Navin Agrawal

Background

About Navin Agrawal

An accomplished professional with nearly a year of experience at Swiggy as a Team Lead and 3 months as a Machine Learning Engineer. Demonstrated expertise in data visualization, supply chain analytics, and data manipulation using Python, SQL, and Excel. Proficient in leveraging Power BI and cloud platforms to derive actionable insights and drive operational excellence. Known for strong soft skills, effective delegation, and a focus on process optimization, I excel in fostering team collaboration and delivering strategic solutions in high-pressure environments. Key Skills Data Analytics: Expert in analyzing complex datasets to derive meaningful insights and support data-driven decision-making. Machine Learning: Practical experience in developing and implementing ML models to solve business problems. Supply Chain Analytics: Proven ability to streamline operations and optimize supply chain processes. Data Visualization: Skilled in creating intuitive and impactful visualizations using Power BI and other tools. Technical Proficiency: Advanced knowledge of Python, SQL, Excel, and cloud platforms. Process Excellence: Track record of improving operational efficiency and reducing costs through process optimization. Soft Skills: Strong leadership, communication, and delegation abilities, ensuring effective team management and project execution. Professional Experience Team Lead, Swiggy Duration: Almost 1 year Led a team to achieve operational and process excellence in supply chain management. Utilized data analytics to forecast and plan supply chain activities, ensuring optimal resource allocation and efficiency. Developed dashboards and reports using Power BI to visualize key performance metrics and inform strategic decisions. Machine Learning Engineer, Quantiphi Analytics Duration: 3 months Implemented machine learning models to address client-specific challenges. Conducted data preprocessing and analysis using Python and SQL. Collaborated with cross-functional teams to integrate ML solutions into business processes. Education Relevant coursework and certifications in Machine Learning, Data Science, and Supply Chain Management. Personal Attributes Highly analytical with a keen eye for detail and a passion for continuous learning. Adaptable and able to thrive in dynamic, fast-paced environments. Effective communicator with the ability to convey complex technical concepts to non-technical stakeholders.