Data Scientist

Summary

I recently completed my Master of Data Science. While doing MDS, I have learned machine learning algorithms, different languages, package development, data visualization tools, Git control version, and the Agile framework. The capstone project was a great learning experience for me which taught me the techniques to perform predictive analysis on high-dimensional time-series data. The obtained results were demonstrated through an interactive dashboard for easy user access and the outcomes were highly appreciated by clients. Apart from that, I have collaborated on a few projects such as detecting anomalies in big data, building interactive dashboards, and package creation in Python and R. All these projects and different courses enriched my skills.
Before this program, I did a doctorate in Applied Mathematics and then have been working as a researcher for three years. Afterward, I moved to Canada and worked as a Research Associate at a reputed university in collaboration with a financial institute for nearly 3 years. During this period, I have worked on the formulation, modeling, and coding of algorithms, and prepared models to optimize the credit risk. I also designed proposals and prepared technical reports for our clients. While working on these problems, I honed my problem-solving and data analytical skills and my interest in implementation grew. This research experience has taught me how to implement theoretical ideas practically and how to identify and answer industry-relevant questions, and then how to use the relevant information to make beneficial decisions.

Expectations

I expect to work with any type of data, investigating the patterns, designing algorithms to capture that pattern, and implementing the same. I look for challenges and problems that can help me grow in the field of data science. I expect an open and encouraging work environment where I can use my skills and can also enhance my skills. I do not give up easily and have a problem-solving aptitude.

Employment Preferences
  • Vancouver, British Columbia, Canada
  • Victoria, British Columbia, Canada
  • Kelowna, British Columbia, Canada
Expected Base Salary

**,000 CAD / year

Academic Degree
Experience

Total Professional Experience

3 years

Startup Experience

no experience

Big-Tech Companies

no experience

Enterprise Experience

no experience
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