Patrick Harerimana Email and Phone Number

Easy Visa ProjectUsed ensemble techniques predictive modelling, like: Bagging,Random Forest, Ada Boost, Gradient Boosting, Stacking, XG Boost.

Product Segmentation using K-Means & Hierarchical Clustering- case study  Nike and AdidasThe two clustering techniques were used for extracting insights from the data of men and women shoes, and grouping products together to identify similarities and differences between the product range of these renowned brands.

Re Cell ProjectBuilding a linear regression model to predict the price of a used phone/tablet and identify factors that significantly influence it. This model would allow to develop a dynamic pricing strategy for used and refurbished devices.

Experimentation/ A|B TestingCollaborated with experiment team which is responsible for roll-out new features in the app to analyse user’s sentiment and up take towards new product features that were planned to roll out in future

Bank Customer Churn AnalysisPredicting factors leading to customers leaving the bank using ANN models.A Certified Python programmer and seasoned Data Scientist using Data Mining (Machine Learning and Neural Network) algorithms and Statistical Modeling to extract relationships among data variables and predict high-probability outcomes in various knowledge domains. Proficient in Machine and Deep Learning frameworks like Tensorflow, Keras, and Pytorch. Skilled at Exploratory Data Analysis using pandas and matplotlib in python and A strong programming background Python and R; statistical analysis; and Machine Learning. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills. Ability to interact with people at all levels of the organization.

Individual Consultant to conduct Rapid Market Appraisal for Small Ruminant Value Chains(Goat and Sheep).

Consultancy to Conduct cost Analysis study of the MNSSPI Project activities Implementation in the 8 Cells of Intervention”.NGARA AND GASHIHA IN NYAMAGABE DISTRICT, RUBAZO AND TYAZO IN KARONGI DISTRICT, MUCACA AND GACUNDURA IN BURERA DISTRICT AND BUTIRUKA AND NYAGISOZI IN GATSIBO DISTRICT.This assignment has the following Specific Objectives i. Analyze all the costs associated with the roll out of the MNSSPI interventions per sector/cell;ii. Propose financial scenario for replication of MNSSPI interventions, at an affordable cost for the Government of Rwanda, in new sectors/cells focusing on the financing resources required for: 1/ the initial roll-out of interventions, and 2/ the sustainability of interventions.

Team leader.o (1) (Rwanda) Family Strengthening Programme/ BMZ funded project to empower families and communities and prevent family separation in Gicumbi Provinces by SOS Village Children Rwanda.-Technical Proposal Preparation-Inception Report Preparation and questionnaire design-Entering questionnaire into KOBO-Data Cleaning -Data Analysis and Report Writing

Collect data and produce the final Report on the evaluation of impact of covid-19 on cooperatives/MSMEs in creating off farm rwandan activities (Core) Project funded by SIDA

Consultant to Develop Good Practice and Guide for the Community Development Network (CDNs).

Researcher and Consultant on the evaluation report on the impact of Community Development Networks (CDNs).The CDNs stand to protect and care the children from family separation and find out alternative care through Foster care.

Individual Consultant hired by Centre for Integrated Development and Research Action (CIDRA ltd) to conduct the Review of School Health Policy and Strategic Plan

Individual consultant in the study entitled Market Assessment at Gashora ETM

Title of the study “Gender Equality Status in Rwanda’’

The study on Food price transmission analysis in Rwanda study Food Price Trends Project, funded by The Association for Strengthening Agricultural Research in Eastern and Central Africa (ASARECA).