Daniel Enemona Adama

I am Daniel, a Machine Learning Engineer with 2.3+ years of experience who specializes in Data Analytics, ETL and Computer Vision, proficient in Python and SQL. I have a Bachelor of Engineering Degree in Information and Communication Engineering.

Achievements:

• Participated in the Analytics Vidhya JOB-A-THON competition and got a position of 454/1181 participants.

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.
• Heroku, Docker, Flask, PostgreSQL Linux, HTML5, CSS, and Version Control with Git.

Github: https://github.com/danielAdama

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

Experience:

• I currently work as a Software Engineer at Secured Records Management Solutions Limited in Nigeria, developing document management technologies such as a pdf file compressor.
• I previously worked as a Machine Learning Developer at TalenQ Pvt Ltd, where I build Computer Vision and Speech Recognition pipelines with the use of some python frameworks such as TensorFlow, Deep Speech, OpenCV, Imutils, Sklearn, etc. to meet the company’s goals and commitments, learning the company’s business model.
• I started my career as a Telecommunication Engineering Intern at Centre for Satellite Technology Development for 9 months where I cooperated with a team of 6 to design a drone for the fertilization of farm crops through the use of Satellites, participated in an ongoing project that involves programming a raspberry pi to detect any airplane from a distance that crosses over NASDRA.
• After that, I worked as a Machine Learning Intern at CodeTrophs for 3 months where I transformed raw data to conform to the assumptions of machine learning algorithms and I deployed Machine Learning algorithms such as Naïve Bayes, Support Vector Machines, Random Forest Classifier, and Logistic Regression.