Freelancers

I am a highly skilled Data Scientist and Machine Learning Engineer with a focus on understanding how data can provide insights into the world around us. Holding an MSc in Data Science, I am driven by generating innovative ideas and devising feasible solutions to complex problems. Colleagues and friends would describe me as a proactive, resourceful individual with a can-do attitude when it comes to tackling challenges. My expertise lies in Machine Learning, Deep Learning, and AI, with a deep knowledge of programming languages, software, and tools such as Python (PyCharm/Anaconda), R (RStudio), SQL (MySQL, BigQuery), PySpark, Docker, Kubernetes, Flask, FastAPI, CLI, Tableau, Informatica PowerCenter, MongoDB, Apache Kafka, and Knime. In addition, I have experience working with various libraries including Pandas, Numpy, TensorFlow, Scikit-Learn, Sklearn, SciPy, Matplotlib, Seaborn, and Keras, as well as a diverse range of algorithms and models such as Naive Bayes, Decision Tree, Random Forest, XGBoost, SVM, K-NN, K-Means, PCA, Convolutional Neural Network, Recurrent Neural Network, Linear Regression, Polynomial Regression, and Multiple Regression.