Sai Kiran Pasuvula

Business Analyst

Hyderabad, Telangana, India4 yrs 1 mo experience

Key Highlights

  • Reduced query times by 20% at Amazon.
  • Automated reports saving over 20 hours per week.
  • Achieved 30% process efficiency gains in analytics projects.
Stackforce AI infers this person is a Data Analyst specializing in E-commerce and MarTech with strong ETL and data analysis skills.

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Skills

Core Skills

Data AnalysisEtlAutomationNlp

Other Skills

AWSData IntegrationDatoramaDuckDBELTPythonSQL

About

🔍 Business Analyst I @ Amazon | Driving Data Impact (3+ YOE) Passionate about building scalable data pipelines & actionable insights. At Amazon, optimized ETL processes with SQL/Python/Redshift—reduced query times 20%, automated reports saving 20+ hours/week, delivered ML-driven dashboards impacting revenue. 💻 Technical Expertise: • SQL (Advanced: Joins, Windows, CTEs) | Python/Pandas | ETL Pipelines • Redshift, AWS | Tableau, Power BI, Datorama • LLM, NLP, Machine Learning basics | Data Integration & Automation 🤝 Business Impact: • Mapped complex requirements → stakeholder dashboards (Tableau/Power BI) • Led cross-functional analytics projects → 30% process efficiency gains • Data Science specialist bridging technical → business outcomes 📩 Let's connect on data transformation! #BusinessAnalyst #DataEngineering #SQL #ETL Skills: Python, SQL, ETL, ELT, NLP, Tableau, Power BI, Datorama, Machine Learning, Data Pipelines, Redshift, DuckDB, AWS

Experience

Amazon

Business Analyst

Dec 2024 – Present · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

  • ➢ Played a key role in establishing and maintaining the WBR process by developing critical reporting components
  • including P0, aggregated P1 decks and respective program decks, with ongoing evolution through content updates,
  • regular maintenance, and system performance monitoring to validate all components function as intended, delivering
  • around 500 metrics.
  • ➢ Enhanced operational visibility through product adoption tracking with error analysis connecting 9 data sources via
  • SQL ETL pipelines, ensuring data accuracy and system reliability across the NA network.
  • ➢ Delivered transformative Python automation solutions replacing manual Excel processes that reduced validation
  • time by 70% and proposal generation time by 66%, saving 560+ annual hours while eliminating 80% of defects across
  • 850+ annual deployments in a network processing 5M+ weekly packages.
SQLPythonETLData IntegrationData Analysis

Accenture

2 roles

Data Analyst

Aug 2022 – Dec 2024 · 2 yrs 4 mos

  • 1. Utilized Datorama to integrate diverse marketing data sources (e.g., PR, social media, web analytics, ads, Google Search Console) through API connections to the data lake, applying ETL methods and SQL for data querying and manipulation.
  • 2. Developed data pipelines in Datorama using SQL, harmonizing marketing data to provide a holistic view of performance; generated marketing funnels and customized reports, reducing report generation time by 60% while enhancing analysis efficiency and insight delivery.
  • 3. Created monthly and quarterly reports using Python to scrape PR data, analyze sentiments, and track brand performance, leveraging NLP for clustering, sentiment analysis and brand perception assessment.
  • 4. Scraped consumer and media reviews with Python, using large language models to categorize mentions, themes and sentiment, providing actionable insights to guide product development and targeted messaging.
DatoramaSQLPythonNLPData AnalysisETL

Business Analyst Intern (formally Bridgei2i)

Jan 2022 – Jul 2022 · 6 mos

  • Implementing hierarchical mixed effects regression models for market mixed modeling in the Africa zone, analyzed media impacts on sales, optimized budget allocations, and secured a 10% YoY ROI surge, revealing influential
  • determinants decisively.

Education

University of Hyderabad

Master of Business Administration - MBA — Business analytics

Oct 2020 – Apr 2022

Sreenidhi Institute of Science and Technology

Bachelor of Technology - BTech — Mechanical Engineering

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