G. Ravi Teja Reddy Email & Phone Number

New York, Ny, Us

Florida, United States

• Worked on increasing the market sales with interactive dashboards. Worked on Objective and key results (OKRs).• Create interactive dashboards. Worked with cross-functional teams.• Performed inventory Analysis, Market basket Analysis and customer segmentation, forecasting and demand planning using tableau.• Gained experience in data handling, statistical and machine learning models, and visualization techniques.• Collaborated with a team to develop machine learning models to gain insightful results from the datasets available.• Collaborated with project managers to streamline operations, emphasizing business process optimization and financials. • Build predictive models and machine learning algorithms.• Identified valuable data sources and automated collection process.• Worked on building database tables. Migrating database to data warehouse model. • Worked on ad-hoc data import and export. Generating reports of the data collected.• Worked on creating reports and leveraging SQL querying and PowerBI dashboards for actionable insights, contributing to business planning and development.• Contributed to constructive technical discussion. Worked on operational details of the business like the key dependencies, business drivers/KPIs.

• Developed models and released to production using tools including Python, R, SQL, Tableau, and AWS.• Creating business use cases, business questions, and business assertions to the stakeholders.• Worked on mapping data from source to destination field and watched for errors.• Built-in data visualization created Tableau dashboards and produced detailed reports with summaries and graphs to explain the results to the team and stakeholders.• Worked on identifying patterns and trends with data exploration and feature engineering.• Utilized Python libraries, SQL, R, and SAS to gather, clean, and analyze data in accordance with predetermined forms.• Used Python modules including Pandas, NumPy, Sklearn, Matplotlib, and Seaborn to do data cleaning, data exploration, data visualization, feature selection, and engineering.• Analyzed the relationships between the characteristics and the risk factor using univariate, bivariate, and multivariate methods. • Review documentation to prevent fraud, churn, money laundering and identify theft losses. Followed standard AML procedures and processes.• Evaluated the model’s performance using various metrics like Precision, Recall, F-Score, ROC, and AUC and Cross-Validation to test the models with different batches of data to optimize the models.

• Worked on deep analysis of data and determining the best way to represent it to managers and stakeholders. • Used SQL for Data Storage and management retail data like sales transaction and customer information, inventory levels and products levels. • Worked on data integration from various platforms. SQL for data cleaning and transforming data. • Worked on building and maintaining new reports, or enhancements to existing reports for the Customer Service team.• Created and implemented Agile-Enabling tools, such as JIRA, Confluence, to streamline development process and improve team communication• Worked on Jira software for issue tracking, bug tracking and project management. Conducted analysis on performance and business impact.• Worked on presenting information through data visualization techniques.

Hyderabad, Telangana, India

• Expert in data validation, cleansing, consolidation and mining for sense, consistency and accuracy and compliance standards.• Used different chats for visualizing the data and providing insights to stakeholders.• Performing and discovering insights on user-based similarities, item-based similarities, product popularity, association rules, and customer purchase patterns for frequently used things.• Integrate free from notes data with supplementary structured data from Data warehouse for additional context and attribution.• Worked on operations data to drive meaningful insights. Worked on demand forecasting and time series analysis.• Troubleshooting and resolving data issues. Leveraged ecommerce revenue growth by delivering data driven result to the client. • Worked on API designing and testing for business needs using Postman.• Applied dataset combination using Excel. Incorporated Pivot tables to analyze subsets. Regression, correlation, clustering, descriptive statistics using Python.• Analyzed the quality of customer service responses using Natural language Processing for worst performing vendors to help reduce the return rate by 5%.• Analyzed large amount of data to identify patterns and trends.• Worked on Data integration and data cleaning and transforming Data using SQL.

Master'S Degree, Data Science

Bachelor'S Degree, Computer Science