Professional Experience

Deliv Inc., Data Analyst, Menlo Park (CA) 2019–Present

Created and implemented various statistical, predictive models to forecast volume, drivers, maintain driver retention and reduce driver attrition

Developed a system that can capture the anomalies in the forecast data and sends timely alerts to the team

Built a regression model that can accurately estimate the unit cost of order delivery based on the volume change for the following weeks

Correlation analysis to understand the relationship of forecast variance and cost

Problem solve how specific metrics need to be generated and, when required, work with the product and engineering teams to implement solutions (e.g. data gathering, gap analysis, work on submitted feature request or business requirement documents, file bugs etc.)

Simulated data of new accounts to determine the costing and pricing to determine if an account will be profitable to launch with Deliv retailer network Deliv Inc., Operations Intern, Menlo Park (CA) 2018–2019

Create new or reorganize existing scenarios, for example, consolidating delivery service regions and extending driver pool to assess potential expense and administration level consequences for the existing network

Gauge potential cost impact of new service launches on the current network

Market cost and profiles were determined by applying linear and non-linear regression to the historical delivery data

Developing network optimization and pricing tool

Worked on call center and dispatcher optimization Turkish Airlines (Miles and Smiles Loyalty Program), Istanbul 2016–2017

By using clustering analysis, association rule and apriori algorithm, campaigns were sent to the correct customer base.

Calculated customer value by RFM to make correct classification of customers.

New campaign types were created by searching literature and trends

New campaign types such as personnel campaigns were simulated and analyzed.

Increased email seen rate by the customers around %60 by using A/B test.

Worked on improving e-mailing operations by analyzing campaign success rate.

Next year's forecasted campaign schedule was prepared by using regression analysis of customer and flight data.

Bosch Thermotechnology (Sales Department), Istanbul Aug 2016-Sep 2016

Analyzed sales data for Turkey and prepared reports to make sale recommendations

Adapted sales disciplines

Visited dealers and experienced real-life sales events

Prepared contracts for sales team

Estimated year-end market share by using market data statistics

Conducted market research for new products planned to be produced adc9vj@r.postjobfree.com

650-***-****

Work Authorization: Green card

https://www.linkedin.com/in/tunahan-

dulman-491233137/

Languages

English: Fluent

Turkish: Native

References

Michael Hart (COO at Deliv)

Soumya Badam (Sr. Data

Analytics Manager)

Lutfi Ucar (Sr. Data

Scientist)

Coursework

Udacity Data Science Nano

Degree Program

Probability and Statistics for

Business and Data

Science

Skills

Computer skills: Python,

Pandas, SQL, Tableau, MS

Office

Statistical Modeling: Statistical

Tests (t-test, Chi-Square test,

ANOVA, Regression),

A/B Testing

Highlights

Experience in Data Analysis, Statistical Analysis, operations, data analytics, and network optimization

Eager to learn new tools, languages, and frameworks

Passionate to take on new challenges

Tunahan Dulman

Education

BSc, Dogus University, Industrial Engineering, 2012-2018

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