Hey, I have secured my Post-graduate degree in Computer Science (MSCS) with majors that include Intelligent Systems and Data Science. I have been working in the industry since mid of 2014 as a Software Engineer (especially in mobile application development) and also have teaching experience as a cooperative lecturer and visiting faculty.

My passion for Artificial intelligence and machine learning is not letting me stop. Constantly exploring and learning which made me work with Data Science Applications including stock price predictions, sentiment analysis of Tweets, and Life Insurance’s potential risk predictions. My research areas include bioinformatics, health informatics, and data science in general. Skills in AI & ML include Linear regression, GLM, PCA, Lasso, Ridge, Bayesian Analysis, Random forest, ADA-Boosting, Ensembling, bagging, stacking, Naive Bayes, ACO, PSO, Evolutionary Computing, K-mean, and neural network in general.

Moreover, 
some programming languages I worked with include- Swift, Objective-C, Python, Java, and Javascript.



Databases worked with include:
- MongoDB, MySQL, MSSQL, Cassandra, Redis, InfluxDB, and Riak.



Some of the tools include;
- Xcode, Jupyter, iPython, Android Studio, Eclipse, Visual Studio, Atom, Visual Code, KNIME, Orange, Tableau, Rapid Miner, and MySQL Workbench.
 Other includes Docker, Graph lab, and Apache Spark.