Daniel is a performance-driven and experienced Machine Learning Engineer with a Degree in Information and Communication Engineering who is proficient in Python with 2+ years of designing and developing Machine learning and Deep learning pipelines for Data Analytics and Computer Vision use-cases capable of making critical predictions in the Recruitment Industry. 

He has knowledge in evaluating algorithms to improve performance, quality, and accuracy for Regression (Linear/Logistic), Classification (Binary/Multi-label), KNN, Object Detection and Tracking, Natural Language Processing (Sentiment Analysis), and Recommender Systems (Content-based), Data preparation/cleansing.

Skilled at optimizing Convolutional Neural Networks and employing Deep Learning methodologies to ensure effective strategy formulation and implementation and looking forward to applying the acquired gamut of skills to a challenging role in the Machine and Deep learning space.

Key Skills:

-Computer Vision

-Data Analytics

-Exploratory Data Analysis

-Automatic Speech Recognition

-Natural Language Processing

Database:

-Microsoft SQL, PostgreSQL

App development tools;

-Flask, HTML5, CSS

Deployment:

-Heroku

And Version Control with Git.

Some Python Machine Learning/Deep Learning packages I have worked with are;

-Numpy, Scikit-learn, Pandas, Tensorflow 2, DeepSpeech, Keras, OpenCV, Scrapy, Mediapipe, Face_recognition, Dlib, Imutils, Matplotlib, pyaudio, Seaborn, BeautifulSoup, Nltk

Github: https://github.com/danielAdama

Portfolio: https://danieladama.vercel.app/

My Contact: 

Email: adamadaniel321@gmail.com

Phone number: +2348133108645