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Jeevisha Gv

@jeevishagv

Business analytics MBA candidate who developed a KNIME classification model to predict prospective students’ admission decisions.

India

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What I'm looking for

I’m seeking an entry-level opportunity in Business Analytics, Data Analytics, Business Intelligence, or Consulting.

In my MMU Prospective Student Conversion Rate project, I developed a KNIME classification model to predict whether prospective students would accept or reject admission offers. I followed the CRISP-DM framework and prepared the data using preprocessing, feature transformation, and class-imbalance treatment.

At MaduraPET Polymers Pvt. Ltd., I assisted with product marketing and catalogues for PET bottles and jars, and supported website development by preparing product descriptions and listings. I’m building on my MBA studies in Business Analytics with skills in Excel, SQL, Power BI, Tableau, and Python.

Experience

Work history, roles, and key accomplishments

Sales & Business Development Assistant

MaduraPET Polymers Pvt. Ltd.

Assisted with product marketing and preparation of product catalogues for PET bottles and jars. Supported website development and online business promotion to improve digital presence.

Product Marketing Product Catalogs Web Development Digital Marketing Communication Skills

Education

Degrees, certifications, and relevant coursework

Illinois Institute of Technology

Master of Business Administration, Business Analytics

2024 -

Pursuing an MBA in Business Analytics with a focus on business intelligence and data analytics.

Mepco Schlenk Engineering College

Bachelor of Engineering, Electrical and Electronics Engineering

2020 - 2024

Completed a Bachelor of Engineering in Electrical and Electronics Engineering.

Power BI

Power BI Certification, Business Intelligence

Certification in transforming raw, disconnected data sources into organized, interactive, and actionable business insights.

KNIME

KNIME Certification, Data Analytics

Grade: 80%

Passed the KNIME Certification L1 examination with a score of 80%, covering data preparation, machine learning, clustering, data visualization, and reporting.