Aydınlı Grup

Data Analytics Assitant Specialist

Miuul

Miuul Data Science Bootcamp is an online, live and mentor-supported Data Scientist training program. It provides Data Science training by doing more than 10 real-life projects. I am currently working as an assistant mentor in Miuul, my duties and responsibilities are as follows:

• Supporting courses that will provide participants with competencies in Data Science such as code reviews, programming languages (Python and SQL), data recognition and understanding, data visualization, customer analytics and segmentation, measurement problems (A/B tests), recommendation systems, feature engineering, supervised-unsupervised learning model selection and hyperparameter tuning, model evaluation etc.
• Providing training and support on data literacy
• Teaching how to analyze data science cases with real-life data
• Supporting the acquisition of the analytical perspective required in Advanced Data Science and Machine Learning
• Provide training in data science and machine learning, giving participants practical skills and industry experience on the path to a career in data science
• Leading complex real-life projects and project implementation with students
• Creating, monitoring and evaluating the assignments given to students within the scope of Data Science and Machine Learning
• Organizing weekly online meetings with students and mentors to track student progress

Data Science Teaching Assistant

I was a participant of Miuul Data Science and Machine Learning bootcamp. Miuul Data Science bootcamp is an online, live and mentor-supported Data Scientist training program. It provides Data Science training by doing more than 10 real-life projects. The competencies I gained during this bootcamp are as follows:

• PyCharm, Virtual Environments, Dependency Management
• Data structures, Functions, Conditions, Loops, Comprehensions
• NumPy, Pandas, EDA, Data Visualization
• CRM Analytics
• KPI- Cohort Analysis
• Customer Segmentation with RFM,
• CLTV Calculation & Prediction
• Recommendation Systems
• Association Rule Learning with Apriori Algorithm
• Content Based, Product Based, and Collaborative Recommendation Systems
• Mini MsSQL Bootcamp (14 hours total)
• BG-NBD: Expected Sales Forecasting
• Gamma-Gamma: Expected Average Profit
• Diabetes Prediction with Machine Learning
• Corporate Customer Abandonment Modeling
• Credit Risk Modeling

Data Science & Machine Learning Bootcamp Participant

DERIMOD

Derimod, which has 81 stores across Turkey, is a retail chain company founded in 1974 to combine leather with fashion.

• Collecting, organizing, updating, and storing customer profiles, contact information, purchase history, and other relevant data
• Analyzing customer data to understand sales trends, customer behaviours, and preferences
• Optimizing marketing strategies and setting customer targets
• Managing marketing campaigns through the Microsoft Dynamics CRM system, tracking campaign success with various KPIs, and making improvements
• Ensuring accurate and up-to-date data flow on Microsoft Dynamics CRM and SQL
• Generating reports based on A/B tests, cart analyses, and various KPIs
• Creating and analyzing campaigns tailored to segments and customer KPIs
• Developing analytical solutions for customer interaction problems
• Enhancing communication strategies with customers through SMS

CRM Analyst

SoftITo Yazılım-Bilişim Akademisi

I was a SoftITo Data Analytics Bootcamp participant. SoftITo Data Analytics bootcamp is a face-to-face Data Analytics training program. I gained competence in Data Analytics thanks to the trainings I was provided by teachers working as academicians at universities. The competencies I gained during this bootcamp process are as follows:

• SQL querying using SAS
• Making machine learning predictions with Pyhton using Jupyter Notebook
• Learning DevOps and Agile methodology
• Learning HTML, CSS, JavaScript
• Training on data visualization tools, search and sorting algorithms, and the basics of cybersecurity
• Playing an active role in the courses and giving lectures on filling the empty observations in the data set with prediction algorithms

**I completed the program with the graduation project on multiclass sentiment analysis prediction using natural language processing and finished the program with the 1st place.

Data Analytics Bootcamp Participant

I worked as a Supply Lieutenant at Naval Petty Officer Vocational School / Student Affairs Unit

• Classification of students according to their abilities
• Processing the exam, success and course attendance data of the students, extracting the statistical data
• Preparing course schedules of all teachers' by using the ASC program
• Course and attendance tracking of students and graduate students
• Preparing and submitting transcripts of graduating students
• Classification and archiving of transactions according to their periods
• Giving vocational training seminars to non-commissioned officers

Lieutenant

English Ninjas

English Ninjas is a London based, online platform which brings together native English speaking tutors with students from all over the world to learn/improve their language skills by practicing 24/7. At this company, I undertake the following duties:

• Providing 24/7 live support to users
• Resolving technical issues that arise during lecture sessions
• Monitoring the continuity of tutor and student participation in Turkey and Thailand
• Collaborating with the marketing team in the process of finding new users on social media
• Transferring feedback to relevant departments during the customer experience development process

Customer Relations Specialist

As a graduate of Statistics, I participated in trainings and bootcamps to expertise in Data Science and Machine Learning and acquired skills that will give me competence in this field. I am highly proficient in Python and SQL, I am interested in open source projects and create projects on Github & Kaggle. I am ready to take on new challenges that will give me the competency to build my Data Science career.

For the time being in Derimod, I undertake analytical responsibilities in the field of customer experience, where I use tools such as Power BI, SQL, Python, etc. and make data-driven decisions. I continue to improve myself by contributing to this sector.

At the same time, I continue to work as a mentor at Miuul, where I help participants develop more than 10 data science and artificial intelligence projects with real-life data. By taking part in teamwork, I support them to make decisions with a researcher's perspective in project development processes and prepare them for the industry.

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