I'm a data scientist with over 4 years of experience in the field. My expertise lies in using statistical analysis and machine learning techniques to solve complex business problems and drive data-driven decision making.
- Python and R
- Statistical analysis
- Machine learning (supervised and unsupervised learning)
- Deep learning
- Natural Language Processing (NLP)
- Data visualization and storytelling
- Big Data processing and distributed computing frameworks (Hadoop, Spark)
- Computer Vision
Here are some of my recent projects that showcase my skills and expertise:
Developed an advanced CNN-based model for highly accurate classification of normal blood cells. Achieved over 99% accuracy, ensuring precise identification across diverse cell types. Ideal for streamlined medical diagnostics and improved patient care. Check out the repository for more information.
In this project, I developed a recommendation system for books using collaborative filtering and content-based filtering techniques. The system recommends books to users based on their reading history and preferences. Check out the repository for more information.
This project collects historical stock price data from the Yahoo Finance website and stores it in a database for further analysis. The collected data can be used to train machine learning models for stock price prediction. Check out the repository for more information.
In this project, I built a deep learning model using Convolutional Neural Networks (CNNs) to classify images from the CIFAR-10 dataset. The model achieved an accuracy of over 90% on the test set. Check out the repository for more information.
This project uses deep learning techniques to classify images of cats and dogs. I built a Convolutional Neural Network (CNN) model that achieved an accuracy of over 90% on the test set. Check out the repository for more information.
This project involves a detailed analysis of a company’s ideal customers using customer personality analysis. The analysis helps a business better understand its customers and modify its products according to the specific needs, behaviors, and concerns of different types of customers. The project demonstrates how customer personality analysis can be used to target specific customer segments for marketing purposes. Check out the repository for more information.
This certification program from LinkedIn covers essential skills and tools for a data scientist, including data analysis, machine learning, and data storytelling.
This certification program from LinkedIn and Microsoft covers fundamental data analysis concepts, including data visualization, statistical inference, and predictive modeling.
This certification program from LinkedIn provides comprehensive training on Microsoft SQL Server 2019, including database design, data manipulation, and data storage.
This certification program from Coursera provides an overview of AI and machine learning techniques, with a focus on using Microsoft Azure for AI development and deployment.
This certification program from Coursera covers best practices for deploying machine learning models into production, including monitoring, testing, and scaling.
I'm always looking to connect with other data scientists and professionals in the field. You can find me on LinkedIn or reach out to me via email.