Miuul

In my current role, I am at the forefront of shaping the next generation of Data Science and Machine Learning professionals. As a team leader, I oversee the progress and development of five dedicated Teaching Assistants, ensuring that the quality and efficiency of their instruction are consistently upheld to the highest standards.

A significant part of my work is focused on mentoring trainees, where I facilitate their transformation from budding enthusiasts to skilled practitioners. I provide targeted guidance and advice on complex Data Science projects and Machine Learning implementations, fostering an environment that encourages growth, curiosity, and learning-by-doing.

My role also involves in-depth code reviews to ensure accuracy and effectiveness in script and project executions. By promoting best coding practices and emphasizing the importance of understanding underlying algorithms and models, I help our trainees to develop not just technical proficiency, but also an analytical mindset that is essential in the rapidly evolving field of Data Science and Machine Learning.

Data Science Mentor

Deloitte

As a member of the Data Analytics team within the Audit department at Deloitte, I specialize in developing custom projects and solutions in Python to address the data organization, formatting, and analysis needs that surpass the capabilities of traditional tools like Excel for all audit teams. My role involves handling the data and procedural aspects of journal entry testing on financial accounting statements, streamlining processes, and ensuring accuracy and efficiency in data-driven audit tasks.

Data & Analytics Specialist

Vakko

Managing data systems and writing ETL processes with SQL to gather data from FormulaDB to create
relational databases on AWS Redshift. Analyzing data to derive business insights and strategies related to
Vakko's data, and utilizing AWS Cloud Services. Implementing projects such as Rule-Based Customer
Segmentation, CLTV (Customer Lifetime Value) Prediction, RFM Analysis, Recommendation Systems,
Churn Prediction, Demand Forecasting, and Price Prediction using machine learning for the retail business.

Data Scientist

Conectys

Categorizing and tagging content to create a training dataset of an Artificial Intelligence that moderates their content in accordance with the community standards of a major social media platform.

Data Specialist

DenizBank

-Direct Debit System: Making collections within the scope of the Direct Debit System through DenizBank
-Tax Collections: Under the protocol signed between DenizBank and Republic of Turkey Ministry of Finance, performing the kind of collection of tax collection allowed to Denizbank
-Reconciliation: Ensuring the control of the accounting and payment information of the institutions that make collections through Denizbank by comparing the bank and institution values
-Customer Priority Flows: Responding to complaints and requests from customer satisfaction units through customer priority flow
-Collection Institution Definition: Making parametric definitions of institutions that DenizBank collects with
-Corporate Collections: A cash management service that allows the bills of companies that sell electricity, telephone, cable broadcasting, internet, gas, water, and companies that provide mobile phone subscription services through DenizBank distribution channels
-ServiceDesk Calls: Problems and requests from branches and headquarters units are directed through the central operations department service.

Cash Management Specialist

GPay E-Money & Payment Services

-Designing collective campaigns by establishing cooperation with partner companies.
-Developing marketing strategies based on analysis of customer and transaction data.
-Managing GPay's social media operations.
-Supporting community and event management in fairs and offline events

Business Development Assistant

Akademi İstanbul Sportif Organizasyonlar

Basketball Coach

I am a Data Science Mentor at Miuul, a platform that offers Data Science and Machine Learning bootcamps and courses. In this role, I oversee the progress and development of five dedicated Teaching Assistants and provide targeted guidance and advice to trainees on complex Data Science projects and Machine Learning solutions. I am passionate about sharing my knowledge and skills with the next generation of Data Science and Machine Learning professionals and fostering an environment that encourages curiosity and learning-by-doing. I have a strong mathematical background, as I am currently pursuing a Master's Degree in Artificial Intelligence Engineering at Üsküdar Üniversitesi, after completing a Bachelor's Degree in Mathematics and an Associate's Degree in Computer Programming at İstanbul Üniversitesi. I am also an avid blogger and writer, publishing articles and projects on various topics, techniques, and information related to Data Science and Machine Learning on my Medium blog and on Miuul Notepad.

Serdar Tafralı

DeFactoFIT Teknoloji A.Ş.

Customer Insight Specialist

- Design and follow ETL processes using
- Interpret data, find patterns, anomalies, trends, etc. in large and complex data sets. Analyze results using statistical techniques
- Understand business objectives, data requirements and transform them into valuable insights and analytical solutions
- Management and optimisation of 1 to 1 communication channels (e-mail and appPush),
- Reporting, monitoring and analysing the success of communication plans through KPIs and suggesting ideas for continuous improvement,
- Continuous analysis and segmentation of the user base and optimisation of these segments for better volume and impact

Data Management Assistant Specialist

Data Analytics Bootcamp Participant

- PyCharm, Virtual Environments, Dependency, Management, Git
- Measurement Problems (Rating Products, Sorting Products, Sorting Reviews, AB Testing)
- CRM Analytics (KPI, Cohort, CLTV, Segmentation)
- RFM Analysis
- BG-NBD: Expected Sales Forecasting
- Gamma-Gamma: Expected Average Profit
- Churn Analysis
- Recommendation Systems (ARL, Collaborative Filter)
- Feature Engineering and Data Pre-Processing (Outliers, Missing Values, Encoding & Scaling, Feature Extraction)
- Machine Learning (Lineer Regression, Logistic Regression, Decision Tree, Random Forests, CART, KNN, K-Means, GBM, LightGBM, XGBoost, CatBoost, AdaBoost)
- MS SQL

Data Science & Machine Learning Bootcamp Participant

Interklas

While working in the Information Technology department at Interklas, a company operating in the textile sector, I was responsible for:

- Tracking and reporting the company's raw materials and product inventory.
- Managing and reporting employee salaries and benefits digitally.
- Assisting in the tracking and reporting of operations within the supply chain.

Information Technology Intern

My current experience at DeFactoFIT is in designing and following ETL processes, interpreting data, finding patterns, anomalies, trends in large and complex data sets, analyzing results using statistical techniques, understanding business objectives, data requirements and transforming them into valuable insights and analytical solutions, one-on-one taking part in the management and optimization of communication channels (email and notification), reporting, monitoring and analyzing the success of communication plans through KPIs and proposing ideas for continuous improvement, continuous analysis and segmentation of the user base and better volume and I perform optimization tasks for impact.

By participating in the Data Science and Data Analytics Bootcamp, I have had the opportunity to strengthen my curiosity and knowledge in the field of data and build real-life projects with this knowledge. I also continue to be part of a community where I can continuously improve myself.

taplio

The Battle

Serdar Tafralı

Kadir Akbalık

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