• 💻 I'm a Data Scientist and a Data Analyst with 4+ years of experience and a Master of Science degree.

• ⭐ Co-Founder of Data Jungle 🌴 (LinkedIn)

• ⚡ Python programming

• 💪🏻 I'm specialised in Artificial Intelligence 🤖, Machine Learning 🦾, Deep Learning 🧠, Time-Series 🕒📈, Statistics 📊 and Big Data⭐

• ⚡ SAS Base SAS, SAS/STAT, SAS/GRAPH

• 📫 How to reach me [email protected]

• The project aims to develop an image processing model with pre-trained models named MobileNet, VGG16 and ResNet50.
• The project involves utilizing image processing, Mlflow, fine-tuning, TensorFlow, Keras and Streamlit for rapid prototyping and deployment.
• The project was successfully completed with an accuracy of 97.14%.

• The project aims to develop a fraud detection model with big data technologies such as Apache.
• The project involves utilizing Apache Hadoop, Apache Hive and Apache Spark.
• The project was successfully completed with recall of 78.8% and precision of 90.0%.

• The study aims to bring a deep understanding about artificial neural networks’ training and prediction process.
• The study involves utilizing TensorFlow and SciKit-Learn.
• The study was resulted in a 1450% lower MAE value and in a 182% lower model weight variation.

• The project aims to address Enefit’s energy production and consumption forecast problem.
• The project involves utilizing Apache Hadoop, Apache Spark, Docker, Kubernetes, Flask and auto-regressive time-series forecasting.

• The study aims to develop statistical risk models to predict survivability and adaptability traits, life-span forecasting, estimating the effect of genetic and environmental factors, and estimating genetic parameters.
• The study involves utilizing hypothesis testing, auto-regressive time-series forecasting and statistical learning models.
• The study has provided insights into the survival abilities of more than 64,000 species.