Data Scientist Resume
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Buffalo, NY
SUMMARY
- Data and Analytics professional with success in data analysis, predictive modeling and business intelligence. Knowledgeable in data warehouse modeling, data modeling and basics of system administration.
- Demonstrated experience in higher education, solved complex problems and competent to tackle and solve new problems.
- A people person, experienced working people from multiple cultures, with diverse backgrounds and varying levels of academic preparation, strongly believe in investing in people and maintaining good relationships.
PROFESSIONAL EXPERIENCE
Business Intelligence: Argos, Pentaho Business Analytics, Data Integrator, MicroStrategy
Statistical Analysis: R, R/SQL, SPSS, SAS, Matlab
Data Analytics: Hadoop, Pig, Hive, MongoDB
Modeling: AnyLogic, GAMS/CPLEX, Mathematica
Tools: Confluence, SharePoint, Omnigraffle
PROFESSIONAL EXPERIENCE
Confidential, Buffalo, NY
Data Scientist
Responsibilities:
- Designed big data service leveraging social media data and structured data, strategy and architecture using ITIL framework
- developed RACI Matrix for social media analytics service, prepared RFP checklist to vendors and developed matrix to evaluate vendors with regards to features, licensing model and cost
- prepared runbook (list of procedures to follow to get onboard) for deploying analytics as a service to participating campuses
- Developed data processing pipelines for analytics and modeling using Oracle SQL, R, Linux
- Wrote over 4000 lines of Oracle SQL based ETL scripts for Banner and Blackboard to query, clean and process data for student success
- Utilized R/H2O, caret, dplyr for data extraction, cleaning, normalization, analysis and predictive modeling
- Developed 2 data models for results database, created tables and exported analytics results to results database
- Designed UI and developed 3 drill - down dashboards with 6 views for student success analytics service consumption
- Owned Argos, dashboard/reporting tool, responsible for maintenance, upgrades and networking issues with Argos and MAPS server
- Consulted CIOs and stakeholders from 7 SUNY institutions to convince to buy-in, gathered requirements for Phase I and delivered analytics presentations at conferences
- Presentations using MS PowerPoint, technical and functional sketches using OmniGraffle, Video animations and story-telling and storyboards using PowToon’s and OmniGraffle
- Consulted on testing (JavaScript), deployment, and bug identification on PixStori, a multimedia object sharing portal on iOS
- Organized periodic conference calls, sharing regular updates, worked independently under minimal supervision
Confidential, Buffalo, NY
Data Analytics Graduate Assistant
Responsibilities:
- Built and maintained 6-node Hadoop cluster for developing large scale data processing prototypes
- Developed and conducted survey analysis using Qualtrics software for State University of New York professional science master’s program initiative and prepared spreadsheet reports to President of SUNY PSM Consortium
- Performed data cleansing using MS-Excel and managed data in MySQL database
- Taught shell programming, SSH and Linux user account creation for math seniors in absence of professor
- Proctored exams and tutored grad students in troubleshooting assignments for ACM610
- Programmed/developed a web application prototype to Center for Development of Health and Social Services, New York to automate eligibility requirements calculation worksheet and eliminate errors on budget calculations
- Front-end using HTML, CSS and JavaScript and back-end using PHP/MySQL on an Apache server
- Gathered requirements by collaborating with various stakeholders, organize conference calls, prepare project documentation, minutes of meetings, manage deadlines
Confidential, Buffalo, NY
Simulation Modeling Technician
Responsibilities:
- Develop a discrete event simulation model from scratch using AnyLogic by analyzing the business requirements to answer operational planning problems
- Perform statistical analysis of ERP data using R, SPSS and MS-Excel and developed statistical models that would be embedded into the simulation model
- Develop a predictive prototype simulation model from scratch to optimize plant scheduling and to increase longevity of plant equipment
- Perform statistical analysis on ERP data and modeled statistical distributions for process variables using R and @Risk
- Develop predictive models to predict coil yield and performed statistical experiments for simulation model
- Gather requirements by regular meetings with management and presented results periodically