Position: Data Analyst
Category: Data Analyst
English level: pre
Years of experience: 1

Data Scinetist - Data Science Bootcamp (offline)
SQL (Intermediate) Certificate - HackerRank (online)
SQL (Basic) Certificate - HackerRank (online)
Python (Basic) Certificate - HackerRank (online)
Data Analytics with Power BI - QSS Analytics (offline)
Data Analytics with Excel - QSS Analytics (offline)
Performance Analysis (2021)
    Prepared Weekly KPI performance Analysis dashboards: KPI list as Parameter, Weekly time plot of each KPI , List top 5 tariffs for each KPI and growth rate for each of them in the last week, Daily performance of each KPI in the last week, Total amount of KPI in the last week, KPI growth in the last week.
    Prepared Daily Revenue performance Analysis dashboard by including: Total revenue, Revenue proportion of each tariff, Compare tariffs on daily basis,Visualize cluster of tariffs for the voice and data revenue. Add daily timeline of voice and data revenue for that tariff as tool tip. Portion of data revenue
in the total revenue for each tariff.          
Default risk of Subscribers (2021)
Using IBM SPSS Modeler two different (statistical and artificialintelligence algorithms) the following tasks are achieved by using: Business Understanding, Data Understanding, Data Manipulation, Visulation, Summary Analytics, Modeling, Model Evaluation and Deployment.

        Image classification with Python (Keras) (2021)
Given Image Classification dataset consisted of 6 classes, I am asked to build model that can correctly classify images. I applied method called transfer learning and tried three neural networks architectures: VGG16,Resnet50 and Inception-v3 Build a neural model that can classify with 92% accuracy.

        Telecommunication Babysitting Business Case with
                              SPSS,Tableau (2021)
Using appropriate analysis to explore which variable affect churn most and detect customer clusters with highest churn rate. Run campaign to prevent churn and retain subscribers.