Data Analysis of Data Science Jobs for Data Scientists in 2023
Analysis of LinkedIn job postings in field of Data Science in Canada.
ABOUT ME
Highlights of qualifications:
• Data Analysis: Utilizing statistical modelling, analyzing complex data-related problems, machine learning, ad-hoc analysis, NLP, SQL and NoSQL databases, programming languages such as R and Python using numpy, pandas, sklearn, such tools as Tableau, PowerBI, Excel to analyze, model, and predict outcomes based on complex datasets• Data Visualization: Creating compelling data visualizations using libraries such as matplotlib, ggplot2, seaborn, plotly and Flask web-framework to effectively communicate insights and support data-driven decision-making.
• Data Engineering: Data modeling, database design, ETL, SQL, deployment services on cloud platforms such as AWS, Azure, Google Cloud and opensource NextCloud.
• Project Management: Problem solving orienting and successfully managing large-scale data-driven projects, leading multidisciplinary teams, implementing Agile methodologies, operational research, verbal and written communicating and ensuring timely delivery of high-quality products.
• Collaboration: Effectively work in cross-functional teams to drive successful project outcomes, build strong relationships with diverse stakeholders and other teams, demonstrated strong presentation skills.
• Research and Innovation: Strong background in academic research and applying innovative approaches to solve complex problems in data science, as evidenced by a PhD in Physical and Mathematical Science and multiple research projects.
• Consulting: Advising the strategic development teams of the universities in fields of digital strategy, digital products implementation, data-driven approach.
Technical stack:
Programming languages: Python, R, SQL, C++, FortranDatabase: SQL, MongoDB
Tools: Power-BI, Tableau
Methodologies: Object-oriented programming, Agile Software Development, Scrum, Kanban
Clouds: Google Cloud, Microsoft Azure
GitHub LinkedIn
DATA SCIENCE PROJECTS
Calgary Traffic Incidents
Python based project with data manipulating using Pandas and visualizations using Plotly.
Commodities Market Analysis
Python based interactive dashboard with data manipulating using Pandas, visualizations using Dash, Plotly and deployed to Microsoft Azure.
Mental Health Worldwide
Python and R based project with data manipulating using Pandas and Dplyr, statistical analysis using R and visualizations using Plotly, Matplotlib, Ggplot2
University Majors
Python and R based project with data manipulating using Pandas, statistical analysis using R and visualizations using Matplotlib, Ggplot2
Get In Touch
Fill free to contact with me via my LinkedIn profile or email using this form: