing Course)
Packages - Scikit-learn, Natural language processing, Spacy, Keras, TensorFlow (Learning)
Visualization -Plotly, Tableau, Power BI, Open Refine, Google Cloud Prep (GCP), Microsoft Excel
Coursework - Design Thinking, Statistics, Data Base Management System, Business Intelligence, Data and Text Mining, Time Series & Forecasting, Research Methodology
Azure – Data Lakes and ML Studio
Aws- EC2, lambda functions, S3 bucket