Aravinda Kumar Koteeswaran

• Developed automation tools in Python and Excel that streamlined project tracking and reporting processes, reducing reporting time by 95% • Coordinated updates from Finance, IT, and Enterprise Analytics teams to ensure alignment and enable effective review meetings • Conducted in-depth analysis of over 200 strategic IT project backlogs using SAP Analytics Cloud (SAC) and Excel, enabling successful resolution and closure

• Conducted in-depth analysis of SAP partners' cloud materials to identify actionable insights, supporting strategic decision-making processes using Excel • Managed the end-to-end product lifecycle for SAP Sunset materials, coordinating with Communications, Legal, and Order-to-Invoice departments to ensure smooth product restructuring or removal • Prepared and presented strategic insights and recommendations to middle and top management, enhancing the team's market intelligence activities

• Selected for the prestigious 6-months exclusive program by McKinsey & Company, based on academic excellence and leadership potential • Earned the Forward Program by McKinsey Academy, mastering essential consulting skills such as structured problem-solving, stakeholder communication, and decision-making under uncertainty • Contributed to real-world business case simulations and peer learning sessions to refine strategic thinking

• Developed market analysis strategies, customer segmentation, internal analysis and external analysis for Kärcher’s market entry problem statement • Streamlined the critical KPIs for the problem statement using frameworks to identify competitive advantage • Final analysis of the project study was presented to Kärcher management by creating slide decks, which include various research entities to potentially increase Kärcher’s revenue by market entry up to 20%

• Administrated the daily data analysis of exclusive SAP Partner’s services and licensing data using Excel • Communicated the solutions to the problem statement using the findings from the analysis and presented the strategic insights through interactive dashboards using PowerBI • Contributed to the Non-Commercial Licensing department by monitoring SAP licensing services to the clients using SAP partner servicing software, thereby enhancing partner satisfaction by up to 30%

• Validated a live project and trained in the basics of corporate finance, financial risk management, cash and liquidity, and supply chain management and earned one month of training and one month of internship • Collected and compared the financial data with the forecast to evaluate the present-day financial condition among the 3 departments • Conceptualized the crucial decisions made in the company with analysed financial condition data which lead the profit margin to grow over 30% in the next month

• Supervised the students’ reports and supported all the needs of the students within a 5-person advisor team and directed events and workshops for students to participate in and to build a friendly environment • Administrated environmental relationships among almost 500 students ensuring safety and rule compliance

• Completed 8 months of boot camp for learning in-depth algorithms in Machine Learning, Artificial Intelligence and Deep Learning • Coded algorithms using Python, SQL, Power BI, Data Analysis, Neural networks, Machine Learning and Deep Learning algorithms • Acquired knowledge implementing more than 5 frameworks like Scikit-learn, PyTorch, TensorFlow and, OpenCV • Implemented the algorithms in more than 10 projects in the domain of Manufacturing, Marketing, Banking, and E-commerce domains

• Recruited workers employed among 2 departments (manufacturing and supply chain) and examined a sync between the resources and the manufacturing of the car engine • Established the product strategies for the manufacturing team which reduced almost 20% of the time consumed in changing the die • Co-ordinated with the Marketing department and analysed the opportunities for the company in the local market and expanded local sales with an increase of 15% by optimising marketing budget allocation

Grade: 1.7 • Activities and societies: Currently member of Buddy Program in helping incoming students of TUM • Demonstrated talent and skills as a member of the Event Management team for the student council in TUM • Demonstrated talent and skills as a member of the Event Management team for the student council in TUM • 2x Deutschlandstipendium and TUMselect Networking scholarship holder

• Audited the first semester of the course • Audited Modules: Robotics System Engineering, Robotics Control Theory, Machine Vision, ML for Visual Computing

Grade: 93.6%, First Class • Achieved First class and honors with an overall score of 93.6%, GPA: 1.3 (Top 1%) • Main Modules: Elasticity and Strength, Production Professional Practice, Basics of Robotics, Basics of Mechatronics, Mechatronics Systems, Electrical Engineering and Electronics, Mathematics, Dynamics