Dinesh Kumar

Experience

• 

  Aditya Birla Housing Finance Limited

  Sept 2021 - Apr 2022

  Human Resources Intern

  • Collaborated with 4 cross-functional teams for updates on recruits and upcoming team events to streamline company-wide communication, enhancing employee engagement and efficiency• Maintained a real-time recruitment tracker to monitor the progress of hiring activities.• Collaborated closely with the Regional Human Resource Manager to manage vendors and streamline the hiring process.• Coordinated with search partners to establish a robust pipeline for filling open positions, ensuring a steady influx of qualified candidates.• Acted as the primary HR contact for branches in Delhi NCR, Punjab, Chandigarh, and Haryana, addressing employee queries promptly and ensuring timely resolutions.• Compiled MIS Trackers and shared them daily and as and when required• Managed employee training and talent development over 3 months while offering continuous mentorship on duties and practices• Initiated and analyzed exit interviews to identify trends, enhancing talent retention strategies and employee satisfaction Show less

• 

  McDonald's

  Apr 2023 - now

  • Lead training sessions to ensure team members understand correct processes, safety protocols, and McDonald’s quality standards• Encourage a positive work environment, motivate team members, and address any concerns to maintain morale and productivity• Ensure that food preparation and assembly meet McDonald's standards for quality, presentation, and consistency• Guide crew on customer interaction, problem-solving, and service etiquette to enhance the guest experience• Coordinate break schedules and station assignments to ensure a balanced workload and coverage during busy periods • Regularly check that team members are following safety and hygiene protocols, such as proper handwashing, food storage, and equipment cleaning• Assist with Inventory Management: Monitor stock levels, communicate shortages or surpluses, and ensure all ingredients are stored properly to prevent waste • Observe team members on the floor and provide constructive feedback to help them improve and develop • Address any conflicts or misunderstandings within the team in a professional and effective manner Show less • Skillfully prepared food on fry and grill stations for Breakfast, Lunch, Dinner, and Late-Night services• Assembled dishes precisely and efficiently during Breakfast, Lunch, Dinner, and Late-Night shifts• Expertly managed time on order tracker, ensuring smooth operations during Breakfast, Lunch, Dinner, and Late-Night shifts or with limited crew members• Executed diligent handover duties to ensure seamless shift transitions• Maintained a clean and organised store and kitchen area, including various maintenance tasks Show less

  • Crew Coach

    Nov 2024 - now

  • Crew Member

    Apr 2023 - Nov 2024
• 

  The University of Western Australia

  Nov 2023 - Feb 2024

  Incident Analyst Intern

  • Received comprehensive training on the Critical Incident Technique (CIT) under the guidance of a PhD candidate at The University of Western Australia• Learned to gather qualitative data through surveys or feedback and convert it into quantitative data for analysis using CIT• Explored practical applications of CIT, particularly in understanding negative customer behaviour and its reasons• Developed proficiency in coding and data conversion techniques, including meticulous data cleaning and variable identification• Enhanced analytical skills, attention to detail, time management, and written communication abilities through coding tasks• Collaborated with supervisor to review and refine coded variables, improving problem-solving and presentation skills• Mastered basic coding and scripting in SPSS for regression analysis, demonstrating self-initiative, independence, and resilience in learning new techniques• Gained insights into quantitative analysis and hypothesis exploration through process modelling and regression techniques Show less

• 

  MLG

  Jan 2025 - Mar 2025

  Data Analyst

  • Evaluated the effect of rainfall on ore transportation and haulage operations by developing predictive models using Random Forest and other machine learning techniques• Designed and implemented KNIME Analytics Platform workflows, replicating weather forecasting models initially developed in a previous project• Integrated KNIME workflows with SQL Server Management Systems to streamline data operations and automate model execution• Extended existing machine learning models by incorporating additional data from the data warehouse, improving prediction accuracy and refining the impact assessment model• Built an additional linear regression model to enhance predictive capabilities for operational planning• Collaborated with IT teams to manage large-scale data analysis workflows and optimize KNIME deployment• Worked alongside the internship team and IT department to successfully transition Python-based models into KNIME workflows, ensuring seamless integration within MLG Oz's systems Show less