MS in Information Management
Specializations: Data Science & BI
That's where I come in!
With over 3 years of professional experience in Data Science and Business Intelligence, I have a proven track record of handling the data from source to advanced analytics and everything in between.
I am fluent in Data Warehousing, Data Wrangling, Machine Learning, Predictive Modeling and Visualization using Python, R, SQL, Tableau and Keras.
Why is there a photo of SpaceX Falcon Heavy rocket launch above?
Since my childhood, I have been fascinated by our universe, space exploration and science fiction. It was an incredible feat to land the two side boosters back on the Earth after pushing the rocket towards outer space. While watching this footage, I realized that this was symbolic of my life motto, a quote by Theodore Roosevelt - "Keep your eyes on the stars and your feet on the ground". Awesome, right?
It reminds me to dream big, be creative but at the same time live in the present and be humble.
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Leading and delivering analytics solutions for Cloud & AI Finance.
Building data pipelines that power Azure Health Report, a one-stop solution for all Azure cloud related KPIs.
Succeeded in establishing a data-driven partnership between HERE and an automobile giant by delivering crucial analysis. Developed 7 interactive dashboards in a data story to present to client by extracting and visualizing vehicle drive paths, weather, vehicle sensors, driver inputs using Tableau.
Analyzing text of 2.1 million news articles to cluster technologies and firms into 6-7 clusters. Building visualizations to present a trend of sentiment associated with firms and technologies
Identified $500,000 budget gap by doing Root Cause Analysis of 3 years of financial data from 14 Holland America cruise ships. Delivered 9 highly interactive dashboards to present insights about Environmental Compliance Program to top leadership.
Headed a team of 4 developers to generate $31 Million in revenue by implementing database system 'Prepaid ODS'. Deployed and built SQL scripts that processed over 10 million rows pulled from more than 15 fact and dimension tables. Achieved near-real time daily ingestion of 50 million rows into ETL using streaming data framework - Infosphere Streams
Graded assignments, final project consisting of an OLTP data model and database, stored procedures. Assisted students to learn advanced database concepts such as normalization, trigger, cursor, query plan and tuning.
Specialization: Data Science and Business Intelligence
GPA: 3.9/4.0
Relevant Coursework: Machine Learning & Econometrics, Social Media Data Mining, Visualization Design, Customer Analytics, Social Network Analysis, Information Architecture
GPA: 3.9/4.0
Silver Medalist, 2nd place for academic achievements in cohort of 150 undergraduate students
Relevant Coursework: Data Mining, Neural Networks & Fuzzy Logic, Data Structures & Algorithms
Seattle, WA 98105
nissim@uw.edu
+1 206 xxx xxxx