Sneha M

• Managed multiple accounts simultaneously while maintaining organization and prioritizing tasks efficiently.
• Collaborated with internal teams to streamline financial processes and ensure accurate recordkeeping.
• Handled segregation and categorization of business expenses.
• Supported data gathering and documentation for preparation of financial statements and ROC filings.
• Monitored and managed timelines for all monthly statutory filings, including GST and TDS, ensuring timely compliance.

In the process of building data for the AI Palette Insight website, I focused on data discovery by gathering and curating relevant information across different countries and platforms. My efforts were primarily centered around industries such as food and beverage, and beauty and personal care. To ensure comprehensive insights, I explored a variety of sources, including e-commerce platforms, social media trends, and regional market reports. By analyzing data from diverse geographical locations, I aimed to identify consumer preferences, emerging trends, and market dynamics that could inform the AI-driven insights offered on the platform. This multi-country and multi-platform approach provided a holistic view of the global market, enabling the creation of more accurate and actionable insights for businesses in these industries.

Additionally, I implemented data validation and cleansing processes to ensure the accuracy and reliability of the datasets. This included removing duplicates, resolving inconsistencies, and standardizing formats to make the information compatible for AI models. Leveraging machine learning algorithms, I worked to enrich the data by identifying patterns, correlations, and forecasting trends in both food and beverage, and beauty and personal care industries. This iterative process of discovery, cleansing, and enrichment helped create a robust foundation for AI Palette Insight to generate actionable insights, enabling businesses to make data-driven decisions in a fast-evolving market landscape.

• Analyzed problems and worked with teams to develop solutions.
• Supported staff members in their daily tasks, reducing workload burden and allowing for increased focus on higher-priority assignments.