Gurram Venkata Sai Rakesh
Business Analyst • Hyderabad, India • v*****************@gmail.com • +91*******950 • linkedin.com/•••••
Career Objective
Business Analyst with 0-1 years of experience applying SQL, Excel, Power BI and Python to translate data into actionable business insights. Experienced in building KPI dashboards, conducting qualitative research, and supporting sustainability and supply-chain analysis to inform strategy and operational improvements.
Education
University of Roehampton
Master of Science in Global Business Management • London, United Kingdom • September 2024 – September 2025
Amrita Sai Institute of Science and Technology
Bachelor of Technology in Electronics and Communication Engineering • Paritala, Vijayawada, India • June 2019 – August 2023
Technical Skills
Programming Languages: Python
Frameworks and Libraries: Pandas,NumPy,Jupyter Notebook
Databases: SQL
Data and Analytics: Data Cleaning,Exploratory Data Analysis,Statistical Analysis,KPI Definition,Power BI,Tableau,DAX,Dashboard Design,Excel
Office & Reporting: PowerPoint,Report Writing
Business Analysis & Strategy: Requirement Gathering,Process Analysis,Strategic Planning,Financial Foundations for Business
Research & Domain Knowledge: Qualitative Research,Thematic Analysis,Sustainability and Circular Economy,Supply Chain Fundamentals
Projects
Sustainable Innovation & Competitive Advantage – ASOS Case Study | May 2025 – September 2025
Tools Used: Qualitative Research, Thematic Analysis, Sustainability and Circular Economy, Report Writing, PowerPoint
- Evaluated ASOS circular economy initiatives to quantify impact on product life-cycle extension and operational efficiency using framework-based analysis.
- Conducted semi-structured interviews with company executives and applied thematic analysis to surface 8+ strategic improvement areas for sustainability programs.
- Linked sustainability initiatives to customer behavior analysis and estimated a 12% improvement in customer loyalty metrics based on survey and qualitative data synthesis.
- Identified opportunities to reduce operational waste by 10% and proposed supply-chain process changes prioritized by cost and feasibility for executive presentation.
Car Sales & Performance Analysis Dashboard | October 2022 – April 2023
Tools Used: SQL, Power BI, Data Modeling, DAX, Excel, Pandas
- Queried and transformed raw car sales datasets using advanced SQL to produce cleaned tables for revenue, product and regional performance analysis.
- Designed a Power BI dashboard with structured data modeling and DAX measures to monitor KPIs including total revenue, profit margins and monthly growth.
- Implemented calculated measures and time-intelligence DAX to enable month-over-month and year-over-year trend comparisons for stakeholders.
- Delivered insights on top-performing car segments, seasonal demand patterns, and region-wise sales variations that supported targeted sales strategies.
Certifications
Python for Data Science — IBM via CognitiveClass.ai
Business Finance Foundation — Great Learning
Supply Chain Management (knowledge) — Great Learning
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