I am a highly analytical, results-driven data analyst, who works quickly and accurately under tight deadlines. Extensive
knowledge of advance statistical methods, data pipeline development, and visualization using open source tools such
as R, Python, and SQL for advanced data analysis and custom visualization/dashboards using R-shiny, d3.js and
tableau. I am currently seeking a challenging freelance data analytics position.
I have a Bachelors degree in Applied Mathematics with concentration in operations research and a bachelors degree in Chemistry
Data Content Specialist, 01/2016 to Current Airline Reporting Corporation ARC – Arlington, Virginia
Performed monthly ad-hoc statistical and data mining analyses for airline clients and media companies. Used data mining methodologies to extract insights from travel industry data and developed data rich visualizations to communicate complex analytics to customers. Conducted statistical analyses such as exploratory, data mining analysis to identify trends, making conclusions, and providing insight from large travel data sets using R. Developed interactive web application dashboards data visualization using structured data in Tableau, d3.js, and R shiny for external and internal clients. Developed statistical learning models using regression and ARIMA models in R to identify and predict travel patterns and destination in the travel industry. Created moderate to complex SQL queries in Teradata SQL Assistant for data extraction and performed data consulting services to outside clients in the airline industry. Reviewed and enhanced referential and historical integrity of reference table that support data driven products and familiar with end-to-end data lineage, data governance, impact and dependency analysis in ab initio Metadata hub. Created business requirements and for data quality projects and performed data quality tasks using agile methodology.
Evaluated data quality and design process to identify and correct enterprise level data. Developed new business logic to prevent known data quality issues from reoccurring. Provided airline data consulting services to internal and external clients.
Data Analyst, 05/2015 to 12/2015 Dimension Data North America – Centerville, Virginia
Performed ad hoc statistical and data mining analyses for telecommunications clients Manipulated, cleaned, and processed large telecommunication data using R and SQL Performed data auditing, loading, extraction, validation and migration of client data Tracked and preserved data integrity through multiple phases of implementation cycle Created extensive standard and ad hoc reporting using data analytics and business Intelligence tools for integration of client’s data Produced, maintained and distributed reports, both in production environment and on ad hoc basis Used SQL and SAS to extract, transform and load source data from clients Carried out cost saving measures and inventory management for clients.
Engineering Data Intern, 04/2013 to 12/2014 CSD Engineering Firm – Baltimore, Maryland
Performed ad hoc statistical and data mining analyses during product development and testing. Collected, accessed, and forwarded performance and reliability related issues to the appropriate business support personnel. Supported engineering team in maintaining compliance with CMMI, ISO, SDLC and other industry benchmarking standards. Identified and defined business problems, such as those in production, logistics, or sales using SAP Logistics and Material management Collected and organized information from MS access databases such as inventory Management, Sales, Benchmark Testing and Documentation. Performed and ensured complete collection, analysis, and trending of project and corporate metrics on a monthly basis in Excel Created daily memos, reports, and other documents, outlining their findings and recommendations for managers, and sending them out weekly using Task Scheduler. Developed, communicated and measured program goals, including program expansion with global team using SharePoint. Developed statistical analysis and data mining using SAS and R packages for engineering team. Developed dynamic purchasing schedule that maintained inventory levels, allowing for best pricing in MS Access Database.
Research Data Assistant, 06/2012 to 04/2015 University of Maryland – Catonsville, Maryland
Assisted research team by collecting data and analyzing data, designing research framework reviewing literature. Recommended suitable techniques and methods to analyze quantitative data. Created survey questionnaire for polymer company as part of a study on their target market for their new product.
- R programming (5 years)
- Python programming (2 years)
- Data visualization in Tableau and shiny (3 years)
- Statistical Modeling (2 years)
- Advance SQL programming(2 years)