JAANHAVI BANSAL

Eicher Motors Ltd. Karnal · May 2025 – August 2025

• Applied principles of industrial engineering and economics to analyze production efficiency and resource utilization on the shop floor.
• Conducted time-motion studies and supported line balancing to optimize throughput and reduce idle time.
• Gained hands-on experience in lean manufacturing practices, such as 5S, Kaizen, and waste minimization.
• Evaluated production data through an economic lens to assess cost drivers, process efficiency, and value-added activities.
• Collaborated with cross-functional teams to understand the impact of operational decisions on overall productivity and cost-effectiveness.

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Data Science Intern.

• Collaborated with the Pickl.ai team to apply machine learning and data science concepts in real-world use cases, including data preprocessing, exploratory data analysis, and model building.
• Gained hands-on experience with supervised and unsupervised learning techniques, including linear regression, logistic regression, decision trees, clustering, and classification models.
• Participated in regular mentorship sessions and coding assessments to improve problem-solving and algorithmic thinking.
• Presented project findings and model performance metrics in a final review session with mentors, emphasizing interpretability and real-world applicability.
• Developed a foundational understanding of deploying ML models, data pipeline creation, and version control using Git.