• Implemented and followed Agile development methodology within the cross-functional team and acted as a liaison between the business user group and the technical team.• Used Python's multiple data science packages like Pandas, NumPy, Matplotlib, and SciPy.• Extract, clean, and transform large datasets to generate actionable insights using SQL, Python, and data visualization tools and assisted in data mining and predictive modeling projects to support business objectives.• Designed Developed, Coded, Tested, and maintained objects such as Packages, Procedures, Functions, Triggers, Views, Sequences, PL/SQL Collections, etc.• Develop and maintain automated dashboards and reports using Tableau, resulting in a 20% reduction in reporting time.• Collaborate with cross-functional teams to identify key performance indicators and create custom reports that support business objectives and created hundreds of test cases using JIRA for larger projects.• Supported senior analysts in data collection, cleansing, and visualization using Excel and SQL.• Developed and maintained ETL processes for seamless data extraction, transformation, and loading.• Applied machine-learning techniques for predictive modeling and data-driven decision-making.• Identify data quality issues and implement data cleaning and validation processes, reducing errors by 15%.

• Utilized the Waterfall methodology of development for Requirements, Planning, Design, and Deployment.• Performed Data Collection, Data Cleaning, Feature Engineering (Deep Feature Synthesis), Validation, Visualization, Report findings, and developed strategic uses of data.• Worked on data cleaning and ensured data quality, consistency, and integrity using Pandas and NumPy.• Conducted research on data analysis best practices and contributed to the development of data analysis guidelines.• Supported the team in generating ad-hoc reports and conducting preliminary data investigations.• Utilized statistical Natural Language Processing (NLP) for sentiment analysis, mine unstructured data, and create insights.• Developed complex SQL queries to extract and manipulate data from relational databases.• Created customized reports and dashboards using data visualization tools such as Power BI.• Conducted statistical analysis and implemented data-driven strategies to optimize marketing campaigns.• Visualizing and presenting dashboards to stakeholders using Tableau & Ggplot2 by utilizing various plotting techniques and used the AWS to quickly build, train and deploy the machine learning models.• Performed exploratory data analysis (EDA) and statistical analysis to uncover trends and insights.