Highlights:Analyzed data to identify trends, generating automated reports that supported executive decision-making. Developed 15+ interactive dashboards using Power BI and Excel, improving user satisfaction by 20%. Executed ETL processes using SQL queries to uncover trends and enhance operations. Built predictive models for customer and product forecasting, improving planning accuracy. Reduced monthly report processing time by 30% through automation and tool enhancements. Collaborated on cohort analysis, identifying pricing opportunities that boosted revenue by $40,000. Conducted statistical analyses and created dashboards for client insights using Python, Power BI, and Excel.

Skills:

Goal:I aspire to become a leading expert in data science and analytics, specializing in leveraging advanced machine learning models and predictive analytics to solve complex business challenges. I aim to drive innovation and provide strategic insights that enable organizations to stay competitive and make data-driven decisions. I aim to continuously evolve by staying at the forefront of emerging technologies such as artificial intelligence, deep learning, and big data analytics.

Certification:MASTER OF DATA SCIENCE

Honor:MSc Applied Data Science for engineering

Data Scientist 10/2022 - current
10Alytics, Manchester UK, England United Kingdom
Industry: data and strategy Tech
Result-driven Data Scientist and Analyst with over 3 years of experience in analyzing and interpreting complex data to drive strategic business decisions. Expertise in collaborating with cross-functional teams to deliver data models into production. Strong problem-solving, analytical thinking, and team leadership skills. Proven ability in data visualization, predictive analytics, and machine learning. Eager to contribute to organizational goals by implementing innovative business solutions.
Analyzed intelligence data to identify trends and automate reports, aiding executive decision-making. • Developed interactive and clear 15+ dashboards on Power BI and excel using pivot tables, pivot charts, COUNTIF, VLOOKUP, and Index Match, resulting in a 20% improved user satisfaction rating. • Executed ETL processes on diverse data sources, leveraging SQL queries to uncover trends and drive operational enhancements. • Developed predictive models for customer and product forecasting, enhancing future planning accuracy. • Conducted marketing forecast research and reduced processing time for monthly reports by 30% with four improved reporting tools and automation. • Utilized Python, Power BI, Excel, and SQL for data cleaning, visualization, and solution recommendation, addressing business challenges. • Collaborated with product manager to perform a cohort analysis that identified an opportunity to reduce pricing by 15% for a segment of users to boost revenue by $40,000 • Collaborated with senior data scientists and analysts on complex problem-solving initiatives. • Spearheaded IT integration phases by proposing key metrics, ensuring model performance in acceptance testing and production. • Streamlined monthly reporting processes by 30% through the implementation of four enhanced reporting tools and automation. • Conducted statistical analyses and modeling using Python, Power BI, and Excel to derive actionable insights. • Created interactive dashboards in Excel, facilitating client understanding and decision-making. • Translated business requirements into SQL-driven insights, transforming data into report-ready formats. • Designed data dashboards, enforced database consistency, and ensured information integrity through rigorous reviews--

Glasgow Caledonian University 09/2022 - 01/2024
Glasgow, Lanarkshire, United Kingdom
Degree: Master's Degree
Major:Applied Data Science
MSc Applied Data Science in ENGINEERING

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