Summary
Overview
Work History
Education
Skills
Timeline
Generic

Gangga Kalyaan Patapanchala

Jersey City,NJ

Summary

I am deeply committed to achieving excellence in business analytics by leveraging advanced tools to deliver measurable impact. With a Master’s in Business Intelligence and Analytics and nearly four years of experience across e-commerce, manufacturing, and financial services, I specialize in building dashboards, automating workflows, and delivering insights that drive strategic decisions. Passionate about innovation, I excel at leveraging emerging technologies like Generative AI to solve complex challenges and uncover actionable business insights in collaborative environments. Known for translating complex data into clear, actionable solutions, I thrive in fast-paced, cross-functional teams focused on continuous improvement and sustainable growth.

Overview

4
4
years of professional experience

Work History

Business Insights Analyst

Amazon Development Centre Pvt Ltd
Hyderabad
09.2021 - 08.2023
  • Analyzed 1,000+ weekly customer cases to detect fraud patterns, minimizing financial losses and enabling scalable risk mitigation strategies
  • Improved fraud prevention workflows by 20% through root-cause analysis and process redesign, resolving investigation bottlenecks and enhancing team productivity
  • Acted as the liaison for Quality and Production across two sites, standardizing performance reporting and aligning cross-functional stakeholders
  • Built and presented Excel dashboards using pivot tables and dynamic charts, driving leadership visibility into key metrics and promoting a data-informed culture
  • Played a key role in a cross-functional pilot project, leveraging customer feedback and ops data to recommend improvements that enhanced efficiency and satisfaction.

Business Analyst Intern

Innomatics Research Labs
Hyderabad
05.2021 - 09.2021
  • Queried lead data using SQL and analyzed 10+ campaigns in Google Analytics, boosting lead-to-conversion rates by
  • Built 5+ Tableau dashboards to track funnel metrics and KPIs, increasing reporting efficiency and team visibility by 30%
  • Gathered requirements from 8+ clients and delivered insights that improved satisfaction scores by 20% and reduced turnaround time
  • Analyzed 50+ traffic sources to identify top-performing channels, driving a 25% increase in qualified leads and ROI.

Business Analyst

GK Engineering & Fabrications
Hyderabad
04.2020 - 04.2021
  • Optimized product distribution routes across 30+ recurring orders, reducing delivery times by 15% and transportation costs by 10%
  • Conducted technical needs assessments for pharmaceutical clients, boosting equipment utilization by 20% and cutting production delays by 25%
  • Identified cost-saving opportunities in raw materials and labor, improving project margins by 12% and supporting efficient resource allocation
  • Defined SLAs and KPIs with 10+ clients while integrating customer feedback, achieving 95 %+ on-time delivery, and sustaining operations during COVID-19 disruptions.

Product Marketing Intern

IDBI Federal Life Insurance
Hyderabad
04.2019 - 04.2021
  • Analyzed sales data from 500+ customer records to uncover a 10–15% cross-sell opportunity gap and inform growth strategies
  • Built Google Sheets dashboards to track 5+ campaign KPIs, cutting reporting time by 40% and improving decision-making speed
  • Evaluated conversion and engagement trends, recommending changes that increased prospect conversion by an estimated 8%
  • Synthesized insights from 100+ customer interactions and led 5 interns to improve data quality, standardize reporting, and address service bottlenecks
  • Projects
  • Sentiment Analysis of VR-based AI Tutor— AmikoXR | Python | Tableau
  • Conducted and analyzed surveys with 300+ students and faculty (80% response rate) to evaluate AmikoXR’s VR- based AI tutor across demographics and academic disciplines
  • Uncovered 20% higher engagement among key segments through sentiment and correlation analysis in
  • Python and delivered insights via Tableau dashboards to guide product strategy
  • Insurance Claims Database Management & Analysis | SQL
  • Built and managed an insurance claims database in PostgreSQL (pgAdmin), organizing 700+ claims, 933 customers, and 1,000 policies to ensure data integrity and accessibility
  • Cleaned and analyzed data using SQL to identify high-value claims and trends across 512 vehicle types and postal codes, enabling informed business decisions
  • Predictive Marketing Optimization with Machine Learning | Python
  • Built classification models (Logistic Regression, Random Forest) in Python with 85%+ accuracy to predict customer conversions and support data-driven marketing strategies
  • Analyzed ~2,000 campaign records using Python (Pandas), uncovering optimization opportunities via CTR, conversion rate, and spend metrics; used K-Means clustering to reveal channel preferences by age and income segments.

Education

M.S - Business Intelligence & Analytics

Stevens Institute of Technology
Hoboken, NJ
05.2025

Bachelor of Business Administration -

ICFAI Foundation for Higher Education
Hyderabad, India
05.2021

Data Analytics and Machine Learning, Process Optimization, Multivariate Data Analysis, Business Intelligence and Data Integration, Marketing Analytics, Management of AI Technologies -

Business Strategy, Project Management, Operations Management, Business Analytics -

Skills

  • Business intelligence and analytics
  • KPI development, trend analysis, anomaly detection, A/B test design, and ad hoc reporting
  • Recurring performance dashboards, competitor benchmarking, data storytelling, and campaign performance analysis (CTR, CPC
  • ROAS, GenAI-driven insights generation, customer journey mapping, product-market fit analysis
  • Data tools and visualization: SQL (PostgreSQL, MySQL), Python, Tableau, Power BI, Excel, R, Looker, and Google Analytics
  • Lucidchart, Visio, Miro
  • Project Management & Collaboration: Agile/Scrum, cross-functional collaboration, sprint planning, stakeholder
  • Communication, roadmap input, backlog management, Jira, Confluence, business case development, MVP validation
  • Data Engineering & Ops: ETL, data cleaning, reconciliation, QA/testing, database design and maintenance, post-
  • Implementation analysis
  • Platforms & Technologies:
  • Microsoft Azure, AWS, Google Workspace, Microsoft Office Suite, cloud-based AI tools, prompt
  • Engineering for GenAI tools

Timeline

Business Insights Analyst

Amazon Development Centre Pvt Ltd
09.2021 - 08.2023

Business Analyst Intern

Innomatics Research Labs
05.2021 - 09.2021

Business Analyst

GK Engineering & Fabrications
04.2020 - 04.2021

Product Marketing Intern

IDBI Federal Life Insurance
04.2019 - 04.2021

M.S - Business Intelligence & Analytics

Stevens Institute of Technology

Bachelor of Business Administration -

ICFAI Foundation for Higher Education

Data Analytics and Machine Learning, Process Optimization, Multivariate Data Analysis, Business Intelligence and Data Integration, Marketing Analytics, Management of AI Technologies -

Business Strategy, Project Management, Operations Management, Business Analytics -

Gangga Kalyaan Patapanchala