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Benita Nyampundu

General Info

Professional Track

  • Science

Country

Rwanda

Areas of Expertise

  1. Data Mining and Analytics
  2. Information Systems Management
  3. Educational Technology and E-Learning

Professional Interests

  1. Predictive data for trends in disaster planning and prevention
  2. Reporting systems with interactive dashboards and infographics
  3. Digital content production for learning and teaching

Age

41

Evidence-based decision-making is the cornerstone of sustainable development.

Benita Nyampundu

The Top Three Things I Would Like to Learn or Experience During my Mentorship

  1. Acquire knowledge and skills in advanced programing languages for data analysis
  2. Learn best practices to elaborate an efficient forecasting model
  3. Build communication skills in presenting statistical results to non-statistician audiences

Mentorship Characteristic

  • Visit an office or attend a site-visit
  • Participate in a skills-building course, either provided by my mentor’s company or identify a free resource online
  • Identify workshops or certificate programs to further my learning after the program has ended
  • Focus on leadership skills building

Ideal Company Type

My ideal company is a research-oriented company which deals with big data, and a team of data analysts who run a series of queries to obtain meaningful analysis, discuss on the findings and prepare a comprehensive report (understandable for non-scientists) to guide decisions for sustainable development. I would love to translate statistical results into policy action that can really transform the living conditions of people in need.

Programming Languages

  • Python
  • R
  • SQL

Additional Technical Skills

Stata

What are three adjectives that best describe you in the work place?

  1. Determined
  2. Proactive
  3. Versatile

What impact will your mentorship have on your career and professional path?

Since the TechWomen program is a unique platform to connect professional women who are in STEM, it will be a good opportunity for me to learn new techniques, approaches and technology in the area of data science; to establish connections with other women who are in STEM and to exchange knowledge and elaborate a strong model which brings solutions to the challenges we are encountering. The gained skills will help me to develop my career as a person but also to help young girls who want to join STEM related subjects.

After participating in the TechWomen program, how will you leverage your mentorship experience to make an impact in your home country?

The TechWomen program will help me to learn from TechWomen members, to enlarge my perspective and to come back with more innovative ideas. In my return, I will work towards encouraging women, especially young girls, to join the STEM stream. I will make use of my connection to help as many women as possible to become self-confident and resilient for a bright future. I will also join the TechWomen Rwanda alumnae group and work together with them to reach out to young girls and implement STEM awareness campaigns in high schools in Rwanda.

Work History

Years of Full-time Work Experience

12

Primary Professional Focus

  • IT systems and/or data analysis
  • Scientist and researcher
  • Technical training

Current/Most Recent Job

  • Title and Company: Education Management Information System (EMIS) and Education Statistics Specialist, Ministry of Education
  • Direct Reports: 0
  • Type: Full-time
  • Location: Kigali, Rwanda
  • Dates: September 1, 2010 –
  • Responsibilities:

    Review the data collection tools, coordinate data collection activities, data analysis, publication and dissemination; prepare statistical reports; organize training on education statistics focusing on data use for efficient decision making, calculation and meaning of indicators for data providers; coordinate and monitor the development of the Education Management Information System to ensure that the designed system responds to the need of users and follows national and international methodology; provide evidence-based recommendations for the development of policy and strategic plans and on the progress of national, regional and global commitments like Sustainable Development Goals (SDGs) and Continental Education Strategy for Africa (CESA)

Job #2

  • Title and Company: Statistician, University of Rwanda, College of Agriculture and Animal Husbandry
  • Type: Full-time
  • Location: Musanze, Rwanda
  • Dates: September 1, 2009 – September 1, 2010
  • Responsibilities:

    Collected, maintained, and disseminated reliable data on the institution; managed staff training in terms of training needs and duration; developed reporting templates and assisted in the development of appropriate software programs for data reporting and website posting; prepared the periodical report and statistical bulletins and documented useful strategies for the planning purposes

Education History


Institution #1

  • Institution: Université de Namur – Université Catholique de Louvain
  • Degree Awarded: Master's
  • Major: Analytics and Research Analysis
  • Minor: International Comparable Data
  • Location: Belgium
  • Completion Date: September 1, 2016

Institution #2

  • Institution: Institut d’Enseignement Supérieur de Ruhengeri
  • Degree Awarded: Bachelor's
  • Major: Statistics - Mathematics
  • Minor: Physics
  • Location: Rwanda
  • Completion Date: April 1, 2008

Participants

  • Eligibility and Application
  • The Experience
  • Award Details
  • 2022 Emerging Leader Profiles

Mentors

  • Why Mentor With TechWomen?
  • Professional Mentor Overview
  • Cultural Mentor Overview
  • Impact Coach Overview
  • TechWomen Mentor Application

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