ENGLISH

IELTS Academic (Date: 10/2022)

Listening	7.0
Reading	6.5
Writing	6.0
Speaking	6.0

Overall	6.5
RESULT

Personal Characteristics

Patient

Determined

Result-oriented

Self-motivated

Detail-oriented

Publications

Understanding Hypothesis Testing (paired sample t-test) (Link)

Educational Instructions to Upload Data From Excel to SQL (Link)

Explanation of Monty Hall Problem (Link)

The Life Approach

To continue to do things at the point where everyone gives up.

Dividing the success into 2 parts as first is our achievements that we have already reached and another is the thing that we have learned from our unsuccessful attempts.

Hobbies

Playing Instrument: Playing bass guitar mainly. Moreover, I played in different events with band mostly at high school and took part in music competitions called "Vodafone Freezone" 2 times, when I was at high school.
Additionally, I can play other guitar types as well as some rhythms on drum.

ABOUT ME

I earned my BSc in Mechanical Engineering after studying at multiple institutions through exchange programs - including Yıldız Technical University (Farabi) and Silesian University of Technology in Poland (Erasmus). These experiences broadened my perspective both academically and culturally.

I recently completed my MSc in Data Science at the University of Sussex, where I focused my dissertation on analyzing social media sentiment in cryptocurrency markets. I combined large language models (LLMs) for sentiment analysis with LSTM models to forecast price trends, giving me hands-on experience with time series data and NLP.

I'm a highly motivated learner with a strong passion for building and experimenting with intelligent systems. I enjoy tackling complex problems, learning new tools, and developing innovative solutions - especially at the intersection of AI, data, and full-stack development.

Outside of technology, I enjoy playing guitar and have performed in several events and competitions during my school years. This creative outlet helps me maintain balance while continuing to grow in my technical journey.

More About Me

EDUCATION


Master	University of Sussex-Data Science (Brighton-United Kingdom \| 09/2023 - 10/2024) GRADE: Upper Second - Class Honours
Bachelor	Silesian University of Technology-Mechanical Engineering (Erasmus Student Exchange Programme) (Gliwice-POLAND \| 09/2019 - 02/2020)
Bachelor	Yıldız Technical University-Mechanical Engineering (Farabi Student Exchange Programme) (İstanbul \| 09/2018 - 06/2019) GPA: 3.27 out of 4
Bachelor	Bursa Uludag University-Mechanical Engineering (Bursa \| 09/2015 - 01/2022) GPA:3.36 out of 4
Highschool	Hasan Türek Anatolian Highschool (Manisa \| 09/2011 - 06/2015) GRADE: 79.29%
Academic Achievements	2017/2018 Spring Term; being in the first 10% (High Honor Student) 2017/2018 Fall Term; being in the first 10% (Honor Student) 2016/2017 Spring Term; being in the first 10% (Honor Student)

Master

University of Sussex-Data Science

(Brighton-United Kingdom | 09/2023 - 10/2024)

GRADE: Upper Second - Class Honours

Bachelor

Silesian University of Technology-Mechanical Engineering

(Erasmus Student Exchange Programme)

(Gliwice-POLAND | 09/2019 - 02/2020)

Bachelor

Yıldız Technical University-Mechanical Engineering

(Farabi Student Exchange Programme)

(İstanbul | 09/2018 - 06/2019)

GPA: 3.27 out of 4

Bachelor

Bursa Uludag University-Mechanical Engineering

(Bursa | 09/2015 - 01/2022)

GPA:3.36 out of 4

Highschool

Hasan Türek Anatolian Highschool

(Manisa | 09/2011 - 06/2015)

GRADE: 79.29%

Academic Achievements

2017/2018 Spring Term; being in the first 10% (High Honor Student)
2017/2018 Fall Term; being in the first 10% (Honor Student)
2016/2017 Spring Term; being in the first 10% (Honor Student)

EXPERIENCE

- Built a cloud-native system to ingest, process, and visualize real-time sensor data using AWS IoT Core, EC2, and FastAPI.
- Managed AWS services including IAM, Lambda, SNS, RDS (PostgreSQL), and DynamoDB for secure and scalable infrastructure.
- Developed CI/CD pipelines using GitHub Actions to deploy React (frontend) and FastAPI (backend) applications via Docker on EC2.
- Designed a modular FastAPI backend with scalable API endpoints; deployed initially on Render, later migrated to EC2 for full-stack control.
- Created an interactive React.js dashboard with real-time sensor visualizations and filtering options for historical data analysis.
- Implemented alert systems using AWS Lambda and SNS to notify stakeholders of anomalies or system failures.
- Progressing toward the implementation of machine learning models to extract actionable insights from sensor data and support optimization of irrigation and farming practices.

- Participated in 5S controls across multiple factory units and contributed to workplace organization and standardization efforts.
- Assisted with tagging tools and improving equipment arrangements to enhance accessibility and safety.
- Observed operator workflows and production line behavior to identify inefficiencies, reporting findings to the production manager regularly.
- Attended team meetings and brainstorming sessions to propose and evaluate improvement opportunities in production efficiency.
- Prepared SMED (Single-Minute Exchange of Dies) forms and spaghetti diagrams to reduce setup times and analyze motion paths.
- Monitored real-time operations and evaluated Overall Equipment Effectiveness (OEE) to assess machine utilization and productivity.
- Imported data from Power BI to Excel and created bar, line, and pie charts segmented by operator, machine, and shift for performance evaluation.
- Performed data analysis on production metrics to support informed decision-making and continuous improvement initiatives.

PROJECTS

Developed a full-stack AI chatbot that enables conversation context retention, user authentication, and dynamic chat history retrieval using React (Firebase) and FastAPI (Render) with Firestore. (Chat Now)

Conducted SQL-based revenue and conversion analysis, categorized acquisition channels, and calculated LTV by country. Implemented machine learning models including Random Forest, XGBoost, and LSTM to predict user churn probability and potential customer lifetime value.

Dissertation: Social Media Data Analysis of Cryptocurrency Markets: Analyzed Reddit data to explore the impact of social media sentiment on cryptocurrency prices. Used combined Large Language Models (LLMs) for sentiment analysis and Long Short-Term Memory (LSTM) models for price forecasting, focusing on a one-month period. (Project Documents)

Predicting 3 next year’s export value of crop products by using Neural Networks on FAOSTAT data (Link)

Image processing by using methods on Matlab such as removing noise, rotating and projection, and detecting colours and shapes (Link)

NLP Propaganda detection and classification by using 2 approaches, BERT and bag-of-words (Link)

Activity prediction to the dataset of physical activity dataset (Link)

Calculating Time Complexities of Similarity Algorithms (Link)

NLP Movie reviews sentiment analysis by using both Wordlist Classifier and Naive Bayes Classifier (Link)

Creating a dashboard on Power BI (Link)

Practicing on SQL (Basic Queries, Projects)

Visualization of a dataset on kaggle (Link)

Website designing by Bootstrap (Source Code , Website)

Balancing of a ping-pong ball by PID controller on Arduino (Source Code , Video)

Final Project: Working on the controlling of the roll, pitch and yaw axes of the Quadcopter, which was designed and printed by me through SolidWorks and 3D printer respectively, in real time by using Arduino and Matlab Simulink. (Presentation Video , Project Documents)

Modelling a mechanical press model and creating graphics related to kinetic analysis after determining the links and supports by Siemens NX with other group members. (Project Document)

Gearbox design and modelling on Autodesk Inventor (Project Documents)

Designing of pressure vessel related to machinery design lecture at Silesian University of Technology (Project Documents)

Coding of PLC for automated car parking system on Panasonic software with project members from Yıldız Technical University. (Project Documents)

Modelling of “Mass-Spring-Damper” in Simulink, Simscape, Simmechanic on Matlab and implementation PID controlling of velocity and position.

2 projects related to "Computer Aided Heat Technique Calculations" by Ansys fluent:

-Examining of temperature changes in the wall of barrage by modelling 2D (Project Document)
-Examining of flow through "2-D Curved Backward-Facing Step" (Project Document)

Working on Arduino and implementation of different types of projects during pandemic:

-Balancing of ping pong ball by PID controller (Video , Source Code)
-The controlling of the electrical vehicle from mobile application by HC06 Bluetooth module
-Parking sensor by HC-SR04 and printing the distance to LCD screen
-Remote position changing of the servo motor by using NRFL2401 and joystick
-Line follower electrical vehicle by using infrared sensor