Business Intelligence Analyst

PRUDHVI RAJ SUDDAKANTI

Business Intelligence Analyst

********************@*****.*** +1-469-***-**** TX https://www.linkedin.com/in/prudhvi-raj-suddakanti/ SUMMARY

● Business Intelligence Analyst with 4+ years of experience leveraging advanced analytics, machine learning, and big data tools to drive decision-making.

● Proficient in Python, R, and SQL, with expertise in MySQL, SQL Server, Oracle, and PostgreSQL for data management and analysis.

● Expertise in Apache Kafka, Spark, Airflow, Hadoop, Hive, and data warehousing platforms like Snowflake, Amazon Redshift, and Google BigQuery.

● Formulated 50+ interactive dashboards and reports using Tableau, Power BI, AWS QuickSight, SSRS, Matplotlib, Seaborn, and Plotly.

● Knowledgeable in SDLC, Agile, and Waterfall methodologies, with proficiency in project management tools like JIRA, Confluence, and Microsoft Office.

TECHNICAL SKILLS

Programming Languages: Python, R, SQL

Methodologies: SDLC, Agile, Waterfall

Databases: MySQL, SQL Server, Oracle, PostgreSQL

Big Data Tools: Apache Kafka, Spark, Airflow, Hadoop, Hive Data Warehousing: Snowflake, Amazon Redshift, Google Big Query Project Management Tools: JIRA, Confluence, BRS, BRD, PRD, User Stories, Office Suites Data Analytic Skills: Data Mining, Data Cleaning, Statistical Analysis, Data Visualization Data Visualization Skills: Tableau, Power BI, AWS Quick sight, Matplotlib, Seaborn, Plotly, SSRS Machine Learning Skills: Scikit-learn, Random Forest, Predictive Modeling, Clustering and Time Series Analysis PROFESSIONAL EXPERIENCE

YAAANA Feb 2025 – Current

Data Analyst Intern CA

● Generated critical capacity planning reports using Python libraries like NumPy, Matplotlib, and Pandas, resulting in a 25% improvement in data visualization effectiveness.

● Developed and executed complex SQL queries involving joins and sub-queries to analyze and profile data, enhancing the accuracy of analyses by 30%.

● Presented actionable insights via Power BI dashboards, Excel (Pivot Tables, VLOOKUP, Power Query, Charts), and PowerPoint. Analyzing social media performance to track trends and provide data-driven recommendations for engagement and content quality. KPMG Jan 2022 - Dec 2022

Business Intelligence Analyst India

● Conducted exploratory data analysis (EDA) on 10M+ financial records using Python (Pandas, NumPy), identifying seasonal trends and anomalies via time series decomposition (STL, Prophet), enabling a 15% improvement in revenue forecasting accuracy for executive planning.

● Optimized MySQL schemas to streamline financial reporting workflows, enabling 35% faster generation of monthly performance reports used by stakeholders to allocate budgets.

● Automated financial variance analysis using Excel Power Query and Monte Carlo simulations, reducing FP&A cycle time by 40% and improving scenario modeling accuracy for risk assessment.

● Leveraged AWS Glue/S3 to curate near-real-time financial datasets, enhancing ad-hoc analysis capabilities and reducing time-to-insight for stakeholders by 25%.

● Translated business requirements into analytical frameworks by drafting BRDs/FRDs, aligning KPIs (CAC, ROI) with stakeholder goals and reducing misalignment issues by 20%.

● Facilitated quantitative models and methodologies using R and Python, contributing to a 25% enhancement in business process efficiency and a $200K cost saving in operational expenses.

● Engaged with stakeholders in Agile workflows to prioritize analytics deliverables, achieving 95% on-time delivery of insights that informed quarterly strategic pivots.

● Developed a logistic regression model (Scikit-learn) to predict customer upsell potential, incorporating SHAP values for interpretability, which increased cross-sell revenue by $1.2M annually.

● Implemented A/B testing frameworks (Python StatsModels) to evaluate marketing campaign effectiveness, achieving 95% statistical confidence in results and optimizing ad spend allocation by 30%. Adani Aug 2019 - Dec 2021

Data Analyst India

● Coordinated with 3+ business teams to design Tableau dashboards (scatter plots, maps, trend charts), reducing time spent on manual reporting by 25% and enabling faster insights into procurement and customer behavior.

● Integrated data from Oracle, ServiceNow, and procurement tools into Tableau, resolving data silos and creating unified dashboards that improved cross-departmental decision-making.

● Structured SQL data models for customer feedback analysis, enabling teams to track satisfaction trends and prioritize improvements based on insights. Conducted rapid SQL analysis to address urgent business questions (sales anomalies), reducing response time by 50% and supporting executive decision-making.

● Cleaned and preprocessed datasets (Python/Pandas) with 89% accuracy, enabling reliable analysis of customer churn drivers and financial trends.

● Integrated Software Development Life Cycle (SDLC) methodologies in 10% of projects, ensuring a systematic approach to data analysis and model development. This methodical approach led to more predictable outcomes and structured project progression.

● Analyzed customer feedback sentiment to identify key pain points, prompting process reducing complaints by 20%.

● Established data quality standards (metadata tracking, validation rules), improving dataset reliability by 30% and ensuring compliance with organizational policies.

● Cooperated with Finance, Procurement, and IT to resolve 15+ bottlenecks with data-driven solutions. Identified customer profitability trends, unlocking $500K+ in revenue through targeted retention strategies.

● Executed A/B tests to evaluate product feature performance, leading to a 12% increase in user adoption by prioritizing high-impact updates.

● Automated financial report generation (Excel pivot tables, charts), saving 20+ hours monthly and delivering board-ready presentations for stakeholders.

● Supervised sales forecasting with predictive models, improving forecast accuracy by 12% and guiding inventory planning decisions. Adani Jan 2019 – Jul 2019

Data Analyst Intern India

● Coordinated a key Supply Chain Analytics Team member, driving data-driven initiatives that optimized pharmaceutical logistics and reduced operational costs by 15%.

● Collaborated with finance, operations, and IT teams to analyze TransVoyant data, resulting in a 20% reduction in air transportation costs using Python, SQL, and Power BI.

● Guided in developing ETL workflows for AWS Redshift, improving data accessibility for reporting by 25%.

● Analyzed supply chain, operations, and transportation data to identify inefficiencies, leading to a 20% improvement in resource allocation and streamlined pharmaceutical logistics processes. EDUCATION

The University of Texas at Dallas Jan 2023 - Dec 2024 Master of Science in Information Technology and Management TX, USA Sathyabama Institute of Science and Technology, Chennai, India Aug 2015 – May 2019 Bachelor of Engineering in ECE India

PROJECTS

Healthcare Cost and Insurance Data Analysis

● WEB scraped and processed 15.6M+ records spanning 178,893 HIPAA codes and 400+ insurance providers using Python (BeautifulSoup, Pandas), ensuring data consistency and accuracy.

● Designed and hosted a scalable PostgreSQL database on AWS (EC2, S3, RDS), securely managing 6M+ records and delivering APIs, improving healthcare cost transparency and enabling informed decision-making for users. Netflix Product Strategy and User Experience Analysis

● Administered product research and competitive analysis, developing PRDs, user surveys, and pain point assessments to refine features, enhance user experience, and support data-driven decision-making for strategic product improvements.

● Collaborated with a team of students to oversee feature development and analyzing Netflix’s innovation, market expansion, user experience optimization and user engagement strategies as part of an academic project. Visualization with Tableau- Data Analytics on COVID-19 Dataset

● Cleansed COVID-19 data with Python and Excel, creating Tableau dashboards to analyze urban/rural impacts, revealing a 30% higher case rate in urban areas.

● Created a Tableau dashboard showing that regions with 70%+ vaccination rates had 40% fewer COVID-19 cases than lower-vaccinated areas.

CERTIFICATIONS

● Microsoft Certified: Azure Fundamentals (AZ-900)

● Product School: Product Strategy Micro-Certification (PSC)™

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