Hello! I'm Shayema Naaz, a recent M.Sc. in Data Science graduate from the University of Kalyani. With a strong foundation in mathematics, statistics, and computer science, I am dedicated to uncovering meaningful insights and solving complex problems through data analysis and machine learning.
My Journey
My journey into the world of data science began with a fascination for numbers and patterns during my Bachelor's in Mathematics, which led me to pursue a Master's in Data Science where I explored various programming languages, statistical methods, and machine learning techniques. Over time, I have developed a diverse skill set that includes proficiency in Python, R, SQL, and various data visualization tools such as Power BI and Matplotlib. I'm particularly interested in staying ahead of the curve by continuously expanding my knowledge in machine learning, deep learning, NLP and the latest industry trends and technologies.
What I Do
In my academic and personal projects, I focus on:
Data Analysis: Extracting, cleaning, and analyzing large datasets to uncover trends and patterns.
Machine Learning: Building and deploying predictive models to solve real-world problems.
Data Visualization: Creating compelling and interactive visualizations to communicate insights effectively.
Research: Exploring cutting-edge techniques in artificial intelligence and deep learning.
Education
Master of Science in Data Science 2022-2024
University of Kalyani
CGPA: 8.44
Bachelor of Science in Mathematics 2019-2022
Mahadevanda Mahavidyalaya, West Bengal State University
CGPA: 9.10
Class 12, ISC 2018-2019
West Point Academy, CISCE
Grade: A
Skills
Programming languages: Python, R, SQL
Analytical tools: Advanced Excel, Power BI, Tableau
Libraries: Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tensorflow
Domain knowledge: Maths, Statistics, Database Management Systems (DBMS), Data Structures and Algorithms (DSA), Data visualization, Exploratory Data Analysis, Artificial Intelligence, Machine learning, Deep learning, GenAI, Natural language processing
Development tools: Google Colab, Jupyter Notebook, VS Code