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

BeeBI Consulting GmbH

Data Engineer

Crystal System

➡️ Developed and maintained monthly global spend dashboards on Qlik Sense tailored for both managers/analysts and C-level executives. This initiative streamlined the financial overview process, enhancing strategic decision-making across the organization.

➡️ Built an ETL pipeline that processed transactional and event data from a web application with 2,000 daily active users. This innovation led to annual savings of over $25,000 by reducing reliance on external vendor resources.

➡️ Conceptualized and implemented an automated end-to-end reporting process utilizing Qlik Sense and OBIEE. This automation resulted in a significant reduction of manual workload, saving 80 hours per month.

➡️ Spearheaded the creation of a data and reporting infrastructure from scratch using Qlik Sense and SQL. This foundation enabled real-time insights into product performance and marketing funnels, contributing to a 40% increase in the user base.

➡️ Developed and managed comprehensive reporting for a vehicle buying/selling program using Python, SQL, and Excel. This efficient system contributed to saving approximately 60 hours of labor monthly.

➡️ Handled, cleansed, and prepared data from a client with a 600-strong customer base utilizing Qlik Sense, Python, SQL, and Excel. This preparation enabled data scientists to construct effective marketing mix models, enhancing targeted strategies.

Data Analyst

➡️ Provide expert guidance and training in data science and machine learning to a diverse cohort, including students, recent graduates, professionals with limited experience in the field, and individuals transitioning from other industries. Focus on equipping participants with practical skills and industry insights to advance their careers in data science.

➡️ Core Areas: Machine Learning, Data Science, Artificial Intelligence, CRM Analytics, Measurement Problems, AB Testing, Recommendation Systems, Feature Engineering, Cloud Computing, Agile & Scrum.

➡️ Programming & Tools: Python (including libraries like Numpy, Pandas, Matplotlib, Seaborn, Plotly), Pycharm, SQL, Git, Linux Commands.

· Python Programming: Covered essentials like Data Structures, Functions, Conditional Expressions, Loops, Comprehensions, and EDA (Exploratory Data Analysis).
· CRM Analytics: Focused on Cohort Analysis, KPI, CLTV, RFM, Customer Segmentation, and Sales Forecasting using BG-NBD and Gamma-Gamma models.
· Recommendation Systems: Explored Association Rule Learning, Content-Based, Item-Based and User-Based Collaborative Filtering, Model Based Matrix Factorization, and Hybrid-Based Recommendations.

➡️ Advanced Topics: Detailed study in Machine Learning (Linear/Logistic Regression, KNN, CART, Random Forests, GBM, XGBoost, LightGBM, CatBoost), Unsupervised Learning (K-Means, PCA, Hierarchical Cluster Analysis), NLP, Demand Forecasting & Time Series.

Data Science & Machine Learning Bootcamp Participant

BI Technology Qlik Master Reseller

➡️ Partnered with the sales team to craft compelling success stories showcasing our product's features, leading to a 20% increase in new customer acquisition. This strategic storytelling effectively highlighted the product's unique selling points and drove market expansion.

➡️ Conducted in-depth analysis of data from 300 monthly active users, informing critical marketing and product strategies. This analysis contributed to doubling the average app engagement time and reducing the drop-off rate by 30%, significantly enhancing user experience and retention.

➡️ Developed a comprehensive trend analysis report using Qlik Sense and Excel, which played a pivotal role in boosting organic reach from 13% to 27% within two months. This report provided actionable insights for strategic content and marketing planning.

➡️ Engineered a bespoke application using Qlik Sense, Excel, and SQL for a client, enabling them to effectively prioritize their project roadmap. Adjustments to key metrics such as customer Lifetime Value (LTV), conversion rate, and organic traffic led to a 50% increase in user engagement with the project in the first month.

➡️ Worked closely with clients to understand their business needs and translated these requirements into automated reports in Qlik Sense. This initiative resulted in saving 16 hours of manual work each week, streamlining the reporting process and enhancing efficiency.

Business Intelligence Consultant

NTT DATA Business Solutions

➡️ Conducted thorough analyses and reviews of overall technical designs and processes, ensuring that end-to-end solutions were perfectly aligned with a deep understanding of business needs. This meticulous approach guaranteed that technological implementations effectively met strategic objectives.

➡️ Fostered close collaborations with various vendors, IT, and Business teams. This synergy was crucial in developing cohesive strategies and solutions, bridging the gap between technical and business perspectives.

➡️ Successfully developed and delivered over 100 Business Intelligence dashboards and reports. This substantial portfolio of BI tools played a key role in enhancing data-driven decision-making across the organization.

➡️ Tackled challenging analytical problems involving datasets exceeding 750 million records. Applied a range of analytical methods, including machine learning and statistical approaches, to derive insightful conclusions from vast data sets.

➡️ Offered expert consultancy in defining Key Performance Indicators (KPIs) using Business Intelligence tools such as Tableau, Power BI, SAP BO, and Python, coupled with statistical models. Prepared and delivered effective reports for senior management in four major companies across diverse industries, enhancing strategic oversight.

➡️ Built and implemented data visualizations using SQL and Tableau to efficiently track business KPIs. This innovation led to a significant reduction in manual reporting efforts, saving 12 hours weekly and streamlining the reporting process.

Junior Business Intelligence & Data Warehouse Consultant

The Istanbul Metropolitan Municipality

➡️ Spearheaded the creation of a web-based meeting reservation system, utilizing a blend of HTML, CSS, JavaScript, and MySQL. This project involved designing a user-friendly interface and robust backend, ensuring a seamless and efficient meeting scheduling experience. The application streamlined the reservation process, enhancing organizational efficiency and user engagement.

Software Engineer Intern

Profilo Payment System - E Data

➡️ Developed a dynamic web-based CV application using a combination of HTML, CSS, Bootstrap, and JQuery. This project focused on crafting a responsive and interactive online resume platform, showcasing professional skills and experiences in an engaging, digital format. The application effectively highlighted personal branding and professional capabilities, offering a modern approach to career presentation and networking.

As a highly skilled Data Engineer with over 4 years of experience, I have a passion for leveraging data to drive business decisions and improve processes. My background also includes experience as a BI Engineer and Data Analyst, giving me a well-rounded understanding of the data lifecycle.

I am a results-driven professional, constantly seeking new challenges and opportunities to expand my skill set. Throughout my career, I have successfully designed and implemented data pipelines, performed data analysis, and developed data models to support business needs. My strong technical skills combined with my strong analytical mindset, have allowed me to deliver valuable insights and solutions for my clients.

In addition to my technical abilities, I am also a strong communicator and collaborator. 
I have a proven track record of working closely with cross-functional teams and stakeholders to understand their needs and deliver solutions that meet their requirements. My experience working in fast-paced and dynamic environments has honed my ability to adapt to new challenges and deliver high-quality work under tight deadlines.

I am constantly seeking new ways to expand my knowledge and stay current with the latest trends and technologies in the field. Experimenting with and contributing to open-source projects in my free time, I am also a firm believer in the power of continuous learning.

I am not just about data, I'm also a passionate basketball fan, especially for Anadolu Efes. This love for sports translates into my professional life, where I appreciate teamwork, strategy, and the pursuit of excellence.

 👨🏻‍💻 Here are some of the technologies I've worked with:

• Programming Languages: Python, SQL
• Databases: Oracle, PostgreSQL, Microsoft SQL Server
• Cloud Platforms: AWS (Amazon Web Services), GCP (Google Cloud Platform), Azure
• Big Data Technologies: Apache Spark, Apache Airflow, Databricks, dbt
• Cloud Data Warehousing: Amazon Redshift, Google Big Query
• DevOps Tools: Docker
• Version Control: Git, Github
• Documentation: Confluence
• Project Management: Jira

I'm always excited about new opportunities and connecting with like-minded individuals. Feel free to reach out to me at 📬 mtahiraslan23@gmail.com or connect with me here on LinkedIn!

taplio

The Battle

Serdar Tafralı

Mehmet Tahir Aslan

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