NEHA KUMARI

Accomplished professional with a strong foundation in electronics, telecommunications, and information systems, complemented by certification in advanced data science. Demonstrated expertise in academic mentorship, project management, and freelance consulting. Skilled at seamlessly integrating technical knowledge with business insights to effectively solve complex problems. Recognized as a strong communicator, driving successful cross-functional initiatives. Passionate about continuous learning and staying ahead of industry trends to deliver impactful solutions consistently.

• Advanced Certification in Data Science, UpGrad with International Institute of Technology, Bengaluru, 04/01/22, 01/31/23
• Business English Certification (Cambridge), CVRGU, 2017
• Vocational Training, BSNL, 2017
• Practical Training, Steel Authority of India Ltd., 2016
• Embedded Systems and Robotics, CVRGU, 2016

• Paper Presentation: Participated in the National Conference on Recent Technological Advancements, CVRGU.
• Literary Accomplishments:1st position in inter-school poetry competition and top 5 in inter-college competition.
• Leadership: Representative of the literary club; organized and participated in various high school and university events.
• Content Creator, with a keen interest in arts, music, and literature.

-Electric Vehicle Project: Python tools to identify various findings about the number of electric vehicles used in the United States and why it is advised to buy an electric vehicle based on the findings.

-Exploratory Data Analysis in Business Scenario: This project aims to identify patterns that indicate if a client has difficulty paying their installments which may be used for taking action

-Smart Electronic Voting Machine: Designed an electronic voting machine using Arduino and LCD display, aimed at reducing fraud in the manual voting process.

-RSVP Movie Study: As a data analyst and an SQL expert used SQL to analyze the given data and gave recommendations to RSVP Movies based on the insights.

-Performed OLAP in retailer business case study.