Position: Data Scientist, Machine Learning & AI Engineer
Category: Data Science
English level: fluent
Years of experience: 2.5


Machine Learning Engineer | Data Scientist

Overview:
As an accomplished Machine Learning Engineer and Data Scientist, I have a strong track record of delivering cutting-edge solutions to complex real-world problems. With almost 3 years experience in the field of building AI & ML powered products and services, I am well-versed in various machine learning algorithms, data analysis, and predictive modeling. I thrive in interdisciplinary teams and have a passion for translating data-driven insights into actionable business strategies.

Work Experience:

1. Machine Learning Engineer | BreezeLearn | Calgary, Canada.

- Spearheaded end-to-end development of a customer churn prediction model for a leading telecom company, resulting in a 25% reduction in churn rate and saving $5k annually.
- Leveraged natural language processing (NLP) techniques to build a sentiment analysis tool that provided valuable insights into customer feedback, leading to a 15% increase in customer satisfaction.
- Collaborated with cross-functional teams to design and implement a chatbot recommendation system for an e-commerce platform, boosting click-through rates by 20% and driving $1 million in additional revenue.

Technologies used: Python, scikit-learn, TensorFlow, Keras, pandas, NumPy, Matplotlib, NLTK, spaCy, Jupyter Notebook.

2. Machine Learning Research Scientist | SisonkeBioTik Research | Johannesburg, South Africa

- Researched and developed state-of-the-art deep learning models for image recognition, achieving a top-5 accuracy of 92% on the ImageNet dataset.
- Collaborated with researchers to implement reinforcement learning algorithms for autonomous robot navigation, leading to successful real-world testing in complex environments.
- Mentored fellow team members in machine learning best practices and coding standards, resulting in improved team performance and cohesion.

Technologies used: Python, TensorFlow, Keras, PyTorch, OpenCV, Caffe, Git.

Current Role in the Team:

In my current role, I serve as a Machine Learning Expert and Data Scientist, responsible for leading projects from conception to deployment. I collaborate closely with cross-functional teams, including software engineers, data engineers, and domain experts, to identify business challenges and develop scalable solutions. My expertise in machine learning algorithms, statistical analysis, and data visualization enables me to derive ac