(-
PAULAD COURT,
Dawaki, Abuja, Nigeria.-
Daniel Enemona Adama
Machine Learning Engineer
GitHub: danielAdama
Portfolio: danieladama
LinkedIn: danieladama
I am a Machine Learning Engineer with 2.3+ years of experience who specializes in Data Analytics, ETL and
Computer Vision, proficient in Python and SQL.
Skills
Tools and Languages
Python, PostgreSQL, SQLite3, SQLAlchemy, Docker, Git, Linux, Jupyter Notebook, Heroku, Tensorflow, Deep Learning, Neural Networks, Natural Language Processing (Sentiment Analysis), and
Recommender Systems (Content-based), Image Processing, Data Mining, Computer Vision, Speech
Recognition, Classification (Binary and Multi-label), Model Deployment, Modelling and Evaluation
Techniques, Web Scraping, HTML/CSS, API Testing Tool (Postman)
Technical Skills
Regression(Linear/Logistic, Lasso and Ridge), Gradient Boosting, KNN, Data Manipulation, and
Analysis, Python (Scikit-learn, Numpy, OpenCV, Mediapipe, Pytesseract, Matplotlib, Pyaudio,
Seaborn, Deep Speech, Face recognition, Dlib, Imutils, Pandas, Imutils, Tensorflow 2, Keras, Caffe,
Nltk, Statsmodels, Glob, BeautifulSoup)
Communication
English (native), French(basic)
Project Summary
NYC Taxi Trip Duration
Sklearn, Completed the New York City Taxi trip duration and achieved an R
squared of 0.9993 and a Root mean squared error of 0.214 to
Numpy,
predict the trip duration for your taxi driver to your location which can
Pandas,
be Uber, Bolt etc.
Numpy,
Seaborn, https://github.com/danielAdama/NYC_taxi_trip_duration
Matplotlib.
Bank Churn Prediction
Successfully built 3 Models to predict whether customers of a bank will
Pandas,
Sklearn, churn or not.
https://github.com/danielAdama/bank_churn_prediction
Numpy,
Seaborn,
Matplotlib.
AI Sentiment Analyser
Sklearn,
Pandas,
Flask,
Nltk.
Hand Sign Recognition
Sklearn, Successfully completed a Hand Sign Recognition System using Sklearn,
OpenCV. OpenCV, etc. to identify gestures like Cool, Peace, Hi, and One.
https://github.com/danielAdama/Hand_Sign_recognition
Completed and deployed an AI-based Sentiment Analyser on Heroku. The
application takes a user’s review as input and then measures the attitude/sentiment of that user towards the aspect of a movie which can
either be Positive or Negative
https://sentimentpredictions.herokuapp.com/
https://github.com/danielAdama/sentiment_app
Recent Work Experience
Software Engineer
Secured Records Management Solutions LTD
Oct 2021 — Present
Abuja, Nigeria
• Lead a team of 4 in the successful completion of a project
Machine Learning Developer
TalenQ Pvt Ltd
Feb 2021 — Oct 2021
Bangalore Urban, Karnataka, India (Remote)
• Completed a real-time Face Recognition system that recognizes and tags known faces accordingly with Dlib,
OpenCV, Imutils, etc.
• Researched and Implemented a Speech Recognition pipeline with Deepspeech, Webrtcvad, Pyaudio, etc. for a
real-time video conferencing platform.
• Developed a Face and Eye-tracking algorithm including Face mask detection for real-time purposes with OpenCV,
Tensorflow, etc.
• Utilized Deep Learning Frameworks like Tensorflow, Keras, OpenCV, Dlib, and Face recognition for Computer Vision use
cases.
• Reports feedback to the team on the progress of the project
• Worked with 3 different pre-trained models which are ResNet50, EfficientNetB1, and MobileNet V2.
• Created various charts in Jupyter Notebook using Matplotlib to perform a preliminary analysis on the collected data.
IoT Computer Vision Intern
The Sparks Foundation
Mar 2021 — Apr 2021
Singapore, Singapore (Remote)
• Downloaded Image data from Google and Kaggle for training purposes.
• Trained 2710 images on my local machine and got a 98 percent accuracy.
• Built a real-time Covid-19 Face Mask Detection system for the detection of a person with a mask or not.
Machine Learning Intern
CodeTrophs
•
•
•
•
•
•
Dec 2020 — Feb 2021
New Delhi, Delhi, India (Remote)
Deployed Machine Learning algorithms like Naive Bayes, SVM, Random Forests, Logistic Regression, etc. on Heroku
Scrapped data from diverse websites with Python Scrapy.
Transformed raw data to conform to assumptions of machine learning algorithm.
Investigated available resources to develop more useful project plans.
Created a web application to make critical predictions.
Carried out day-to-day duties accurately and efficiently.
Telecommunication Engineering Intern
Centre for Satellite Technology Development
Feb 2019 — Oct 2019
Abuja, Nigeria
• Cooperated with a team of 6 to develop a drone for the fertilization of farm crops through the use of Satellites.
• Volunteered with a team of 8 to the building of a Radio Frequency (RF) antenna to communicate via abandoned
Satellites.
• Participated in an ongoing project that detects any airplane from a distance that crosses over NASDRA
Education
Bachelor of Engineering (B.E.))
Information and Communication Engineering
GPA: 3.67/5
Covenant University
Aug 2015 — Jul 2021
Ota, Ogun state, Nigeria
Achievements
• Participated in the Analytics Vidhya JOB-A-THON competition and got a position of 454/1181 participants.
Certifications
Getting started with Docker (Simplilearn)
Machine Learning Certification Course (Analytics Vidhya)
Neural Networks and Deep Learning (Deeplearning.ai)
Data Science Course 2020 (365 Data Science)
OpenCV Basics - OpenCV101 (Pyimagesearch)
Bounding Box Regression - Object Detection 202 (Pyimagesearch)
Fundamentals of Deep Learning Object Detection - Object Detection 201 (Pyimagesearch)
Jan
Jan
Aug
Dec
May
May
May
-
