I am a data analyst with hands-on experience in exploratory data analysis, dashboard development, and ETL-supported reporting within international, cross-functional teams. I am skilled in SQL, Excel, Python, Power BI, and Tableau, transforming raw data into actionable business insights. I have a proven track record of improving data quality, automating reporting processes, and supporting strategic decision-making. I am a detail-orientated analyst with strong communication skills and a structured, analytical approach to problem-solving.

Modinat Omolara Buhari

I am a data analyst with hands-on experience in exploratory data analysis, dashboard development, and ETL-supported reporting within international, cross-functional teams. I am skilled in SQL, Excel, Python, Power BI, and Tableau, transforming raw data into actionable business insights. I have a proven track record of improving data quality, automating reporting processes, and supporting strategic decision-making. I am a detail-orientated analyst with strong communication skills and a structured, analytical approach to problem-solving.

Available to hire

I am a data analyst with hands-on experience in exploratory data analysis, dashboard development, and ETL-supported reporting within international, cross-functional teams. I am skilled in SQL, Excel, Python, Power BI, and Tableau, transforming raw data into actionable business insights. I have a proven track record of improving data quality, automating reporting processes, and supporting strategic decision-making. I am a detail-orientated analyst with strong communication skills and a structured, analytical approach to problem-solving.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Lithuanian
Beginner

Work Experience

Data Analytics Intern at Uptrail UK
October 1, 2024 - November 1, 2024
Utilized Python (Pandas, NumPy) to clean and analyze large datasets; conducted EDA with Matplotlib to identify trends; designed Tableau dashboards to visualize KPIs; built automated data workflows to reduce manual reporting.
Data Analyst at Amdari Inc.
April 1, 2025 - Present
Conducted exploratory data analysis on client datasets to identify trends and insights, contributing to a 30% improvement in data-driven decision-making. Applied statistical techniques and developed clear visualizations, reducing manual analysis time by 25% and improving report clarity. Supported identification of business challenges and delivery of tailored analytical solutions, helping streamline processes by up to 40%. Built and maintained interactive dashboards using Excel, SQL, Power BI, and Tableau, increasing end-user engagement by 50%. Performed data cleaning and transformation to improve data quality, reducing inconsistencies by 35% and preparing analysis-ready datasets. Presented insights through reports and presentations to stakeholders, influencing key decisions in 90% of projects.
Data Analytics Trainee at 10Alytics
April 1, 2025 - September 1, 2025
Cleaned, transformed, and analyzed datasets using Excel and SQL, ensuring high data quality. Developed dashboards and automated reports in Power BI and Tableau for performance monitoring. Supported KPI tracking, trend analysis, and business reporting for real-world case studies. Worked with Microsoft Fabric to integrate multiple data sources and streamline workflows.

Education

Master Data Analytics (MDA) at 10Alytics
January 1, 2025 - December 31, 2025
Data Analytics at Up trail Ltd.
January 1, 2025 - December 31, 2025
BSc Nursing at Klaipėda University
January 1, 2015 - January 1, 2020

Qualifications

Master Data Analytics Certificate (MDA) – 10Alytics
January 1, 2025 - January 1, 2025

Industry Experience

Healthcare, Education, Software & Internet, Life Sciences, Professional Services, Media & Entertainment
    uniE621 BrightCart Online Retail Performance Dashboard
    This project analyses the online retail performance of BrightCart, a fast-growing e-commerce company, using real-world business metrics. The goal was to uncover traffic patterns, conversion performance, and underperforming channels to support data-driven decision-making. Using Microsoft Excel, the data was cleaned, structured, and explored to ensure accuracy. Tableau was then used to build an interactive dashboard that visualizes key performance indicators (KPIs) such as peak traffic periods, conversion rates, traffic sources, device performance, and country-level insights. Key Insights: 1) Monday is the peak traffic day, with the highest activity occurring around 7 PM (19:00). 2) Organic Search and Direct traffic drive the strongest conversion rates. 3) Desktop users convert better than Mobile and Tablet users. 4) Paid Ads and Social Media channels show lower conversion performance, indicating optimization opportunities. Interactive Tableau Dashboard: https://www.twine.net/signin Business Impact: The dashboard helps stakeholders quickly identify high-performing channels and peak periods, optimize marketing spend, and improve conversion strategies across devices and regions. Tools Used: Microsoft Excel (data cleaning & preparation) Tableau (data analysis & interactive visualisation) dataanalytics dataanalysis tableau tableaudashboard businessintelligence excel ecommerceanalytics