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

Deka Technology

AI4TR - Ülkem İçin Yapay Zeka Derneği

Member

Mentoring trainees in Data Science and Machine Learning.

Data Science and Machine Learning Bootcamp Teaching Assistant

•	Basic Principles of Network
•	Linux basic commands
•	Amazon Web Service, Introduction to Cloud Architecture and use of services (IAM, IAAS, PAAS, SaaS, RDS, FaaS,SSH-EC2)
•	AWS S3 Bucket
•	AWS Redshift
•	Amazon Kinesis
•	Mobile Application Backend
•	Web application development with ML algorithm using SageMaker

AWS Cloud Technical Bootcamp Participant

Kaggle

Notebooks Expert
https://www.kaggle.com/nerminbab

Content Writer

Medium

•	Machine Learning:
Linear Regression
Logistic Regression
K-Nearest Neighborns (KNN)
Classification & Regression Tree (CART)
Random Forests
Gradient Boosting Machines (GBM)
XGBoost
LightGBM
CatBoost
•	Unsupervised Learning:
K-Means & Hierarchical Cluster
Principal Component Analysis
•	Recommendation Systems
•	CRM Analytics
•	Measurement Problems, A/B Testing
•	Feature Engineering
•	Python
•	Pipeline

Data Science and Machine Learning Bootcamp Participation

Results-driven Data Scientist with extensive experience in exploratory data analysis, feature engineering, and building machine learning models for diverse real-life projects. Proactive, detail-oriented, and passionate about leveraging data to drive meaningful insights and optimize business outcomes.

taplio

The Battle

Serdar Tafralı

Nermin Babalik

Followers

Posts

Engagements

Likes

Ready to grow your LinkedIn presence?