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👋 Hello, World! I'm Akashraj Raga 👨💻 🚀Research Analyst | Open Source Contributor | AI Enthusiast | Data Scientist 🎓 Information Science Graduate
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Assessing your cultural and operational fit
Text-and-Annotations
February 13, 2024 – February 13, 2024
Crafting effective visualizations requires guiding the viewer through a narrative. While some plots convey a story visually, others benefit from textual cues. Let's explore a dataset, adding annotations to enhance understanding.
View ProjectBirth-Rate-Analysis
February 13, 2024 – February 13, 2024
The Birth Rate Analysis project examines demographic trends by analyzing birth data. It involves tasks such as loading birth data from a CSV file, preprocessing the data, calculating summary statistics, visualizing trends over time, and exploring relationships between variables. This project offers insights into birth patterns and demographics.
View ProjectData-Science-Project-on-Area-and-Population
February 13, 2024 – February 13, 2024
In this project, we aim to visually represent the area and populations of various cities in California using point sizes as indicators. To provide context for the point sizes, we'll include a legend that delineates the scale of these sizes. This will be achieved by plotting labeled data points, even though they have no actual entries.
View ProjectGoGet-shop-recommendation
November 10, 2021 – February 14, 2024
The Flutter application GoGet is a Grocery Shop Recommendation Application. The developed application provides the best shop recommendation that can be used by the user to purchase their necessary commodities. Its comes under the data science domain.
View ProjectHybrid-App-Development-Lab-LA1-Component
January 18, 2021 – February 13, 2024
Food Ordering APP built using Flutter.You can explore menu, add food and order it.
View Projectquick-search-results-and-summary
March 28, 2020 – March 28, 2020
quick-search-results-and-summary — GitHub repository
View ProjectPredictive-Analysis-ML
November 18, 2019 – February 13, 2024
Explore ML mini-projects with Jupyter notebooks. Discover predictive analysis for commercial sales, leveraging regression models such as linear regression, decision trees, random forests, lasso, ridge, and extra-trees regressor.
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal learning and exploration in data science. However, the projects are predominantly personal and lack diversity in team collaboration or real-world business impact, which might indicate a need for development in a collaborative professional environment. The target role is Data Scientist, and while many projects align with this, the overall breadth of experience is limited to personal initiatives.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.