1) Conducted feasibility studies, gathered business requirements, and performed impact/gap analysis to determine the scope of client needs.2) Managed projects related to sales and orders data process management.3) Participated in client meetings, comprehended business models, and devised process flow diagrams.4) Assessed project feasibility, costs, objectives, and timelines.5) Managed software development projects by reviewing requests, assessing projects, and providing recommended solutions.6) Extensively utilized Python, SQL, Tableau, and Power BI for project analysis, visualization, debugging, testing, and design.7) Generated relevant sales performance reports for the project team on a monthly and quarterly basis.8) Extracted, analyzed, manipulated, cleaned, and processed data using Excel, BI Tools, and Tableau.9) Took responsibility for data loading, extraction, and validation of sales data using tools like Palantir, BI, and BeX.10) Documented current data generation, data flows, use cases, and customer requirements.11) Collaborated with account managers to analyze, visualize, and test the required reports.12) Worked with the project management team to interpret data sets for key business decision-making.13) Manipulated and visualized sales data using Tableau.14) Collected, analyzed, and reported data to enhance overall sales productivity on an ongoing basis.

1) Analyzed and managed datasets to generate reports on various data analysis issues.2) Developed and designed new algorithms, programs, and dedicated software applications.3) Oversaw software development projects by evaluating requests, assessing project requirements, and offering solutions or modifications.4) Conducted training sessions for new staff members to facilitate their understanding of project specifications.5) Contributed to ongoing projects driven by changes in customer requirements and technological advancements.6) Identified potential challenges and collaborated with the project team to plan effective strategies.7) Collaborated closely with the Quality Assurance (QA) team to ensure the delivery of reliable and high-quality data.8) Interacted with clients to define project features and gather requirements.9) Automated reports using a combination of VBA Macros, Excel, Python, and SQL.10) Involved in the final validation process and prepared comprehensive reports for software projects.