Nandita Vesangi

Summary

Strategic and results-driven professional with a master’s in business Analytics and a bachelor’s in business administration. Over 1 year of experience in relationship management, project management, and strategic collaborations, with proven success in driving business objectives. Proficient in developing and implementing data-driven insights, optimizing marketing strategies, and managing high-profile partnerships. Seeking to leverage analytical skills and collaborative approach as a Collaborations Manager to drive successful design collaborations and achieve organizational goals.

Overview

years of professional experience

Work History

Data Analyst

Sadup Soft Tech.

Hyderabad, India

06.2021 - 06.2022

Managed relationships with 15+ clients, resulting in increased site visits by 20% and customer acquisition by 25%
Synthesized data insights to optimize website performance, leading to a 13% improvement in session duration and a 5% decrease in bounce rate
Developed targeted marketing strategies based on data analysis, contributing to increased customer engagement and conversion rates
Created interactive visualizations on Tableau to communicate key insights to clients, simplifying understanding and decision-making
Identified and introduced innovative solutions to anticipate client needs, reducing customer churn by 18%

Marketing analyst intern

Laugh Out Loud Pvt ltd

Mumbai, India

10.2018 - 04.2019

Conducted market research to identify target demographics and analyze competitors, increasing market penetration by 10%
Collaboratively developed and executed creative campaigns, driving a 10% increase in brand awareness and a 15% rise in customer engagement
Tracked and analyzed campaign performance metrics, yielding a 20% increase in campaign effectiveness

Education

Master of Science - Business Analytics

University of Texas

Dallas Richardson, TX

05.2024

Bachelor of Business Administration -

SRM University

Amaravati, AP

05.2021

Skills

Python, R Programming, Java, JavaScript, SQL, Regression, Classification, Neural Networks, Sentiment Analysis, Text Classification, Information Extraction, Apache Hadoop, Apache Spark (PySpark), Power BI, Tableau, MS Excel, Agile, SDLC, CICD, Unit Testing, Automation Testing (Selenium and TestNG), OOP, Design Pattern, Quantitative Skills, Investing Industry Knowledge, Multilingual Communication

Personal Projects

EY Data Challenge:

Pioneered the Radar Vegetation Index (RVI) method, enhancing rice crop monitoring precision in Vietnam by 20%.
Optimized analysis for a 5x5 pixel region, increasing key vegetation indicator detection accuracy by 25%.
Utilized a Voting Classifier model, achieving 93% accuracy in rice crop identification, a 43% increase from the initial baseline

Accomplishments

Graduate certificate in applied machine learning from the University of Texas at Dallas.

Timeline