Shodak Patturu

Analyzed ride-matching performance using Python libraries (Pandas, NumPy) to identify trends and inefficiencies, improving ETA predictions and driver allocation accuracy.
Automated trip data workflows with Apache Airflow, reducing analytics latency and enabling real-time operational decisions.
Built predictive models with Scikit-learn to analyze rider and driver behavior, supporting dynamic pricing and demand forecasting.
Optimized data pipelines and improved storage using PostgreSQL and MongoDB, enabling efficient management of geospatial and transactional data.
Integrated real-time data streams via Apache Spark and Kafka to generate actionable insights, enhancing operational efficiency.
Conducted statistical analysis using SciPy and Statsmodels to uncover patterns in mobility data, aiding route optimization and marketing strategy refinement.
Performed A/B testing on marketing campaigns to evaluate effectiveness and drive improvements in customer engagement and conversion rates.

Analyzed ride-matching performance using Python libraries (Pandas, NumPy) to identify trends and inefficiencies, improving ETA predictions and driver allocation accuracy., Automated trip data workflows with Apache Airflow, reducing analytics latency and enabling real-time operational decisions., Built predictive models with Scikit-learn to analyze rider and driver behavior, supporting dynamic pricing and demand forecasting., Optimized data pipelines and improved storage using PostgreSQL and MongoDB, enabling efficient management of geospatial and transactional data., Integrated real-time data streams via Apache Spark and Kafka to generate actionable insights, enhancing operational efficiency., Conducted statistical analysis using SciPy and Statsmodels to uncover patterns in mobility data, aiding route optimization and marketing strategy refinement., Performed A/B testing on marketing campaigns to evaluate effectiveness and drive improvements in customer engagement and conversion rates.

Developed and maintained interactive dashboards using Tableau, Salesforce, and Excel (Pivot Tables, VLOOKUP, conditional formatting) to visualize marketing KPIs like user engagement, CAC, and ROAS, supporting data-driven strategies.
Conducted large-scale SQL-based analysis with advanced queries (window functions, CTEs) to uncover insights into booking trends, customer churn, pricing, and campaign effectiveness.
Leveraged Python (pandas, NumPy) to analyze SEO, PPC, and social media data, optimizing ad spend allocation and identifying high-performing marketing channels.
Designed and executed robust A/B testing frameworks, applying statistical methods (t-tests, chi-square) to measure the impact of strategies, landing page variants, and promotional offers.
Performed sentiment analysis on customer reviews using Python, uncovering trends in user satisfaction and informing improvements in campaign messaging and targeting.

Developed and maintained interactive dashboards using Tableau, Salesforce, and Excel (Pivot Tables, VLOOKUP, conditional formatting) to visualize marketing KPIs like user engagement, CAC, and ROAS, supporting data-driven strategies., Conducted large-scale SQL-based analysis with advanced queries (window functions, CTEs) to uncover insights into booking trends, customer churn, pricing, and campaign effectiveness., Leveraged Python (pandas, NumPy) to analyze SEO, PPC, and social media data, optimizing ad spend allocation and identifying high-performing marketing channels., Designed and executed robust A/B testing frameworks, applying statistical methods (t-tests, chi-square) to measure the impact of strategies, landing page variants, and promotional offers., Performed sentiment analysis on customer reviews using Python, uncovering trends in user satisfaction and informing improvements in campaign messaging and targeting.

Designed and automated Python-based ETL workflows using AWS Glue, ingesting and transforming 5,000+ records monthly across multiple business domains.
Developed and maintained Power BI dashboards using advanced DAX calculations, providing real-time KPI visibility and reducing executive reporting time by 40%.
Collaborated with finance and operations teams to integrate Oracle Cloud ERP with AWS S3 and Athena, enhancing financial data accuracy and reporting speed.
Built Alteryx data pipelines to automate recurring reports, eliminating 30% of manual work and significantly boosting team productivity.

Designed and automated Python-based ETL workflows using AWS Glue, ingesting and transforming 5,000+ records monthly across multiple business domains., Developed and maintained Power BI dashboards using advanced DAX calculations, providing real-time KPI visibility and reducing executive reporting time by 40%., Collaborated with finance and operations teams to integrate Oracle Cloud ERP with AWS S3 and Athena, enhancing financial data accuracy and reporting speed., Built Alteryx data pipelines to automate recurring reports, eliminating 30% of manual work and significantly boosting team productivity.

Automated ETL processes using Python scripting, enhancing data pipeline efficiency and reducing repetitive manual operations across business workflows.
Optimized SQL queries for efficient data retrieval and transformation from relational databases, leading to faster and more accurate generation of business reports.
Built dynamic Excel models with Pivot Tables, VLOOKUP, and Macros to streamline recurring reporting tasks and support data-driven decision-making.
Managed and maintained Oracle and PostgreSQL databases, implementing backup, recovery, access controls, and data encryption to ensure availability, reliability, and security.
Conducted A/B testing and applied statistical analysis techniques to evaluate changes in product performance and user behavior, delivering insights that improved user engagement and conversion strategies.

Automated ETL processes using Python scripting, enhancing data pipeline efficiency and reducing repetitive manual operations across business workflows., Optimized SQL queries for efficient data retrieval and transformation from relational databases, leading to faster and more accurate generation of business reports., Built dynamic Excel models with Pivot Tables, VLOOKUP, and Macros to streamline recurring reporting tasks and support data-driven decision-making., Managed and maintained Oracle and PostgreSQL databases, implementing backup, recovery, access controls, and data encryption to ensure availability, reliability, and security., Conducted A/B testing and applied statistical analysis techniques to evaluate changes in product performance and user behavior, delivering insights that improved user engagement and conversion strategies.