Naftal Rainer

Data Analyst - Reckitt Benckiser(EA)

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</About Me>


Hi 👋

My Name is Naftal Rainer.

I am a data analyst at Reckitt Benckiser and a co-founder at Grid Online.

I have 2+ years of experience in different industries ranging from fmcg, healthcare, education and IT with first-hand experience in data science and analytics.

I specialize in helping organizations and entrepreneurs maximize their data values to deliver better products that improves their growth and advance my knowledge and skills.

I am excited to be a part of a team that leverages artificial intelligence, machine learning, and data science to build out-of-the-box solutions.

Check the links below to know more about me 😊

Projects Badges Resume

</Education>


2018 - 2022: BSc Mathematics and Computer Science.

Jomo Kenyatta University of Agriculture and Technology (JKUAT).

07/2022 - 10/2022: Data Analytics.

UDACITY.

10/2021 - 12/2021: IBM Data Science Paractitioner.

IBM Skills Academy.

02/2021 - 03/2021: CISCO CCNA 1.

CISCO Networking Academy.


</Experience>


09/2022 – 11/2022 : Data Scientist, Omdena.

I worked as a Data Scientist at the Omdena Sydney Chapter, where I build models to detect and classify disasters using social media data.


06/2022 - 08/2022: Data Analyst, KenyaHMIS Project

Worked with a 3 personnel analytics team in a bootcamp to identify probable solutions in the use of eHealth to enhance decision making for public health good in Kenya.


03/2022 - 05/2022: Product Analyst Intern, Angaza Elimu


10/2021 - 12/2021: Attaché, Jomo Kenyatta University of Agriculture and Technology.


</Portfolio>


E-Commerce || Healthcare || Education || Information Technology || Transport

MOVIE RECOMMENDER SYSTEM

Movie Reccomender System

A recommender system using collaborative and content based filtering algorithms and hosted on a remote AWS WC2 instance.


ROAD ACCIDENTS ANALYSIS IN KENYA

Road Accidents

Kenyan road users have been involved in tragic road traffic accidents as the population has grown and motorization has increased.

I set out to analyze the most common times and locations where accidents occur in order to assist police in identifying problem locations and times for enforcement; Have appropriate clusters in which they could assist policymakers at the national, regional, and local levels in setting crash reduction targets, developing road safety action plans, and monitoring performance.


COVID-19 SENTIMENT ANALYSIS

Covid Sentiments

This project involves text analysis on Covid-19 tweets extracted from Twitter using Python.

Among other things, the goal is to perform text processing, sentiment analysis & keyword extraction in order to gather and present insights from the data.


UBER - AMBULANCE NAIROBI PERAMBULATION CHALLENGE.

Ambulance Rescue

Given information on thousands of traffic accidents that occurred in Nairobi, Kenya in 2018 and 2019, as identified by the World Bank DIME research team and Flare, I set out to find locations for 6 ambulances every 3 hours during the test period. We will calculate the distance from each crash recorded in the training data to the nearest ambulance based on our scheduled locations. The total distance traveled (in decimal degrees) by all ambulances during the test period determines the final score. The goal is to place the six ambulances in locations that minimize the final score.


FINANCIAL INCLUSION IN AFRICA

Financial Inclusion

Financial inclusion remains one of the most significant barriers to African economic and human development. In Kenya, Rwanda, Tanzania, and Uganda, for example, only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account.

This project seeks to determine whether or not a resident has access to a bank account.


MARKETING CAMPAIGNS ANALYSIS

Marketing Campaigns

Client interactions and responses towards various marketing trends and methods can be relevant in making business decisions and product sales strategies.

This project analyses prospective client engagement in various marketing channels such as House Ads, Push, Facebook, Instagram and Email marketing to observe marketing trends in 2018.