Dileepa Heshan Ariyawansa

** ********* *****, ***** ****,

NJ 08502.

614-***-****/ 614-***-****

ad0tbn@r.postjobfree.com

OBJECTIVE:

Detail-oriented and communicative science graduate with a double major in statistics and economics, backed by a year of internship experience. Proficient in R, SQL, Python, SAS, MATLAB, Tableau, and Excel. I am eager to launch a career as a data analyst to further my professional and academic aspirations while delivering significant value to the organization.

EDUCATION

Rutgers University: Bachelor of Science in Statistics and Economics May 2018 - Dec 2022

Relevant Coursework:

●Forecasting & Big Data

●Econometrics

Certification

CAP-Certified Analytics Professional

CDMP-Certified Data Management Professional

WORK EXPERIENCE

Assisting Independent Data Analyst on Market Research Projects-Freelance Consultant Mar 2023-Todate

Analyze consumer behavior (spending) of different products in different seasons by using mixed linear models.

Construct bar charts, box, and scatter plots for consumer spending vs. seasons for different products.

Test hypothesis for the mean difference of consumer spending on different product categories in different seasons.

Develop scripts to ensure proper data access, manipulation, visualization, and reporting functions with R programming language.

Janssen Pharmaceutical (Johnson & Johnson), Titusville, NJ - Co-op Intern Jun 2022 - Dec 2022

●Developed and implemented statistical models to analyze the performance of over 30 products in their portfolio, resulting in increased revenue.

●Leveraged Excel and Tableau to develop comprehensive analyses and comparisons of Johnson & Johnson's company's product portfolio against competitors.

●Generated detailed breakdowns and visual representations using Tableau to present key insights and facilitate informed strategic decision-making.

●Employed Tableau's powerful visualization capabilities to create intuitive dashboards and reports that effectively communicated complex information.

●Utilized R programming language functionalities to manipulate and organize data, ensuring accuracy and reliability in the analysis, actively collaborated with cross-functional teams to gather and interpret data, ensuring the accuracy and relevance of the analysis.

●Proactively participated in data analysis meetings for various products in the Established Products Portfolio, resulting in informed decision-making and improved product performance.

●Managed and maintained the Established Products Website; ensured promotional videos were edited according to company standards, updated content to ensure website functionality and design remained in line with company standards and best practices.

Rutgers Cardiovascular Institute, New Brunswick, NJ - Research Assistant Jun 2021 – Dec 2021

●Worked on research for CIED Infection Rates (Cardiovascular Implantable Electronic Devices), such as pacemakers (PPM) and Implantable Cardioverter Defibrillators (ICDs).

●Utilized R programming language to perform complex data analysis on large data sets developing statistical models to uncover correlations and trends, providing valuable insights.

●Conducted extensive data analysis on a large-scale hospital data set, comprising over 8 million entries spanning 40 years.

●Utilized advanced data organization techniques to create subsets to sift out irrelevant data.

●Leveraged statistical methods to uncover patterns and trends, which provided valuable insight to researchers.

●Participated in weekly meetings with researchers to discuss the statistical findings of our work.

ACTIVITIES

MLB Select Program Mar 2020

Society for American Baseball Research (SABR) Analytics Conference

Chosen to a select group of individuals to be recruited by all 30 MLB teams and the commissioner’s office concerning front-office positions such as data analysts and data architects. Attended the SABR Analytics Conference in Arizona, and networked with multiple analysts and executives within the MLB.

RELEVANT TECHNICAL SKILLS

●Computer Languages: R, SQL, Python, SAS

●Machine Learning Models: Regression

●Computer Software: MATLAB Simulink, R Studio,, Tableau, Excel

●R Packages: ISLR, Forecast, ggplot2, olsrr

PROJECTS

●xwOBA and wOBA differential to predict future performance (2019): Conducted a project to observe whether the differential between expected weighted on base average (xwOBA) and weighted on base average (wOBA) can predict a player’s future performance using linear regression. (https://github.com/DileepaAriyawansa/xwOBA-vs-wOBA)

●Hard Hit % indicator to predict future breakout performances (2019): Conducted research on predicting “breakout” players based on hard hit percentage and average fly ball distance to see which players could produce more “extra” base hits if they switched teams.

INTERESTS:

Football, baseball, basketball, swimming, music

REFERENCES: Available upon request

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