Data Analytics Specialist with SQL and Python Expertise

BHAVITHA RAMADUGU Data Analyst

NJ, USA +1-551-***-**** ***********@*****.*** LinkedIn

SUMMARY

Data Analyst with 4+ years of experience translating large-scale operational, transactional, and event-driven data into actionable insights for product, operations, and leadership teams. Strong expertise in SQL-driven analytics, Python automation, dashboard development, and KPI modelling across cloud-based environments. Proven ability to improve decision-making accuracy, reporting reliability, and forecasting outcomes through structured analysis, data validation, and cross-functional collaboration in fast-paced enterprise settings.

PROFESSIONAL EXPERIENCE

Data Analyst Uber, NJ, USA Jan 2025 – Present

Examined large scale ride, driver, and trip datasets using SQL and Python, improving ride matching accuracy by 35 % while enabling data driven optimization across high density metropolitan regions nationwide.

Engineered optimized analytical queries on PostgreSQL and MongoDB, reducing dashboard query latency by 28 % and preventing approximately 15000 monthly reporting discrepancies across fare, trip, and payment analytics platforms.

Produced interactive dashboards in Tableau and Power BI, improving operational visibility and increasing stakeholder decision making speed by 20 % across product, operations, and regional planning teams globally distributed.

Architected real time analytics pipelines leveraging Kafka event streams, enabling monitoring of over 500000 daily ride events with consistent data accuracy and near real time performance insights for stakeholders.

Coordinated with product and engineering teams to define KPIs, translating business questions into analytical models that improved rider engagement tracking and driver performance analysis across multiple operational markets.

Streamlined recurring reports and data validation checks using Python, reducing manual reporting effort by 40 % and improving data reliability across weekly and monthly executive leadership reporting cycles.

Investigated ad hoc ride demand patterns, pricing trends, and regional performance metrics, supporting strategic planning initiatives and improving forecast accuracy during peak demand periods across seasonal business cycles.

Data Analyst Accenture Solutions Pvt Ltd, India May 2022 – Jun 2023

Assessed enterprise operational and financial datasets using SQL and Excel, supporting performance reporting and enabling leadership teams to identify efficiency gaps across multiple business units during quarterly operational review cycles.

Constructed scalable data models integrating MySQL and PostgreSQL sources, improving data consistency and reducing reporting errors across mission critical analytics workflows for enterprise clients requiring compliance accuracy governance.

Delivered dynamic dashboards in Power BI and Tableau, improving reporting turnaround time and providing actionable insights to stakeholders across sales, operations, and compliance teams for informed decision making.

Orchestrated data ingestion, transformation, and reporting processes using Python and scheduled jobs, reducing manual effort by 40 % and accelerating data availability for cross functional business review meetings.

Enabled analytics workloads on AWS by partnering with cloud teams, ensuring reliable access to EC2, S3, and RDS hosted analytical datasets for scalable reporting performance security and availability.

Validated data quality through checks, reconciliation rules, and audits, improving trust in reporting outputs and supporting audit ready analytics deliverables for regulated client environments compliance reviews.

Partnered with cross functional Agile teams, gathering analytical requirements, refining KPIs, and delivering insights aligned with sprint goals and client expectations through iterative development cycles.

Data Analyst Hexaware Technologies, India Jan 2021 – Apr 2022

Interpreted transactional and operational datasets using SQL, improving data processing efficiency by 25 % and supporting reporting needs for applications with over 10000 daily active users consistently.

Maintained analytical queries and reporting views, enabling faster access to insights and reducing manual data preparation effort for recurring business reports across finance operations product analytics teams.

Visualized business metrics using Tableau and Excel dashboards, improving insight consumption and increasing business team engagement with data driven decision making by 22 % through intuitive layouts.

Integrated real time analytics feeds using Redis and messaging based pipelines, improving monitoring accuracy and reducing latency in operational reporting by 25 % for production dashboards.

Automated data extraction and reporting workflows using Python, improving reporting reliability and reducing turnaround time for client facing analytics deliverables across multiple accounts service engagements.

Facilitated cloud-based data migrations to AWS, validating data integrity post migration and supporting scalable analytics for higher user and transaction volumes with minimal operational disruption.

Aligned with QA, engineering, and business teams to validate data outputs, resolve discrepancies, and ensure accurate reporting across multiple analytics use cases supporting client trust.

TECHNICAL SKILLS

Data Analysis & Statistical Techniques: SQL (PostgreSQL, MySQL), Advanced Excel (Power Query, Pivot Tables, VLOOKUP, Index Match), Descriptive Statistics, Variance Analysis, Cohort Analysis, Root Cause Analysis, Hypothesis Testing, Forecasting Support

Programming, Scripting & Automation: Python (Pandas, NumPy, Matplotlib), Automated Reporting, ETL Scripting, Data Transformation, Scheduled Jobs, Data Cleaning, Reusable Analysis Scripts, Workflow Automation, Notebook-Based Analysis

Business Intelligence & Visualization: Tableau, Power BI, Dashboard Design, Executive Dashboards, Drill-Down Analysis, KPI Dashboards, Data Storytelling, Interactive Visualizations, Performance Tracking, Operational Reporting

Databases & Data Modeling: PostgreSQL, MySQL, MongoDB, Relational Data Modeling, Star and Snowflake Schemas, Query Optimization, Indexing Strategies, Analytical Views, Data Warehousing Fundamentals

Cloud & Analytics Infrastructure: AWS (EC2, S3, RDS), Cloud-Based Analytics, Secure Data Access, Scalable Reporting Environments, Cloud Cost Awareness, Data Storage Optimization

Streaming & Real-Time Analytics: Kafka, Redis, Event-Driven Data Pipelines, Real-Time Metrics Monitoring, Streaming Data Validation, Near Real-Time Dashboards

Data Quality, Governance & Compliance: Data Quality Frameworks, Data Reconciliation, Accuracy Checks, Audit-Ready Reporting, Data Lineage Awareness, Validation Rules, Documentation Standards, Regulatory Reporting Support

Product & Operational Analytics: KPI Definition, Funnel Analysis, User Behavior Analysis, Demand Forecasting Support, Pricing Trend Analysis, Performance Benchmarking, Experiment Analysis Support

Tools & Development Practices: Git, GitHub, Version Control, Agile Analytics, Jira, Confluence, Sprint-Based Delivery,

Stakeholder & Business Collaboration: Requirements Gathering, Business Translation, Insight Communication, Cross-Functional Collaboration, Executive Presentations, Data-Driven Decision Support

EDUCATION

Master's in Computer Science Pace University, New Jersey, USA

Bachelor's in computer science SR University, Ananthasagar, Telangana, INDIA

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