Clement Nshimiyimana
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Clement Nshimiyimana Email & Phone Number

Data Scientist at Bank of Kigali Plc
Location: Rwanda 5 work roles 3 schools
1 work email found @bk.rw LinkedIn matched
✓ Verified Jul 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email

Work email c****@bk.rw
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Current company
Bank of Kigali Plc
Role
Data Scientist
Location
Rwanda
Company size
431 employees

Who is Clement Nshimiyimana? Overview

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Quick answer

Clement Nshimiyimana is listed as Data Scientist at Bank of Kigali Plc, a with 431 employees, based in Rwanda. AeroLeads shows a work email signal at bk.rw and a matched LinkedIn profile for Clement Nshimiyimana.

Clement Nshimiyimana previously worked as Data Scientist at I&M Bank (Rwanda) Plc and M&E fellow at Health Poverty Action. Clement Nshimiyimana holds Master'S Degree(Sponsored By Google And Facebook), Machine Intelligence from African Institute For Mathematical Sciences(Aims-Senegal).

Company email context

Email format at Bank of Kigali Plc

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{first_initial}{last}@bk.rw
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AeroLeads found 1 current-domain work email signal for Clement Nshimiyimana. Compare company email patterns before reaching out.

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Profile bio

About Clement Nshimiyimana

Clement Nshimiyimana is a Data Scientist at Bank of Kigali Plc. He possess expertise in support vector machine, machine learning, biological data analysis, programming languages, statistical data analysis and 1 more skills.

Listed skills include Support Vector Machine, Machine Learning, Biological Data Analysis, Programming Languages, and 2 others.

Current workplace

Clement Nshimiyimana's current company

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Bank of Kigali Plc
Bank Of Kigali Plc
Data Scientist
Rwanda
Website
bk.rw
Employees
431
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5 roles

Clement Nshimiyimana work experience

A career timeline built from the work history available for this profile.

Data Scientist

I&M Bank (Rwanda) Plc

Kigali, Kigali City, Rwanda

- Data cleaning- Conduct data analysis for business and product development of the bank. -Design and develop data dashboards, which facilitate the bank’s managers to get insights from data generated from different systems of the bank and be able to identify business trends on a daily basis.

May 2019 - Jun 2020

M&E Fellow

Health Poverty Action

Rwanda

-Monitoring and evaluation of a USAID funded project called Huguka Dukore Akazi Kanoze(HDAK). -Designing monitoring tools to track project activities on a daily basis.-Data Collection and analysis in relation to project activities.-Reporting on project milestone.

Nov 2018 - Apr 2019

Intern In Planning Monitoring And Evaluation

Ministry Of Trade And Industry-Rwanda(Minicom)

Kigali-Rwanda

-Assist the ministry statistician to collect and analyse data, and to update the Management Information System(MIS).

Jan 2016 - Jun 2016
Team & coworkers

Colleagues at Bank of Kigali Plc

Other employees you can reach at bk.rw. View company contacts for 431 employees →

TR Tuyishime Regis Tuyishime Regis Colleague at Bank Of Kigali PlcRwanda View → KI Kabandana Ivan Kabandana Ivan Colleague at Bank Of Kigali PlcRwanda View → GN Gerard Nyangezi Fcca Gerard Nyangezi Fcca Colleague at Bank Of Kigali PlcKenya View → DM Dieudonne Murenge Dieudonne Murenge Colleague at Bank Of Kigali PlcKicukiro District, Kigali City, Rwanda View → KJ Kayitesi Jane Kayitesi Jane Colleague at Bank Of Kigali PlcRwanda View → NA Nsengiyumva Andre Nsengiyumva Andre Colleague at Bank Of Kigali PlcRwanda View → MC Munezero Christine Munezero Christine Colleague at Bank Of Kigali PlcRwanda View → CM Christine Murekatete Christine Murekatete Colleague at Bank Of Kigali PlcRwanda View → MD Mukayiranga Dosithe Mba Mukayiranga Dosithe Mba Colleague at Bank Of Kigali PlcRwanda View → JM Janvier Mfashingabo Janvier Mfashingabo Colleague at Bank Of Kigali PlcRwanda View →
3 education records

Clement Nshimiyimana education

Master'S Degree(Sponsored By Google And Facebook), Machine Intelligence

African Institute For Mathematical Sciences(Aims-Senegal)

Activities and Societies: AI & Data science. Interest: Data science applied in Finance and Economics, Deep learning, Computer Vision.

Master'S Degree, Mathematical Sciences

African Institute For Mathematical Sciences (Aims-Rwanda)

Activities and Societies: Mathematical Sciences Research masters in Mathematical Sciences. Interest: Data science and Big data

Bachelor'S Degree, Applied Mathematics

University Of Rwanda

I graduated with Upper second Division(Honors). I was interested in Optimization and Operation Research.

FAQ

Frequently asked questions about Clement Nshimiyimana

Quick answers generated from the profile data available on this page.

What company does Clement Nshimiyimana work for?

Clement Nshimiyimana works for Bank of Kigali Plc.

What is Clement Nshimiyimana's role at Bank of Kigali Plc?

Clement Nshimiyimana is listed as Data Scientist at Bank of Kigali Plc.

What is Clement Nshimiyimana's email address?

AeroLeads has found 1 work email signal at @bk.rw for Clement Nshimiyimana at Bank of Kigali Plc.

Where is Clement Nshimiyimana based?

Clement Nshimiyimana is based in Rwanda while working with Bank of Kigali Plc.

What companies has Clement Nshimiyimana worked for?

Clement Nshimiyimana has worked for Bank Of Kigali Plc, I&M Bank (Rwanda) Plc, Health Poverty Action, and Ministry Of Trade And Industry-Rwanda(Minicom).

Who are Clement Nshimiyimana's colleagues at Bank of Kigali Plc?

Clement Nshimiyimana's colleagues at Bank of Kigali Plc include Tuyishime Regis, Kabandana Ivan, Gerard Nyangezi Fcca, Dieudonne Murenge, and Kayitesi Jane.

How can I contact Clement Nshimiyimana?

You can use AeroLeads to view verified contact signals for Clement Nshimiyimana at Bank of Kigali Plc, including work email, phone, and LinkedIn data when available.

What schools did Clement Nshimiyimana attend?

Clement Nshimiyimana holds Master'S Degree(Sponsored By Google And Facebook), Machine Intelligence from African Institute For Mathematical Sciences(Aims-Senegal).

What skills is Clement Nshimiyimana known for?

Clement Nshimiyimana is listed with skills including Support Vector Machine, Machine Learning, Biological Data Analysis, Programming Languages, Statistical Data Analysis, and Big Data Analytics.

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