I am a highly experienced Senior Data Analyst with 10 years of expertise, passionate about transforming data into strategic insights for logistics, e-commerce, and healthcare industries. Proficient in Power BI, Tableau, DBT, Python, R, SQL, and NoSQL, I deliver end-to-end analytics solutions. I thrive on daily English communication with international clients, ensuring their needs are met through tailored dashboards and reports. My leadership in mentoring teams and driving data innovation has consistently delivered impactful results.

Programming Languages: Python, SQL, R

Skills:

• Data Visualization: Power BI, Tableau

• Databases: MySQL, PostgreSQL, MongoDB, Cassandra

• Data Processing: Pandas, Dask, DBT, Scikit-learn

• Cloud Platforms: AWS (Redshift, S3), Azure, Google Cloud Platform

• Others: Data Modeling, Predictive Analytics, ETL Development, Client Collaboration

Tools: Excel, Jupyter Notebook, Visual Studio Code, Git, JIRA, Docker.

E-commerce Data Analytics Project - United Kingdom  

Senior Data Analyst, Mar 2023 - Present  

Project description 

• Led a comprehensive analytics overhaul for an e-commerce platform to optimize sales and customer retention.

Highlights

• Invited onsite by U.K. client to lead a dashboard optimization workshop, March 2024.

• Recognized as Top Performing Analyst of the Quarter, Q1 2024, for exceptional client feedback

Responsibilities 

• Designed interactive Power BI and Tableau dashboards to track sales KPIs and customer journeys for U.K. clients.

• Developed DBT models to transform raw data from MongoDB into actionable insights, enhancing reporting accuracy.

• Conducted daily English calls with international stakeholders to refine requirements and present findings.

• Built advanced Python scripts (Pandas, Scikit-learn) for customer segmentation and churn prediction.

• Collaborated with engineering teams to integrate Azure for scalable data pipelines.

• Delivered strategic recommendations, increasing client revenue by 15%.

Technologies 

• Power BI, Tableau, Python, SQL, MongoDB, DBT, Azure, Pandas, Scikit-learn

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Logistics Data Analytics Project - Germany

Senior Data Analyst, Jun 2019 – Feb 2023

Project description 

• Oversaw data analytics for a leading German logistics firm to improve supply chain efficiency, delivery forecasting, and operational transparency across 10+ European distribution centers. Focused on reducing delivery delays and optimizing fleet operations through advanced analytics and real-time data monitoring, while ensuring alignment with client expectations through frequent collaboration.  

Highlights

• Honored as Employee of the Year 2022 for outstanding analytics contributions.

• Invited onsite by German client to present delivery optimization strategy, October 2021.

Responsibilities 

• Created Tableau visualizations to monitor delivery performance, supply chain bottlenecks, and fleet utilization across multiple regions.

• Used R and DBT to develop predictive models for delivery time optimization, leveraging PostgreSQL data to forecast delays with 85% accuracy.

• Engaged in daily English discussions with German clients to align analytics with business goals, addressing their operational pain points.

• Wrote complex SQL and NoSQL queries to aggregate and analyze data from Cassandra databases, integrating real-time shipment updates.

• Mentored a team of 3 analysts on data modeling, visualization techniques, and best practices for client reporting.

• Automated ETL processes with Python, reducing data processing time by 25% and enabling faster decision-making.

• Conducted root cause analysis on delivery delays, presenting actionable insights to client leadership to improve on-time delivery rates by 12%.

• Designed custom Tableau dashboards for real-time monitoring of logistics KPIs, enabling the client to make proactive adjustments to operations.

Technologies 

• Tableau, R, Python, SQL, PostgreSQL, Cassandra, DBT, AWS S3

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Healthcare Data Analytics Project - United States

Data Analyst, Apr 2016 – May 2019

Project description 

• Supported a healthcare provider with patient data analysis and operational reporting.  

Responsibilities

• Built Power BI dashboards to visualize patient admission trends.

• Developed SQL scripts for data extraction and cleaning.

• Presented insights to U.S. teams to improve resource allocation.

Technologies

• Power BI, SQL, MySQL

• Microsoft Certified: Data Analyst Associate (Power BI), 2018

• Tableau Certified Data Analyst, 2020

• English: Advanced - IELTS 7.5