Hemanth Kaleswara Chowdary Dhanekula
Learner
3
- Location
- Calgary, Alberta, Canada
- Portals
-
- Categories
- Data analysis Databases Data science Data visualization Machine learning
Skills
Algorithm design
1
Algorithms
1
Business metrics
1
Data science
1
Finance
1
Financial market
1
High potential identification
1
Ibm system p
1
Performance metric
1
Systems design
1
Socials
Latest feedback
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Achievements

Community Builder
Issued by Riipen
The Community Builder achievement is awarded to learners who provided feedback to project partners at the conclusion of their project, helping to create a better experiential learning ecosystem for all participants.
Sep 1, 2025

Work-Integrated Learner
Issued by Riipen
The Work-Integrated Learner achievement is awarded to learners who applied their skills to a real-world problem by completing a project for an external partner. These learners provided real benefit to businesses while developing experience.
Sep 1, 2025

Project Participant
Issued by Riipen
The Project Participant achievement is awarded to learners who start their first project, demonstrating their commitment to putting learned skills to practice.
May 6, 2025
Recent projects
Work experience
Data Science Intern
Groundhog Apps Pvt Ltd
Hyderabad, Telangana, India
July 2023 - October 2024
Utilized MS Power BI for data visualization, projecting insights for company and client datasets.
Worked on data sets of the company and did data analysis. Analyzing the data sets, understanding the data, and providing future predictions. Learned the MS Power BI tool, used for visualizing the data given, and it helped project the dataset predictions provided by the company and clients.
Gained experience in machine learning techniques for data prediction.
Personal projects
Cab fare prediction through Machine learning
November 2023 - January 2024
https://github.com/hemanthdhaneukula/cab-fare-predictionDeveloped machine learning models using linear regression, random forest, and XGBoost to predict taxi demand based on data patterns, optimizing resource allocation for taxi companies. Got an accuracy of 95%.