Letting Data Speak!
Data Science (AI/ML)
Case Studies
AI Model for Retail Shelf Monitoring
JashDS revolutionized retail shelf management for a major grocery chain by developing an AI-powered real-time monitoring system. The solution utilized advanced computer vision techniques and deep learning models to detect out-of-stock and misplaced products, significantly improving inventory accuracy and enhancing the customer shopping experience while reducing manual labor costs.
AI-Powered Tyre Dimension Extraction System
JashDS developed an AI-powered computer vision system for a leading automotive e-commerce platform, enabling accurate extraction of tire dimensions from images. The solution, which increased conversion rates by 25% and reduced customer support inquiries by 80%, utilized advanced technologies such as YoloV8 for instance segmentation and custom-designed augmentation techniques to simplify the online tire purchasing process.
Data-Driven Marketing Strategy Transformation
JashDS revolutionized a travel company's marketing strategy by implementing advanced machine learning models, resulting in a 20% reduction in marketing costs and a 20% increase in passengers served. The solution integrated customer interaction scoring, product ranking, and lifetime value prediction to deliver highly personalized marketing experiences and optimize resource allocation across various customer touchpoints.
AI-Driven Candidate Screening Revolution
JashDS revolutionized a company's hiring process by developing a GenAI-powered candidate screener that reduced time-to-hire by 50% and improved hiring outcomes. The solution leverages advanced language models to conduct dynamic, role-specific interviews, automatically generating and adapting questions based on job descriptions and candidate responses.
AI-Powered YouTube Video Highlights and Interactive Q&A
Leveraging GenAI and NLP technologies, we developed a system that generates engaging video highlights from YouTube podcasts and provides an interactive Q&A chatbot, reducing viewing time by 80% and increasing user engagement through personalized content interaction.
Enhancing Spiritual Education with AI-Powered QA System
JashDS revolutionized spiritual education for a prominent foundation by developing an AI-powered QA system and implementing a Langsmith-based evaluation pipeline that reduced development time. The solution incorporated advanced NLP techniques, including experimentation with embedding models and chunk sizes, paving the way for enhanced information retrieval and a more interactive learning experience for devotees.
Revolutionizing Personal Loans with AI-Driven Underwriting
A leading Indian personal loan provider revolutionized their underwriting process by leveraging AI and machine learning to automate 80% of loan decisions. By integrating social and financial data into a sophisticated predictive algorithm, the company drastically reduced decision times to seconds expanded access to underserved segments, and achieved lower default rates compared to human underwriters.
AI-Powered Resume-Job Matching Engine
JashDS developed an AI-powered resume-job matching engine for a leading Indian job portal, processing over 1M resumes and 50k job descriptions. The solution employed BERT embeddings and HNSW algorithms to create personalized job recommendations for candidates and streamline resume screening for recruiters, significantly enhancing the job search and recruitment processes.
Analyzing Customer Churn: Uncovering Insights Through Conversation Data
JashDS reduced customer churn by 10% for a gender-affirming healthcare platform by leveraging AI-driven analysis of conversation data, identifying key pain points, and providing actionable insights to improve service offerings and retention strategies.
Intelligent OCR for Utility Billing Digitization
A German utility invoicing company streamlined their billing process using an Intelligent OCR solution, increasing form processing throughput by 60% and achieving over 90% accuracy. The system leveraged advanced Computer Vision and Deep Learning models to automate form classification, data extraction, and validation while providing a secure and scalable cloud-based infrastructure.