Shweta Kulkarni

Responsible for conducting multiple E2E supply chain analyses for supply chain optimization and performance improvement in projects across various industries. Develop data visualization dashboards for multi-giants to prove business cases based on transactional ERP data, and master data Illustrate network transparency by building a supply chain network map highlighting different milestones in the distribution process from production to end customer

Thesis Objective: Modelling Spare Parts Demand Variability via Usage of Vehicle Population Data. Analyzing hidden demand patterns and their variations by using the Data-centric AI approach with the help of Python-Pandas. Engineering relevant features from the available vehicle-specific information in order to improve the forecast accuracy. Evaluating feature importance and determining the correlation between the engineered features by deploying a Machine learning algorithm.

Analyze marketing communications and product life cycle management from . Design launch strategies for emergent products and project potential price scenarios based on current product sales.

Responsible for concept development for new product development projects. Working on the design, engineering costing, and quality inspection of plastic connector housings for the local market. As a co-curricular activity, I am a leader for the women's cell organization 'I-Diva' which provides me a platform to explore leadership and communication skills with global senior leaders.

I am an MBA prospect currently studying at HTW Berlin specializing in Automotive Management. I am in the second semester studying Corporate Finance, Business Strategy, Project Management, Global Supply Chain management and Automotive Management as my core competencies.

I am a keen enthusiast of mechanical systems, designing, automobiles and a Mechanical Engineering graduate from India. Apart from the curriculum I participated in various inter-college technical competitions.