Data Scientist

Summary

An innovative and scientific graduate from Kingston University London with a masters degree in Data Science. Skilled at Data Manipulating, Data Analysing, and Data Visualization plus Programming, Data Management, Mathematical, Statistical, and Problem-Solving skills. A keen eye for detail to observe data trends and thrive in the fast-paced and challenging technology industry. Being ready to work in a challenging environment based on in-depth knowledge of the data industry, perseverance, and adaptability.

Expectations

I am passionate about data and working on data projects. After several years of working in this field and completing the master's course in data science, this interest in me multiplied. Also, being in your dynamic and exciting work environment and of course, your team's professional mentors is very stimulating. I can definitely make a lot of progress with you with my hard work.

Employment Preferences

Expected Base Salary

**,000 GBP

Expected Hourly Rate

** GBP/hr

Academic Degree

Experience

Skills

• Languages
• Python
• R
• SQL.
• ML Packages
• Scikit-Learn
• NumPy
• Pandas
• Keras
• TensorFlow
• Seaborn
• Matplotlib
• Plotly.
• ML Models
• Clustering K Means
• Gaussian Mixture. Classification Decision Trees
• SVM
• Random Forest
• Naïve Bayes
• Neural Networks. Boosting XGBoost
• AdaBoost. Feature Reduction Scaling
• PCA
• Categorical Labelling
• One-hot Encoding.
• DB
• Big Data
• Data Modelling
• Data Warehousing
• Star Schema.
• BI
• Other Tools
• Power BI
• Tableau
• Excel Jupyter
• Google Colab Notebooks
• Spyder
• Microsoft Office
• Git