Data Science Intern (In office)
Aug 2023 - Jan 2024
Rubixe
- Developed an AI-based food classification model that identifies nutritional content from a single picture, successfully classifying 8 food categories across Indian, Italian, and American cuisines.
- Collaborated with a cross-functional team of 15+ members to create a user-friendly application, contributing to the decision making and improving ability to work in a team.
- Led efforts to improve model robustness by conducting over 50 simulations and analyses; established a foundation that supports the incorporation of 3 additional food categories, enhancing analytical thinking and ability to learn.
Data Science Intern (In Office)
Jan 2023 - Jun 2023
LICET - OpenWeaver
- Automated data analysis pipelines leveraging NumPy and Pandas, resulting in a 50% reduction in manual processing time; enhanced data retrieval and processing efficiency and attention to detail for ongoing projects.
- Convert designs into real world applications and pages using
multiple front-end technologies.
- Designed and tested a predictive analytics model for heart disease, processing 14 variables from 500+ patient records, this led to an improvement in problem-solving skills.
Data Analytics and Visualization (Remote)
July 2022
Accenture North America Data Analytics and Visualization Job Simulation on Forage
- Completed a simulation focused on advising a hypothetical social media client as a Data Analyst at Accenture.
- Cleaned, modelled and analyzed 7 datasets to uncover insights into content trends to inform strategic decisions.
- Prepared a PowerPoint deck and video presentation to communicate key insights for the client and internal stakeholders.
Data Analytics (Remote)
Jan 2022
Quantium Data Analytics Job Simulation on Forage
- Completed a job simulation focused on Data Analytics and Commercial Insights for the data science team.
- Developed expertise in data preparation and customer analytics, utilizing transaction datasets to extract valuable insights and deliver data-driven commercial recommendations.
- Extended analytical capabilities to identify benchmark stores for conducting uplift testing on trial store layouts, enabling evidence-based decision-making.
- Leveraged acquired data analytics and insights from previous tasks to create comprehensive reports for the Category Manager, facilitating informed strategic decisions and enhancing commercial applications.
