Maresline Papy FX

Final Project - Creating AI tool for Restaurants Food wastage

AI-powered Solution

• Predictive analytics: Use machine learning algorithms to predict food demand and supply.
• Inventory management: Optimize inventory levels based on predicted demand.
• Menu planning: Suggest menu items based on ingredient availability and demand.
• Supply chain optimization: Optimize supply chain operations to reduce waste.

Key Features

• Real-time monitoring: Track food waste generation in real-time.
• Automated reporting: Generate reports on food waste generation and reduction.
• Alerts and notifications: Send alerts and notifications for inventory management and waste reduction.
• Integration with existing systems: Integrate with existing restaurant management systems.

Benefits

• Reduced food waste: Minimize food waste generation and reduce costs.
• Improved inventory management: Optimize inventory levels and reduce overstocking.
• Enhanced sustainability: Contribute to a more sustainable food system.
• Increased profitability: Reduce costs and increase profitability through efficient inventory management.

Project - GenAI-powered Review Categorization

1. Developed a GenAI-powered review categorization system that accurately classified customer reviews into predefined categories.
2. Utilized natural language processing (NLP) techniques to extract insights and sentiment from customer reviews.
3. Implemented a machine learning model that achieved high accuracy in categorizing reviews and assigning priority levels.
4. Designed and developed a system that provided suggested actions for each review based on its category and priority level.
5. Successfully integrated the system with popular review platforms and APIs, enabling seamless data exchange.

Project - Discovering Patterns in Data

1. Applied data mining and machine learning techniques to discover hidden patterns and trends in large datasets.
2. Developed and implemented data visualization tools to effectively communicate insights to stakeholders.
3. Utilized statistical analysis and data modeling techniques to identify correlations and relationships between variables.
4. Created predictive models that accurately forecasted future trends and patterns in the data.
5. Presented findings and insights to stakeholders, informing business decisions and driving strategic initiatives.

Project - Classification with Ensemble Techniques and Neural Networks

1. Developed and implemented ensemble techniques, such as bagging and boosting, to improve classification accuracy.
2. Designed and trained neural networks to classify complex datasets with high accuracy.
3. Utilized feature engineering techniques to select and transform relevant features for classification.
4. Evaluated and compared the performance of different classification models, including ensemble techniques and neural networks.
5. Achieved high accuracy in classification tasks, demonstrating expertise in machine learning and deep learning.

Project - Building POC for AI Projects & Data Modeling

1. Designed and developed proof-of-concepts (POCs) for AI projects, demonstrating feasibility and potential impact.
2. Utilized data modeling techniques to design and implement data structures that supported AI model development.
3. Developed and implemented data pipelines to collect, process, and transform data for AI model training.
4. Collaborated with stakeholders to identify business requirements and develop POCs that met those needs.
5. Successfully demonstrated the value and potential of AI solutions, driving further investment and development.

• Enhanced client satisfaction by ensuring timely communication and addressing their needs promptly.
• Successfully managed multiple projects simultaneously by prioritizing tasks according to urgency, resource availability, and alignment with organizational goals.
• Managed risk assessments and implemented mitigation strategies to minimize potential issues during project execution.
• Maintained accurate records of studio usage statistics, aiding in data-driven decision making for future improvements.
• Coordinated with creative teams to meet project deadlines, optimizing project management processes.
• Assisted senior management in identifying areas of improvement by regularly reviewing internal processes and providing constructive feedback.
• Championed the integration of advanced analytics tools and techniques into existing business processes to unlock new revenue opportunities and drive growth.

• Managed cross-functional team of 10 in different locations (India, APAC and BAU UK and BAU US), ranging from entry-level operators to project managers, and collaborated with business development, and operations.
• Launched, Tag Academy with the Chief staff officer, recruited and managed new team of 15 Freshers; grew office revenue by 100% in first six months (representing 10% of company revenue)
• Designed training and peer-mentoring programs for the different level of experienced people in 2021; Mainly focused on the freshers for 3 months to work with the process and train them on standards of production that reduced onboarding time for new hires by 50%
• Communicating with the stakeholders and the clients to get a clear picture on the progress of upcoming projects, which helps to plan the training programs and improvise the technical team based on the requirement.
• Handling APAC clients independently with a team of 4+ IT Experts, including 1 Developer and 2 UX Designers. Establishing new accounts in the same region by demonstrating work quality.
• Implementing cornerstone project involving CMS transition for the biggest client ($30M of Est, value)
• Promoted within 12 months due to strong performance and organizational impact (1 year ahead of schedule)
• Delivered 99% of the Jobs on time and have received positive feedbacks from the clients.

• Liaised with the testing team for testing the website and ensuring effective and efficient project delivery for the client.
• Engineered dynamic component for an app in which the students from grade 6 to 12 with different syllabus and with 5 different major subjects, including virtual classes, examinations, downloadable materials to learn the subject.

• Spearheaded all design elements, templates, brand consistency. Developing the web pages.
• Completed projects an average of 10% before deadline.
• Boosted UX scores by 25% above average for the company.