Elif Seray Dönmez

Data Scientist

https://talent.gravityer.com/elif-seray-donmez

Software Developer at Trendyol

Istanbul, Istanbul Province, Turkey

Key Strengths

Demonstrated interest in data science through the 'Predict-ASD-with-KNN-SVM' project using R.
Exposure to multiple programming languages (Swift, C++, Java, JavaScript, R, Ruby, Objective C, Starlark, TypeScript) indicates versatility.
Experience with mobile application development (iOS, Android, Xamarin.Forms).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal projects across various domains (mobile apps, web, data science, algorithms). This indicates a self-starter attitude and a broad interest in technology. The 'Predict-ASD-with-KNN-SVM' project aligns with the target role of Data Scientist, suggesting a potential fit for roles requiring analytical problem-solving.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Projects

Predict-ASD-with-KNN-SVM

May 22, 2018 – May 22, 2018

Autism Spectrum Disorder is predicted by using KNN and SVM algorithms in R.

View Project

Evant_Web

March 3, 2018 – May 9, 2018

Evant_Web — repository

View Project

Evant_Mobile

February 11, 2018 – January 25, 2023

Evant_Mobile — repository

View Project

Hashing

January 23, 2018 – January 24, 2018

.NET Core Hashing Algorithm

View Project

Evant_Admin

January 20, 2018 – May 29, 2018

Evant_Admin — repository

View Project

Horoscoper

December 4, 2017 – November 10, 2019

Horoscope project for iOS with Swift 4.

View Project

TokenBasedAuthenticationCore2

August 28, 2017 – August 28, 2017

TokenBasedAuthenticationCore2 — repository

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Pomodoro

April 22, 2017 – December 9, 2017

Xamarin.Forms project for #hackwithmvp

View Project

Socket-Programming

April 15, 2017 – April 15, 2017

One Server Multi Client Chat Program

View Project

Sahaf

April 15, 2017 – April 15, 2017

An online 2nd hand book shop, Android application

View Project

Key Strengths

Demonstrated interest in data science through the 'Predict-ASD-with-KNN-SVM' project using R.
Exposure to multiple programming languages (Swift, C++, Java, JavaScript, R, Ruby, Objective C, Starlark, TypeScript) indicates versatility.
Experience with mobile application development (iOS, Android, Xamarin.Forms).

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Elif Seray Dönmez

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit