“If You Can't Explain it to a Six Year Old, You Don't Understand it Yourself” - ALBERT EINSTEIN
That is how a Data science job is ,I believe . Anyone is capable of programming in the present day world. It all comes down to who can interpret the results in common man terms . I strongly follow it right from my first day of Data driven analysis.
I am a graduate student in Management Information systems under the Data analytics track looking for full time opportunities as a Data analyst . I have close to 3 years of experience as an analyst and worked as a developer as well . I have mentioned the current projects that I am working on in the projects section.
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Experience
DATA SCIENCE ANALYST - CAPSTONE PROJECT | Third Estate Analytics, Buffalo NY Aug 2019 – Jun 2020
• Pre-processed data (2.3 million records) by loading datasets to AWS EC2 storage and merged datasets using pandas.
• Showcased geographical plots to client which included parking violations (2008-2019) in each street across Buffalo, which determined factors influencing the development of neighborhoods.
• Communicated analytical outcomes to both business and technical teams using Tableau for data from Open Data Buffalo.
• Built supervised machine learning models to rank neighborhoods based on increase in parking, housing and code violations over 11 years, which helps in client’s real estate investments.
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Projects
DATA ANALYST – RESEARCH PROJECT MEMBER | Philanthropy Team, University at Buffalo Sep 2019-Dec 2019
• Visualized historical data regarding alumni (2008-2018) and showcased 10+ user interactive dashboards to provide insights to Philanthropy Team.
• Developed predictive models and data mining techniques in Python to classify alumni into various donor categories (Accuracy: 93%) and enhanced performance by adding Probabilistic Model (Markov chains) to predict probability of donation and amount of donation respectively.