Divyadeep kaur

Data Science

https://talent.gravityer.com/divyadeep-kaur

Data Science with 1+ years in Data Analytics, Machine Learning, and Power BI.

Member since June 19, 2026

Key Strengths

Demonstrated foundational understanding of data science concepts through personal projects like Movie Recommendation System and Weather Dashboard.
Experience with Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, which are crucial for data science.
Completed a 'Complete Data Science Bootcamp' covering end-to-end data science workflow, including machine learning models (regression, classification, clustering).
Basic exposure to data visualization tools like Power BI.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate is an undergraduate with limited professional experience, primarily an internship in Salesforce development, which is not directly aligned with a Data Science target role. While personal projects demonstrate initiative in data science, the overall breadth of experience and project diversity is limited. The skills listed are relevant to data science, but the practical application in a professional setting is minimal. The Salesforce internship, while valuable for general software development, does not contribute significantly to cultural fit for a Data Science role.

Soft Skills & Operational Fit

The candidate's resume indicates an analytical and technology-driven approach. Project descriptions suggest an ability to work independently on defined tasks. However, there is insufficient data from assessments to evaluate logical reasoning, work attitude, stress handling, or team collaboration.

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Projects

Weather Dashboard

July 1, 2025 – July 1, 2025

Developed an interactive dashboard using Python and APIs for real-time and historical weather data. Implemented data cleaning with Pandas and created dynamic visualizations for temperature, humidity, and precipitation trends.

View Project

Movie Recommendation System

July 1, 2025 – July 1, 2025

Built a collaborative and content-based system to provide personalized movie suggestions. Processed large datasets with Pandas and optimized recommendations using similarity algorithms.

Key Strengths

Demonstrated foundational understanding of data science concepts through personal projects like Movie Recommendation System and Weather Dashboard.
Experience with Python libraries such as Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn, which are crucial for data science.
Completed a 'Complete Data Science Bootcamp' covering end-to-end data science workflow, including machine learning models (regression, classification, clustering).
Basic exposure to data visualization tools like Power BI.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Divyadeep kaur

Key Strengths

Cultural & Operational Fit

About

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Key Strengths

Cultural & Operational Fit