Pelagia T Muyambiri
@pelagiatmuyambiri
Detail-oriented Data Analyst with a passion for actionable insights.
What I'm looking for
I am a highly motivated and ambitious Data Analyst with a strong foundation in data analysis, analytics, and visualization. My experience spans various roles where I have thrived in fast-paced environments, applying my problem-solving mindset to tackle challenges. I am proficient in Python, SQL, Microsoft Excel, Tableau, Power BI, and Looker Studio, which I utilize to deliver actionable insights that drive business growth.
Currently, I work as a D365 Data Validation Analyst at CIMAS, where I collect and integrate operational and customer data from over 70 vendors into CRM systems, ensuring high data quality and consistency. My previous internships have allowed me to develop business intelligence dashboards and conduct data cleaning and interpretation, further enhancing my analytical skills. I am naturally curious about data and have a keen interest in AI and Machine Learning, which I believe are essential for optimizing processes and supporting data-driven decision-making.
Experience
Work history, roles, and key accomplishments
D365 Data Validation Analyst
CIMAS
Feb 2024 - Present (1 year 10 months)
Collected and integrated operational and customer data from 70+ vendors into CRM systems, ensuring high data quality and consistency. Utilized Excel (PivotTables, VLOOKUP, text functions) to analyze over 6,000 rows, resolving data issues and showcasing strong Excel proficiency. Partnered with HR to design reports and optimize dashboards that track KPIs in operational efficiency and inventory trend
Data Analyst Intern
Mentorness
Apr 2024 - May 2024 (1 month)
Conducted data collection, cleaning, and interpretation using MySQL and Python. Developed business intelligence dashboards in Tableau and Power BI to visualize customer engagement and business performance. Built forecasting models and synthesized insights into coherent stories to support strategic decision-making.
Data Capturer
Parrogate
Sep 2023 - Dec 2023 (3 months)
Maintained and validated high-volume datasets (50,000+ rows) to ensure accuracy in reporting. Created visualizations with Tableau, Power BI, and Looker Studio to identify trends in sales and inventory. Conducted root cause analysis, improving data reliability and inventory tracking processes.
Data Scientist Intern
CICOSY Private Limited
Dec 2021 - Aug 2022 (8 months)
Structured and cleaned municipal parking system data for database performance enhancement. Automated visualizations using Python and Google Data Studio for digital analytics reporting. Collaborated in tracking guide creation and identifying AI-driven operational solutions in team settings.
Education
Degrees, certifications, and relevant coursework
National University of Science and Technology
Bachelor of Science Honors Degree, Informatics (Data Science Major)
Grade: First Class
Completed a Bachelor of Science Honors Degree in Informatics with a major in Data Science. Gained comprehensive knowledge in data analysis, visualization, and data cleaning techniques, culminating in a First Class pass.
Roosevelt Girls High School
A Level, High School
Grade: 3 A's 1 C (18 points)
Completed A-level studies at Roosevelt Girls High School. Achieved strong academic results, including 3 A's and 1 C, accumulating 18 points.
Rusununguko
O Level, High School
Grade: 5A’s 5B’s
Completed O-level studies at Rusununguko. Achieved strong academic results, including 5 A's and 5 B's.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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