Data Scientist

Summary

I'm interested in data science, machine learning, customer experience, and how they work together. I work in these areas and apply this knowledge to help companies make accurate decisions rather than exaggeration.

Specialities/Interests:
- Getting value from data through the scientific method
- Data Science
- Machine learning
- Deep Learning
- Data Structures
- SQL
- Power BI
- All things analytics
- Educating the masses on statistics and statistical thinking
- Attitudinal measurement, including customer/employee satisfaction

I have done several projects in which
House Price Prediction from the Zameen.com dataset
SuperStore Sales Time-series Analysis
Flipkart Web Scraping
Comment Toxicity NLP
AgriTopShot Image Classification and Object Detection Project.

Expectations

As I step into this new role, I bring with me a set of expectations rooted in a commitment to excellence, collaboration, and continuous growth. Here are my key expectations
Challenging and Impactful Work
Professional Growth Opportunities
Collaborative and Inclusive Culture
Clear Expectations and Feedback
Access to Resources
A Healthy Work-Life Balance
Recognition and Rewards
Commitment to Diversity, Equity, and Inclusion
I value working in an environment that promotes diversity, equity, and inclusion. I believe that a diverse team fosters creativity and innovation, and I am eager to contribute to and learn from such a dynamic and inclusive workplace.
By aligning these expectations, I am confident in my ability to make meaningful contributions to the organization while also growing both personally and professionally. I am excited about the prospect of joining the team and contributing to the collective success of the company.

Employment Preferences

Relocation destinations:

  • Toronto, Ontario, Canada
  • Mississauga, Ontario, Canada
Expected Base Salary

**,000 CAD

Expected Hourly Rate

** CAD/hr

Academic Degree
Security Clearance Level
Experience

Total Professional Experience

1 year

Startup Experience

no experience

Big-Tech Companies

no experience

Enterprise Experience

no experience
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