S

Sree Vyshnavi Reddy Gangeyedula

Data Scientist

Bengaluru, Karnataka, India4 yrs 6 mos experience

Key Highlights

  • Led cross-functional teams to accelerate project delivery by 25%
  • Developed ML models improving decision-making speed by 40%
  • Built Power BI dashboards with 2000+ views from stakeholders
Stackforce AI infers this person is a Data Analyst with expertise in BI solutions and retail analytics.

Contact

Skills

Core Skills

It Business AnalysisPower BiRSqlAndroid DevelopmentFrontend Development

Other Skills

R studiotidyrshinydashboarddplyrplotlyleafletPySparkSQL Server Management StudioAndroidFlutterCascading Style Sheets (CSS)HTMLCSSData AnalysisPython

About

Senior Business Analyst skilled in managing client relationships and delivering ML powered end-to-end BI solutions to optimize retail analytics performance. Led cross-functional teams, trained junior analysts, and accelerated project delivery by 25%. Built Power BI dashboards that gained 2000+ views from 200+ stakeholders across 30+ markets. Developed ML models that improved decision-making speed by 40% across 100+ brand retailer combinations. Strong background in Python, Power BI, SQL, R, and retail analytics automation

Experience

4 yrs 6 mos
Total Experience
2 yrs 2 mos
Average Tenure
2 mos
Current Experience

7-eleven global solution center – india

Senior Data Analyst

Mar 2026Present · 2 mos · Bengaluru, Karnataka, India · Hybrid

Analitica

3 roles

Associate Consultant

Nov 2025Feb 2026 · 3 mos

Senior Business Analyst

Promoted

Feb 2025Oct 2025 · 8 mos

PowerBiIT Business AnalysisPower BI

Business Analyst

Nov 2023Feb 2025 · 1 yr 3 mos

Brillio

2 roles

Data Analyst

Aug 2021Oct 2023 · 2 yrs 2 mos

  • Developed and maintained interactive Shiny applications using R and advanced packages including shinydashboard, dplyr, tidyr, plotly, and leaflet for enhanced data visualization and user interface capabilities.
  • Optimized SQL query performance by converting inefficient queries into streamlined R scripts, reducing execution time from 8 to 4 seconds and improving overall application responsiveness by 50%.
  • Developed performance monitoring script using ggplot2 and shinydashboard to visualize and analyze app execution times across various inputs and action button triggers, enabling targeted code optimizations that improved user interaction efficiency by 20%.
  • Created interactive geospatial visualizations using leaflet package with dynamic maps, markers, and data circles, improving location-based analysis capabilities for business stakeholders.
  • Built comprehensive logging system using logger package to monitor SQL query response times, facilitating performance optimization and reducing system downtime by 15%.
  • Troubleshot and debugged Shiny applications, resolving critical issues related to interactivity, data rendering, and user experience to ensure high system reliability.
R studiotidyrR

Analytics Practitioner

Aug 2021Jan 2022 · 5 mos

PySparkSQL Server Management Studio

Kings marque security services

App Developer

Aug 2020Oct 2020 · 2 mos · India · On-site

  • Served as an app developer in the construction of the KAAMJHAM Workforce Management System Android app, employing the Flutter framework.
  • With Flutter's extensive widget library and cross-platform capabilities, I was able to create a visually appealing and highly interactive mobile application.
Android DevelopmentAndroid

Digi - maa

Frontend Developer

Mar 2020May 2020 · 2 mos · India · On-site

  • Developed a fully functional front-end for DIGI MAA website from scratch based on the provided design using HTML and CSS.
  • Translated design mockups into responsive and interactive web pages, ensuring cross-browser compatibility and accessibility.
Cascading Style Sheets (CSS)HTMLFrontend Development

Education

Nitte Meenakshi Institute of Technology

Bachelor of Technology - BTech — Computer Science

Aug 2017Jul 2021

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