DIKSHA BAJPAI

• Warehouse Inventory Optimization: Collaborated with warehouse team to identify pain points and developed a data-driven Inventory optimization model, reducing excess inventory by 15% and improving stock availability by 9%.
• Warehouse Package Optimization: Optimized warehouse packaging processes by designing efficient packaging solutions, reducing packaging material costs by 11% and improving shipping space utilization by 5%.
• I-Qube-EV Defective Vehicle Prediction: Developed predictive model for I-Qube-EV to identify defective vehicles by analyzing telemetric, warranty, service and production data, reducing maintenance costs by 25% and improving vehicle uptime utilized machine learning algorithms to forecast potential failures, enhancing reliability of electric vehicles.
• EDA Automation tool (Infera-Hub): Designed and developed EDA Automation tool utilizing LLAMA Index, Lang chain, and ChatGPT 4 to streamline data exploration processes.

Client: Vodafone, Airtel, Ooredoo

• Recommender System: Built end to end Recommender System for Airtel group that provides customers with personalized next best offer recommendations based on their existing recharge plans, resulting in 04% increase in revenue using ML Algorithms.
• Similarly Developed for Ooredoo Group that offers customers latest accessories based on their existing handsets, resulting in 03% increase in revenue on quarterly basis using ML Algorithms.
• Customer churn Rate Prediction: Developed predictive model for customer churn that reduced churn rate by 03% for Airtel Group, using ML Algorithms.
• Code documentation: Built model for Code documentation using Generative AI large language models to manage tasks.

Client: Mercedes Benz, onsite

• AI Driven Testing Framework (AIDTF): Successfully built and delivered Data Science pipeline for product AI Driven Testing Framework (AIDTF) using ML algorithms.
• Managed overseeing hiring and professional growth of employees.

Client: Damco, Maersk

• Chat-Bot Implementation: Reduced 40% L1 team tasks by implementing Chatbot
• Sentiment Analysis: Developed and implemented natural language processing (NLP) algorithms for sentiment analysis and modelling on customer feedback data, resulting improvement in customer satisfaction index by 25%.

Client: IRCTC

Cash on Delivery option for IRCTC website:

• Responsible for evaluating serviceability of given area identified by pin code.
• Responsible for replicating existing page flows where user will enter Pin Code and we show whether that area is serviceable.
• Responsible for page workflow from when it lands on dispatcher servlet to when it evaluates and returns serviceability status.