Position: Data Analyst
Category: Data Science
English level: upper
Years of experience: 1.5


Data Scientist who strives to pose and answer questions with quantitative-driven insights.Has experience working with data mining tools such as Python, SPSS, R, Tableau and SQL Proven knowledge in expanding existing data collection and data delivery platforms.

Sales Dashboards for Digital Marketing Company
Illustrated map shows total Sales by Region for the entire company history. 
Illustrated Treemap of Sales by Region and Subcategories Time-Series of Sales growth by quarter and Customer Type Used Complex Design Tools, titles, filters, dashboard actions for getting better view Python McKinsey(2022)
Participant of Pro hack : International Data science Hackathon by McKinsey & Company .I was always on the lookout for machine learning projects and competitions; The McKinsey hackathon gave me an opportunity to compete for a new job, which was a nice bonus. Plus, I was curious about the type of problems McKinsey would present. It was great experience to compete with professionals all over the world and learn from different solutions.

Performance Analysis with Tableau(2022)
NLP with R(Keras) (2022)
I am provided with data containing public comments from social platform .I have been asked to classify toxicity level of comments. I used tokenization method to prepare comments for models. Build my model using Google BERT Algorithm and Keras library.