Aayushi Aggarwal

Managed a team of 60+ members with 5+ clients. Used Generative AI to train LLMs for text, audio and video data analysis. Implemented statistical modeling to analyze customer behavior and preferences, resulting in 78% more accurate product recommendations. Implemented agile project management methodologies, reducing project delivery times by 30% and increasing team productivity by 45%. Developed a data governance framework that ensured compliance with data privacy regulations, resulting in zero data breaches during my tenure. Developed forecasting visualizations in AWS QuickSight for spend and risk management, facilitating credit card users with insightful financial data to enhance informed decision-making and optimize budget allocation for increased fiscal efficiency.

Developed a robust machine learning pricing model for real estate companies in India, successfully achieving an accuracy rate of 94% on a comprehensive dataset containing 43,000 records. The model leverages algorithms to analyze various property attributes, market trends, and historical data, enabling precise and data-driven property valuations. Developed an AI chatbot by harnessing the capabilities of OpenAI's ChatGPT model and API. Integrated OpenAI API, configuring model parameters and fine-tuning conversational flows, followed by implementation of robust input handling and context management to ensure coherent and contextually aware responses. The result was a highly sophisticated chatbot that exhibited advanced natural language understanding and generation capabilities, effectively engaging users in complex and context-rich conversations across various domains.

Churn Prediction with an accuracy of 81% and recall of 76%, mapping geo-coordinates to optimize road routes, automation to increase transparency and sales performance, Time Series Analysis, redirecting orders to depots.

Led statistical data analysis and designed strategies by evaluating voting trends based on caste distribution.

Identify the optimum segments of the population that yield the highest customer acquisition for the company in terms of products such as Balance Transform Top-ups and EMI cards. Increase in overall outbound and inbound sales to 4.77% and 38.12% respectively. Forecasting optimum quantity of medical instruments that should be manufactured using AWS. Collaborating with vendors and cross-functional teams to fix & improve products and automate tasks through appropriate tools & scripts. Documenting development phases, monitoring systems, and ensuring software are up-to-date with the latest technologies. Determining operational feasibility & proposing solutions by assessing analysis. Improving operations by 60% by conducting systems analysis and recommending changes in policies & procedures.

Produced detailed and relevant reports used in business decisions by gathering data from the candidates.

Conducted data analysis on Products and Services to strategize for promotional campaigns.

In-depth knowledge in advanced mathematics, promoting research-oriented methodology which in turn enhanced the basic understanding behind machine learning algorithms and optimization techniques.

Dissertation focused on Developing Churn Prediction Model and Dealer Potential Framework for Manufacturing Industry. Skills gained include Business problem solving, Data Analysis, Data Visualization, EDA, Inferential statistics, Time series analysis, Class balancing, Multicollinearity, Implementation of Machine Learning, Model Selection, Report Writing, Presentation Skills.