Data Analyst / Scientist

DIMITHRA RATNAYAKE

• adbfd4@r.postjobfree.com • www.linkedin.com/in/dimithra

SUMMARY

Data Analyst with 3+ years of experience and a diverse background, passionate in making data driven decisions. A highly skilled, quick learner who works well with minimum supervision in challenging environments.

EDUCATION

Master of Science in Information Technology and Management - GPA: 3.87/4.00

University of North Carolina Greensboro- December 2019 - Minor in Business Analytics.

Bachelor of Science in Electrical and Electronics Engineering - GPA: 3.35/4.00

University of Peradeniya - October 2014

PROFESSIONAL CERTIFICATES

Advanced Machine Learning and Signal Processing- Coursera, offered by IBM

Applied AI with Deep Learning- Coursera, offered by IBM

Databases and SQL for Data Science- Coursera, offered by IBM

Advance Diploma in Management Accounting- Charted Institute of Management Accountants, UK (2015)

TECHNICAL SKILLS

Python, SQL, SAS, SPSS, Statistics, Machine Learning, Apache Spark, Keras, MATLAB, Power BI, Tableau, SAP Business Objects, .NET, VBA / Macro

PROFESSIONAL EXPERIENCE

Business Analyst Intern - Volvo Group. Greensboro, NC. May 2019-December 2019

Transformed visualization, reporting and data analysis practices of the department by implementing new tools.

Created 7 dashboards for Volvo and Mack Pricing teams in Power BI which were implemented in 20 countries. Tools save more than 10% of the time for all the users and saved thousands of dollars rather than implementing third-party software for dealers.

Created Excel Macros (VBA) to automate repetitive and time-consuming processes saving 30% of the time for analysts to focus on core projects that bring value to the company.

Graduate Assistant - Bryan School of Business and Economics. Greensboro, NC. August 2018-May 2019

Conducted weekly and volunteer tutorial classes for MBA 701: Quantitative Analysis for Decision Making, which included probability, statistics, distributions, regression and optimization problems.

Utilized Advanced Excel functions, StatTools, PrecisionTree and @Risk add-ins in assisting students of Dr. Onyi Nwafor.

Assisted Dr. Vidyaranya Gargeya with research in Supply Chain Management.

Research Assistant - University of Minnesota Duluth. Duluth, MN. January 2017-May 2017

Analyzed survey data and built models using SPSS and AMOS to support a research publication of Dr. Aparna Katre.

Applied self-learned principal component analysis and structural equation modeling to obtain results.

Engineer - Mobitel Private Limited. Colombo, Sri Lanka. June 2015-August 2016

Optimized coverage by analyzing data extracted from databases using SQL to improve service quality.

Maintained a 99.98% availability of Mobitel’s 2G Network core nodes covering 20% of the country.

Data Analyst – Onesh Agri Private Limited. Colombo, Sri Lanka. January 2014-June 2015

Created models to predict drip irrigation system requirements.

Projected seed demand by analyzing historical data and supported decisions with statistical analysis.

KEY PROJECTS

Traffic Fatality Reduction – Project with the City of Greensboro:

Implemented an DBCAN model to identify special clusters and implemented Random Forest supervised machine learning models with Python Scikit-learn to identify locations with high impact and vital factors.

Recommended 5 pedestrian collision hotspots and factors relating to higher fatalities to the City.

Employment Prediction – US Solar Sector:

Implemented different regression, decision-tree and neural network models to predict the solar employment levels in different states and consumer groups.

Models predicted a Higher employment increase in commercial solar sector than in residential solar sector

Startup Consultation - Economic Development Fellows Program:

Oversaw market research, pricing and competitor analysis and business plan development.

Identified the market segment the product needs to be placed in and the pricing strategies that need to be implemented to be competitive in the market.

Electricity Price Prediction – Boston Region:

Implemented ARMA-GARCH models in SAS with 20,000 past price observations extracted from LCG Energy Online to predict hourly electricity price.

AR (1)-EGARCH (1,3) model gave the lowest error indicators out of all the 10 models that were tested.

Demographic Analysis – State of California:

Analyzed how poverty, unemployment, housing crowding and education attainment was related to each other and influenced by ethnicity and different regions.

Datasets from California Health and Human Services (CHHS) were merged to conduct statistical tests and regression models

RELEVANT COURSEWORK

Data Science, Principles of Predictive Analytics, Cognitive Computing & AI, Data Visualizing, Organizing Data for Analytics, Statistical Methods in Data Analytics, Statistical Computing, Econometrics 2

AWARDS

Recipient of Dean’s Service Award, Bryan School of Business and Economics– December 2019

Recipient of Labovitz School of Business and Economics Graduate Fellowship for 2017-2018

Placed 2nd in the 2016 Mercantile Knockout Basketball Tournament representing Mobitel basketball team

National finalist for E.W Karunarathna Award by the Institute of Engineers Sri Lanka (IESL) for the Final year Project “Development of a Stepped Frequency Ground Penetrating Radar”, (2014/2015)

2nd Best Paper publication for the 9th International Conference on Industrial and Information Systems 2014 (ICIIS 2014), Gwalior, India, out of 600 research papers

PROFESSIONAL AFFILIATIONS

Beta Gamma Sigma – University of Minnesota Duluth Chapter, 2017.

Institute of Engineers Sri Lanka – Associate Member (AM-17248), 2015.

Chartered Institute of Management Accountants – UK, 2015.

PUBLICATIONS

Ahamed, A.C.M., Amarathunga, K.D.D., Ratnayake, D.V., Gunawardena, A.U.A.W. (2014) Wideband Asymmetric Coupler with Optimally Positioned Capacitors for Improved Directivity. 9th IEEE International Conference on Industrial and Information Systems (ICIIS), Indian Institute of Information Technology and Management, Gwalior, India.

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