Nilesh Kharatmol

Experience

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  ENTELLISOFT TECHNOLOGIES INDIA PRIVATE LIMITED

  Aug 2019 - Feb 2023

  Software Test Engineer

  • Prepared a traceability matrix, mapping use cases to test cases, ensuring alignment with project requirements.• Demonstrated expertise in Web Services, REST, and API Testing, contributing to the successful execution of 500+ API tests.• Possess solid knowledge of SQL and scripting, enhancing efficiency in data validation and test automation.• Applied knowledge of CI/CD processes, ensuring seamless integration and continuous delivery.• Managed the utilization of JIRA for regular project tracking, ensuring efficient task management, progress monitoring, and seamless collaboration within the team.• Generated 300+ test scenarios and test cases, providing comprehensive test coverage. Show less

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  FlexM

  Feb 2023 - Sept 2023

  Scrum Master/Senior QA Engineer

  • Enhanced UI and system performance based on user feedback, resulting in the successful launch of a long-stalled project that had been delayed for 24 months.• Led a team of eight junior testers, achieving on-time project delivery with a 98% success rate.• Developed Automation Test Scripts in JAVA and Selenium, contributing to a 25% improvement in overall testing efficiency.• Conducted API testing using Postman and SOAPUI, performing over 300 API tests, achieving a 30% improvement in API testing comprehensiveness.• Identified and prepared automation test scripts for scope automation test requirements, assisting the automation lead in planning and prioritising, contributing to a 15% increase in automation coverage. Show less

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  BURGER KING UK

  Jan 2024 - now

  Restaurant Crew Member
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  ARO Scientific Ltd

  May 2024 - Dec 2024

  Project Intern

  1. Demand Forecasting Model Development: Developed and implemented five advanced demand forecasting models (ARIMA, XGBoost, Exponential Smoothing, Prophet, Moving Average) to optimize inventory management for ARO Scientific Ltd, achieving predictive accuracies ranging from 70% to 98% across different product categories.2. Data Analysis and Integration:Leveraged API integrations with Odoo ERP to extract and preprocess sales data, designing data pipelines that improved data retrieval efficiency and ensured the integrity of historical sales records.3.Quantitative and Qualitative Research:Conducted a comprehensive literature review on machine learning and deep learning methodologies for demand forecasting, providing a theoretical foundation for model selection and implementation strategies.4.Business Intelligence Dashboard Creation:Designed and deployed a Dash application for real-time visualization of sales forecasts and inventory depletion, enabling stakeholders to make informed supply chain decisions and enhancing overall operational efficiency.5.Statistical Analysis and Model Evaluation:Utilized statistical metrics (e.g., RMSE, MSE) to evaluate model performance, conducting comparative analyses to refine forecasting techniques based on product demand characteristics and sales patterns.6.Operational Recommendations for Inventory Management:Delivered actionable insights on inventory levels and stock management, substantially reducing risk of stockouts and optimizing production planning processes.7.Application of Machine Learning Techniques:Explored and showcased the applicability of machine learning models (e.g., XGBoost) in overcoming forecasting limitations posed by traditional linear models, enhancing accuracy in a dynamic market environment.8.Proactive Problem-Solving:Addressed challenges related to API limitations and data integration, proposing medium and long-term strategies to improve data synchronization. Show less