Karanveer Singh
Winnipeg,MB
Summary
Detail-oriented and highly motivated Data Science graduate with hands-on experience in machine learning, data analysis, and visualization. Recent graduate from Red River College, skilled in Python, SQL, and Scikit-learn. Currently working in a customer-facing role at Walmart, enhancing public dealing and problem-solving abilities. Eager to apply technical expertise to meaningful projects, especially in data analysis and machine learning, to drive business impact.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Asset Protection Associate
Walmart
04.2024 - Current
- Engaged with customers daily to resolve issues, ensuring positive shopping experience while maintaining asset protection protocols
- Developed strong problem-solving and communication skills, handling dynamic situations and conflicts professionally
- Collaborated with various teams to implement security measures, protecting store assets and enhancing safety.
- Patrolled store departments to check for suspicious activities.
Industry Project Experience
Healthcare Institute
01.2024 - 04.2024
- Integrated AI solutions to streamline healthcare processes, improving decision-making efficiency.
- Led a data-gathering project to automate manual processes, significantly reducing the time required for data collection.
- Collaborated with a cross-functional team of 7 under instructor guidance, delivering on time and exceeding project expectations.
Education
Diploma in Data Science and Machine Learning -
Red River College Polytechnic
Winnipeg, MB04.2024
Skills
- Python
- Scikit-learn
- SQL
- Data Analysis
- Data Visualization (Matplotlib, Seaborn)
- Machine Learning Algorithms
- Quantitative Analysis
- Customer Service
Volunteer Experience
Healthcare Institute, Winnipeg, MB, 06/2024, 08/2024,
- Enhanced app usability through feature updates, including CSV upload, column selection for machine learning, and improved user interface design.,
- Designed and implemented pagination for efficient data review and submission processes.
Projects
- CIFAR10 Image Classification: Built CNN models to classify images in the CIFAR10 dataset using both from-scratch and transfer learning techniques.
- Stock Price Prediction: Developed a Python-based machine learning model using sci-kit-learn to predict stock prices, visualizing trends through Matplotlib and Seaborn.
- Autoencoder for Image Compression: Implemented an autoencoder model for efficient image encoding and decoding, optimizing memory use.
- PCA for Customer Segmentation: Used Principal Component Analysis to segment customers, aiding in the development of targeted marketing strategies.
- Decision Trees for Student Performance: Built and optimized a decision tree classifier to analyze the impact of various factors on student performance.
- Random Forest and Ensemble Learning: Compared random forests with other models, using ensemble learning techniques to improve prediction accuracy.
- Spam Classifier: Developed a spam classifier for YouTube comments, applying TF-IDF and sci-kit-learn to detect and filter spam.
Certification
- Foundations: Data, Data, Everywhere - Google
- You Need A Career Development Plan - LinkedIn
- The 10 Pillars of Customer Experience - LinkedIn
Languages
English
Native or Bilingual
Hindi
Native or Bilingual
Punjabi
Native or Bilingual
References
Available upon request
Timeline
Asset Protection Associate
Walmart
04.2024 - Current
Industry Project Experience
Healthcare Institute
01.2024 - 04.2024
- Foundations: Data, Data, Everywhere - Google
- You Need A Career Development Plan - LinkedIn
- The 10 Pillars of Customer Experience - LinkedIn
Diploma in Data Science and Machine Learning -
Red River College Polytechnic
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