Tolga Balcı

• Training new agencies that can onboard new sellers to the eBay platform. • Consulting agencies on their queries regarding their managed sellers. • Consulting agencies and sellers regarding sales projections, marketing, advertising, listing quality, listing methods, inventory upload method, after-sales cases, system metrics, and traffic. • Consulting agencies and sellers on the platform related and technical issues, as well as managing escalation processes. • Researching business development methods in order to find new leads. • Reporting the performance evaluation and projection of sellers. • Generating reports of action points for sales performance improvements. • Onboarding, training, and managing new and existing accounts.

Kuyumfiyat is a Svelte based web application used by Turkish Jewelers. It was developed by Tolga Balcı in order to facilitate price calculation needs under rapidly changing conditions. • Conducted a review of the existing price-calculation solutions. • Performed a requirement analysis including interviews with 10 industry specialists in order to provide the required list of features. • Designed the system via use case diagrams, activity diagrams and design mockups to increase usability. • Tested the application through the test cases specifically designed to ensure stability.

Profit-maximizer is a smart contract designed by Tolga Balci to maximize profit for organizations sharing a common price policy. The scope of such organisations involve the ones that have bidirectional sales relationship where the customers can sell to as well as buying from the organisation. Example of such organisations are precious metals companies and currency exchange offices. The contract allows such organisations to provide their recent buy and sell information. After the information is collected, the contract can be called with a reference buy and sell price. Once the contract receives the reference buy and sell price from one of the members, the contract will return an array involving a suggested buy price and a suggested sell price. The suggested buy and sell price is created by shifting the standard profit margin back and forth between buy and sell region depending of the recent trend that was provided to the contract by the organisations authorised by the contract. www.loom.com/share/9a11429a8ebc4700b1c2eb7b5549cc27

• Contributed greatly to resolve the price war that lasted 15 years between the jewelers in the region through collaboration and Kuyumfiyat application which boosted the revenue by %33. • Utilized data mining tools in order to identify seasonal consumer behavior patterns which increased the revenue by %12. • Reduced the employee turnover rate through effective change management and team building activities. • Supported and simplified business processes through optimizing information systems and technologies. • Facilitated the adoption of new information systems through employee trainings.

AppPreExam is an Android mobile application developed by Tolga Balci that provides students exam preparation guidance and support through suggesting exam preparation recommendations based on the information received via the application. • Conducted a literature review in order to understand how the literature can provide a basis for recommendations. • Reviewed the existing exam preparation mobile applications. • Performed a requirement analysis in order to provide the required list of features. • Designed the system via use case diagrams, activity diagrams and design mockups to increase usability. • Developed the system via Android Studio and Parse Server as the backend as well as preparing database schemas. • Tested the application through the test cases specifically designed to ensure stability.