Khushi Soudha

Proficient in PowerBI, MY SQL, Python and data visualization. Analytical thinker with a passion for transforming complex data into meaningful insights. Eager to contribute to data-driven decision-making.

Throughout the entire internship tenure and course at Innomatics Research Labs, I have successfully completed various projects and tasks assigned in time, including:

Data-Driven Insights for Pizza Store Operations:

• Developed and implemented a data analysis project aimed at improving delivery performance and revenue management for a pizza store.
• Utilized Python and data analysis techniques to analyze customer order data, delivery times, and revenue streams.
• Identified key insights and trends, such as peak ordering times, popular menu items, and delivery route optimizations, leading to improved operational efficiency and increased profitability for the store.

Development and AWS Inference of Sentiment Prediction Model:

• Led the development of a sentiment prediction model using Python and machine learning techniques.
• Deployed the trained model as part of a Flask web application on an AWS EC2 instance, enabling real-time inference and user interaction.
• Implemented AWS services for scalability and reliability, showcasing proficiency in cloud deployment and infrastructure management.

Blog Publications:

• Authored insightful blog posts on topics such as language modeling and navigating the GenAI frontier.
• Explored emerging trends and challenges in artificial intelligence, showcasing a deep understanding of AI technologies and their implications.
• Published articles aimed at informing and engaging a wide audience on complex topics in data science and AI.

Building Apps Powered by RAGs:

• Developed a RAG (Retrieval-Augmented Generation) system using the LangChain framework.
• Integrated the capabilities of Large Language Models (LLMs) like Gemini 1.5 Pro with external data sources to enhance information retrieval and generation.
• Demonstrated strong technical skills and innovation in leveraging cutting-edge technologies for enhanced data processing and application development.

Enhancing Search Engine Relevance:

• Developed a semantic-based search engine using innovative strategies such as document chunking and embedding's storage in ChromaDB.
• Implemented techniques to optimize performance and scalability of the search engine, resulting in improved relevance and efficiency of search results.
• Demonstrated strong problem-solving skills and technical expertise in data processing and search engine optimization.

Data Science course, currently enrolled for Data Science course in @Innomatics Research Labs.

Title: Aspiring Data  Science

IBM Machine Learning with Python Certificate

Successfully completed the IBM Machine Learning with Python course, gaining expertise in using Python for machine learning tasks, further enhancing proficiency in data analysis and predictive modeling techniques.

Internship Journey at Innomatics Research Labs

• Intern ID: IN1241038
• Duration: January 24, 2024, to April 24, 2024
• Successfully completed internship at Innomatics Research Labs, gaining hands-on experience in data science projects and tasks.

Letter of Recommendation:

• Received a glowing recommendation from [Name/Institution], highlighting exemplary performance and dedication during an internship at [Company/Institution], showcasing strong problem-solving abilities and technical skills essential for the role of a data scientist.

Completed an enriching one-month internship journey with @Cognifyz Technologies !

Completed an enriching one-month internship journey with @Bharat Intern!

also Completed an enriching one-month internship journey with @CodeSoft!