
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in a range of areas relevant to business success.
MS Office(Word, Excel and Powerpoint
Python(NumPy, SciPy, BeautifulSoup, Pandas, Matplotlib, Plotly, Seaborn and Scikit Learn)
SQL(SQLite, MySQL and Postgres)
Quantification (Science)
Statistical analysis
Intelligence gathering
Data Mining
Machine learning
Adobe Suite(Photoshop, Illustrator, InDesign, Dreamweaver and Spark