Anmol Sodhi
Student -
(3)
13
Portals

Skills

Algorithms 2 Artificial intelligence 2 Data analysis 2 Machine learning 2 Predictive analytics 2 Auditing 1 Comparative analysis 1 Inbound marketing 1 Predictive analytics software 1 Preparing executive summaries 1 Research 1 Search engine optimization 1 Strategic positioning 1

Achievements

Latest feedback

Shabs B
Shabs B
Founder
December 24, 2024
Team feedback
Dedicated and smart candidate!
Inbound marketing Search engine optimization Auditing
University of Saskatchewan Level UP
May 2024 - April 2025 USask Level UP
University of Saskatchewan Level UP
CofiLife
Inbound Marketing Audit
CofiLife
Quak Foo Lee
Quak Foo Lee
He / Him
CEO
September 29, 2024
Individual endorsement
Algorithms Artificial intelligence Machine learning Predictive analytics

Machine Learning

Team feedback
Anmol demonstrated a strong understanding of the core concepts related to artificial intelligence and machine learning. His proactive approach in problem-solving and ability to work collaboratively made a significant impact on the success of the project. Throughout the engagement, Anmol showed dedication to improving both individual skills and the overall performance. His communication skills were excellent, and he consistently delivered high-quality work within deadlines. I highly recommend Anmol for any future projects or roles that require technical expertise and a strong work ethic.
Algorithms Artificial intelligence Machine learning Predictive analytics Research
University of Saskatchewan Level UP
May 2024 - April 2025 USask Level UP
University of Saskatchewan Level UP
Chmltech Ltd.
Artificial Intelligence & Machine Learning Application
Chmltech Ltd.
Shabs B
Shabs B
Founder
October 10, 2024
Individual endorsement
Data analysis Predictive analytics software

great in problem solving!

Team feedback
Excellent work ethic and committed attitude
Data analysis Strategic positioning Comparative analysis Preparing executive summaries
University of Saskatchewan Level UP
May 2024 - April 2025 USask Level UP
University of Saskatchewan Level UP
CofiLife
Data Analysis for Health Food Competitive Positioning
CofiLife

Recent projects

CofiLife
CofiLife
Toronto, Ontario, Canada

Inbound Marketing Audit

The main goal for the project is to conduct a comprehensive audit of CaffeBerry.co's inbound marketing, including SEO analysis and positioning with respect to competitors. This will involve several different steps for the students, including: - Analyzing the current inbound marketing strategies and tactics employed by CaffeBerry.co. - Conducting a thorough SEO analysis to identify areas for improvement and optimization. - Researching and analyzing the positioning of CaffeBerry.co in comparison to its competitors in the health food and beverage industry. - Developing recommendations for enhancing the inbound marketing strategies and improving the positioning of CaffeBerry.co.

Matches 2
Category Digital marketing + 3
Closed
CofiLife
CofiLife
Toronto, Ontario, Canada

Data Analysis for Health Food Competitive Positioning

The main goal for the project is to conduct a comprehensive analysis of open data from Health Canada to determine the competitive positioning for the launch of CaffeBerry's new health food product. This will involve several different steps for the learners, including: - Gathering and analyzing data on similar health food products in the market. - Conducting a comparative analysis of CaffeBerry's product with existing health food options.

Matches 11
Category Data analysis + 3
Open
Chmltech Ltd.
Chmltech Ltd.
Maple Ridge, British Columbia, Canada

Artificial Intelligence & Machine Learning Application

Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications. We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications. This will involve several different steps for the students, including: Conducting background research on our existing products and the dataset. Analyzing our current dataset. Researching the latest AI / ML techniques and how they could be applied to our data. Developing an AI / ML model that provides unique outcomes or insights into our data. Providing multiple solutions that can be applied to solve the same problem.

Matches 12
Category Data analysis + 4
Open