BUYANZI BLESSING
Data ScienceAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Science with 1+ years in data analysis and business reporting.
Economics & Statistics graduate (BSc, Kenyatta University, completed June 2026, awaiting graduation) with hands-on experience in data analysis, business reporting, and marketing support. Proficient in Microsoft Excel, SQL, Power BI, Stata, and Google Data Analytics tools, with Python (pandas) currently in progress. Holds a DataCamp Data Analyst Associate certification and a Women in Big Data (WiBD) scholarship. Experienced in collecting, cleaning, and interpreting data to support business decisions, including marketing performance, sales trends, and customer insights. Demonstrates strong analytical thinking, attention to detail, and clear communication skills developed through academic, professional, and leadership roles.
Kenyatta University
BSc. Economics & Statistics · Economics & Statistics
August 1, 2022 – June 30, 2026
Drys Girls High School
Kenya Certificate of Secondary Education
June 1, 2018 – May 31, 2022
Litiik Academy
Kenya Certificate of Primary Education
August 1, 2010 – June 30, 2017
OJIS Fashion House
Customer Relations & Data Officer
May 1, 2025 – August 31, 2025
India
Maclife Stores
Tele-Sales Agent
September 1, 2023 – August 31, 2024
India
Kitale Baptist High School
Volunteer Mathematics & Business Studies Teacher
May 1, 2022 – August 31, 2022
India
Women in Big Data (WiBD) Scholarship Recipient
WiBD
January 1, 2026 – Present
Data Analyst Associate Certificate
DataCamp
January 1, 2026 – Present
Take the Lead Programme
Cornell University
March 1, 2024 – Present
Economics Students' Association Programme
Kenyatta University
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic background in Economics & Statistics, coupled with certifications and a scholarship in Big Data, aligns well with a data-driven culture. Their diverse experiences, including customer relations and teaching, suggest adaptability and a willingness to engage in various roles. The 'Take the Lead Programme' and 'Economics Students' Association Programme' indicate an interest in leadership and community involvement, which can contribute positively to team dynamics and cultural fit.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, attention to detail, and clear communication skills. Their experience in customer relations and sales indicates good interpersonal skills and the ability to work in a fast-paced environment. The volunteer teaching role suggests leadership and initiative. These soft skills are valuable for collaborative data science projects and communicating findings to stakeholders.