Beschreibung

As a data analyst/scientist with over 5 years of experience, I have a strong foundation in data analysis, visualization, and problem-solving. I have a track record of using data-driven insights to inform business decisions and drive meaningful results. I am proficient in various data analysis tools and techniques, including SQL, Excel, Python and Machine learning.

In my current role, I lead the data analysis efforts for a large retail company, where I am responsible for gathering and analyzing data from various sources, creating reports and dashboards, forecasting and predictive modelling.

I am always seeking new opportunities to learn and grow as a data professional and I am excited to connect with others in the industry.

Sprachen

Litauisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Deutsch
Grundkenntnisse

Arbeitsortpräferenzen

Nur remote

Führt Projekte hauptsächlich remote aus

UAB "Kesko Senukai Lithuania"
Data Scientist
April 2021 - Heute (5 Jahre und 2 Monate)
Lithuania
• Web Scraping various sources
• Sales time series forecasting
• Customer segmentation
• Market Basket Analysis
• Non-contractual customer churn prediction.
• Qlik Sense dashboard creation.
• Excel report automation and creation.
• Various ad-hocs.
Microsoft Excel Web Scraping Python Data analysis
UAB "Kesko Senukai Lithuania"
Business Data Analyst
August 2020 - April 2021 (8 Monate)
Lithuania
Working in Finance department:
• Gathering business requirement and communicating them to the IT.
• Building dashboards and data visualisations with Qlik Sense.
• Data government in BI system.
• Making sure that KPIs are calculated and tracked correctly through out BI system.
• Delivering business insights.
Festo
Data Scientist
April 2019 - August 2020 (1 Jahr und 4 Monate)
Lithuania
Working in Sales Analyst department: Use of Machine Learning and advanced analytics for:
• Customer Churn predictions using Python and KNIME
• Customer identification/mapping/matching/duplicate checking using Python, NLP and Hadoop (Hive)
• Customer location coordinate analysis using KNIME with Google API
• Existing Customer and new unkown Customer Sales Potential prediction using Tibco Spotfire including internal + external data sources.
• Country's and Industry Segment's sales trend forecasting using KNIME with internal and various external data sources.
• Keeping CRM up-to-date with predicted customer potential
• Various other ad-hocs and projects.