
Dynamic and solutions-oriented Data Science professional with a Master's degree in Data Science and a proven track record of leveraging data analytics and machine learning to drive business decisions, enhance efficiency, and foster innovation. Specialized in developing AI-driven solutions with a passion for transforming complex datasets into actionable insights. Exceptional analytical skills combined with a strong foundation in computer science and hands-on experience in full-stack development, data management, and IT infrastructure.
Programming: Python, R, Java, C, C#, C, HTML, JavaScript, Matlab
Data Analysis: Python (Pandas, NumPy), R , Google Analytics
Machine Learning / AI : TensorFlow, PyTorch, Neural Networks
Data Visualization: Power BI, Tableau, Python (Matplotlib, Seaborn), R (ggplot2)
Cloud Computing: AWS Cloud Architecture, AWS Services (EC2, S3, Lambda, etc)
Database Management: SQL, MySQL, Oracle, NoSQL, ETL
Networking: Cisco, TCP/IP, Network Protocols
Security: Cryptography, Network Security
Data-Driven Emotion Detection (NLP)
Successfully developed a Natural Language Processing (NLP) application and implemented CNN, LSTM, and a hybrid model to detect emotions from tweets, achieving an impressive 90% accuracy.
Stock Market Price and Anomaly Detection
Designed a model to predict stock market trends and identify anomalies, utilizing time series analysis and machine learning.
Creating New Airline Routes Based on Foreign Nationalities in Cities
Utilized data analysis to propose new airline routes based on foreign nationalities in cities, employing clustering algorithms for customer segmentation.
eCommerce Mobile Application
Developed an eCommerce mobile app using Android Studio as part of the ISGA Master's program. The project involved the use of NoSQL for database management and advanced data networking for robust app functionality.