Data Scientist

AWS EMR, S3, Cloud9, PySpark, Tableau, Python, SQL, R, Git, Jira, Bit Data Analysis, Redshift

A results-driven professional Data Scientist, with over 4.5+ years of experience in Data Science, Data Analytics, Machine Learning, Business Intelligence & Data Engineering related roles with excellent problem-solving and negotiating skills.

SQL, MySQL, PostgreSQL, Mongo DB, RDB, CloudComputing, AWS, EC2, X2Go, Putty, Python, TensorFlow, Debugging,Collaboration, Github, Git, APIs, Flask, GraphQL, Continuous Integration, Machine Learning

Data Analysis tools: Matlab/Octave, SAS, R,Python | OpenCV, VXL, OpenCL, Image processing, Machine learning and Data Analytics techniques | C, Objective-C/Cocoa |Experience with MAC OSX, Windows, Linux |
Experience with Mongo database tools | Microcontrollers, Hardware Languages (VHDL) and platforms (Modelsim)

A beginner level Data Scientist with good knowledge in Python, AI, AWS, ML, C#, Java, DL, Problem Solving, Maths, Networks programming, Deep Learning, NumPy, Beautiful Soup, Matplotlib, Statistics, Sklearn, OpenCV, Pandas and Scikit

Languages: JAVA, C, C++, JAVA SCRIPT, PYTHON, HTML, CSS, R Programming, Hadoop | Software Tools: React JS, Node JS, Git, Firebase, Mongo DB, Eclipse, MySQL, Postman, Android Studio, Visual Studio, Microsoft SQL Server, Management Studio, AWS, Jupiter Notebook

Data science skills: python, MYSQL, Tableau, Data Preprocessing, Ml Algorithem, Statistics, Data analysis and visualization

Machine Learning & Deep Learning, Python, Jupyter Notebook, Google Colab, MySQL, Tableau, Power BI, Excel, MS Office, GitHub.

Reading: M.Sc Data Science, R Programming, Python, Data Analysis, Data Mining, Machine learning, SQL