Summary
Overview
Work History
Education
Skills
Timeline

Srivyshnavi Maganti

New Haven,CT

Summary

Experienced professional with a strong background in client management, marketing, and data analysis. Leveraged expertise during three years at Darwinbox, driving client success through seamless onboarding, issue resolution, and user adoption strategies. Enhanced brand visibility and lead generation as a marketing intern at Andiamo. Delivered actionable insights as a sports analyst at Nielsen Sports, utilizing data-driven strategies to support organizational goals. Adept at managing diverse responsibilities, fostering client relationships, and delivering measurable results across industries.

Overview

4
4
years of professional experience

Work History

Marketing Analyst

AndiamoUsa
Austin, TX
05.2024 - 08.2024
  • Successfully implemented multi-channel marketing strategies, driving a 150,000+ increase in social media impressions and generating 200+ qualified leads for client events
  • Partnered with cross-functional teams and Marketing Executives to align field marketing efforts with sales objectives, enhancing client demand and contributing to revenue growth
  • Demonstrated strong organizational and time-management skills by effectively managing marketing initiatives across diverse locations and schedules in dynamic environments.
  • Utilized CRM tools to monitor lead nurturing processes, ensuring timely follow-up actions were taken by appropriate team members.

Product Specialist

Darwinbox LTD
Hyderabad
10.2020 - 07.2023
  • Directed end-to-end implementation processes, ensuring seamless integration of solutions for over 20 clients
  • Tailored onboarding strategies to align with each client’s operational requirements, ensuring optimal system setup and user satisfaction
  • Managed and resolved over 50 client queries using Jira, liaising with product development and DevOps teams to address complex challenges
  • Consistently prioritized client needs, achieving timely resolutions and minimizing service disruptions
  • Acted as the primary client liaison, delivering exceptional customer service by addressing inquiries and resolving technical issues efficiently
  • Received ongoing recognition for responsiveness and ability to build long-term client trust
  • Partnered with DevOps, Product, and Engineering teams to develop and implement tailored solutions, ensuring alignment between product capabilities and client goals
  • Delivered tailored product training programs, increasing user adoption rates by empowering client teams to maximize solution benefits
  • Organized workshops and created resource materials to ensure smooth transitions and knowledge retention
  • Facilitated API configuration and integration of third-party applications, enabling seamless data flow across systems
  • Addressed technical challenges through close collaboration with client IT teams and internal developers
  • Established structured feedback mechanisms, gathering client insights to drive continuous product enhancement
  • Collaborated with development teams to deliver updates that better aligned with customer requirements.

Junior Analyst

Nielsen Sports
Bangalore
10.2020 - 05.2021
  • Data Collection & Statistical Analysis: Collected and interpreted large datasets to identify key patterns and trends, guiding strategic decision-making and improving operational efficiency
  • Performance Optimization: Analyzed performance metrics to uncover improvement areas and implemented optimization strategies that enhanced workflow effectiveness
  • Insights & Strategy Development: Leveraged statistical modeling to derive actionable insights, contributing to the creation of data-driven strategies that bolstered team and organizational performance
  • Key Achievements:
  • Recognition for Excellence in Client Support: Received multiple commendations from clients and internal stakeholders for consistent excellence in support quality, showcasing strong client focus and adaptability to their needs
  • Increased Query Resolution Efficiency by 50%: Actively managed and resolved over 50 Jira queries, working closely with DevOps to solve complex client issues and ensuring high service standards
  • PROJECTS&CONTRIBUTIONS
  • Port Authority of NY & NJ Data Analysis
  • Trend Analysis and Forecasting: Conducted in-depth analysis of historical transportation data using Excel and Power BI to identify passenger volume patterns and peak usage times
  • Machine Learning Model Development: Built a predictive machine learning model achieving 95% accuracy, enabling the Port Authority to forecast daily bus departures and passenger counts accurately
  • Predictive Insights: Provided critical insights for the Port Authority, including an accurate forecast for 129,000 passengers on a specific day, aiding in capacity planning and resource allocation
  • Optimization of Operational Efficiency: Offered data-driven recommendations to optimize bus schedules and staffing needs, reducing wait times and improving service quality
  • Data Visualization: Designed intuitive Power BI dashboards that visualized key metrics and trends, enhancing stakeholder accessibility to real-time data insights
  • Data Analytics for Supermarket Profit Management (Tesco)
  • Real-Time Dashboard Development: Created an interactive profit monitoring dashboard that updates in real-time, empowering over 50 store managers with timely financial insights for effective decision-making
  • Profitability Analysis: Conducted comprehensive data analysis to identify critical revenue-impacting factors, such as inventory turnover, sales by category, and pricing strategies, that directly influenced store profits
  • Strategic Reporting and Recommendations: Generated detailed reports for senior management, outlining data driven strategies to improve profit margins by addressing underperforming areas and capitalizing on high-margin opportunities
  • Optimization of Profit Margins: Formulated actionable insights that helped Tesco boost overall profitability across 25 branches, focusing on factors like optimized inventory levels and pricing adjustments
  • Identification of Missed Opportunities: Analyzed revenue data to highlight potential growth areas, allowing management to implement targeted actions and drive profitability improvements
  • Enhanced Data Accessibility: Developed user-friendly dashboards, making complex data more accessible to nontechnical users and ensuring insights were easily actionable by branch managers and executive

Education

Master of Science - Business Analytics

University of New Haven, New Haven, CT
01.2025

GPA: 3.6/4.0

MBA - Business Administration, Business Analytics

Dayanand Sagar University, Bangalore India
06.2022

GPA: 3.6/4.0

Bachelor’s - business administration

Mount Carmel College, Bangalore, India
04.2018

GPA: 3.62/4.0

Skills

  • Languages:
  • Python, R
  • Databases:
  • MySQL, Microsoft SQL Server, Tableau, Power BI
  • Soft skills: Client management implementation, end to end client management, Customer success
  • Expertise in excel

Timeline

Marketing Analyst - AndiamoUsa
05.2024 - 08.2024
Product Specialist - Darwinbox LTD
10.2020 - 07.2023
Junior Analyst - Nielsen Sports
10.2020 - 05.2021
University of New Haven - Master of Science, Business Analytics
Dayanand Sagar University - MBA, Business Administration, Business Analytics
Mount Carmel College - Bachelor’s, business administration
Srivyshnavi Maganti