sharonibejih

NaijaNER: Comprehensive Named Entity Recognition for 5 Nigerian Languages

Most of the common applications of Named Entity Recognition (NER) is in English and other highly available languages. In this work, we present our findings on NER for 5 Nigerian Languages - Igbo, Yoruba, Hausa, Pidgin...

AFRIFASHION1600: A Contemporary African Fashion Dataset for Computer Vision

This work presents AFRIFASHION1600, an openly accessible contemporary African fashion image dataset containing 1600 samples labelled into 8 classes representing some African fashion styles.

EDUSTT: In-Domain Speech Recognition for Nigerian Accented Educational Contents in English

English ASR systems are trained on regular speech, therefore they may struggle to perform well on accented and domain-specific speech. Our experiment...

TCNSpeech: A Community-Curated Speech Corpus for Sermons

In this work we present TCNSpeech, a community-curated multispeaker sermon corpus for speech recognition tasks. It contains a total of 24 hours of English audio data recording, chunked and transcribed.

Named Entity Recognition in PDFs

Named Entity Recognition (NER) is used to retrieve textual information of entities. Since NER is mostly helpful in large texts, this project is focused on scanning PDF docs to extract existing named entities.

Term Deposit Prediction

A term deposit is a cash investment held at a financial institution for an agreed rate over a fixed amount of time. With telephone being one of the most effective medium of communication with customers, it is crucial to identify the customers most likely to patronize term deposits beforehand so that they can be specifically targeted via call.

Nigerian Product Apps Analytics

NG App Analytics has made it easy for Product Owners to quickly check how their app is performing on PlayStore - in comparison to other similar Nigerian mobile apps. Owners can also analyse the reviews of their apps given by their customers on either Apple or Playstore.

Real Time Speech Recognition for Nigerian Church Sermons

How convenient would it be to have a digital transcriber of church sermons that understands the Nigerian accent? This work is an implemention of our research on TCNSpeech data of 24 hours audio duration.

Sterling Bank Plc. - Lagos, Nigeria	Data Scientist	January 2023 - Present
Insidatics AI Inc. - Delaware, USA	ML Software Engineer (Contract)	February 2022 - October 2022
RectLabs Inc. - Lagos, Nigeria	AI Engineer	July 2022 - September 2022
Data Scientists Network (DSN) - Lagos, Nigeria	Researcher & Solution Analyst	October 2020 - April 2022