Priyanka parihar

Data Manipulation using Python, data cleaning, data piepline. Assisted in building a Random Forest regression model for analyzing credit card transaction data. Performed data preprocessing, categorical encoding, and dataset preparation using Python and Pandas.

Led end-to-end delivery of enterprise application initiatives, overseeing planning, execution, and release while ensuring alignment with business objectives. Managed teams, business operations and stakeholder engagement, conducting regular business reviews to track performance, priorities, and strategic outcomes. Conducted requirement gathering for business and technical teams, translating business requirements into actionable development and delivery plans. Monitored project milestones, delivery risks, and operational KPIs, ensuring applications met quality, performance, and business expectations.

Worked as a software engineer for the billing healthcare system for Singapore using Java. Implemented business logic and data processing modules integrated with relational databases using JDBC and SQL. Debugged and optimized application performance.

Developed interactive dashboards in Tableau to visualize banking data, enabling stakeholders to track key performance metrics and business trends for 4 APAC countries. Analyzed customer and transaction data from banking systems to validate data accuracy and support application functionality. Performed root-cause analysis on production issues by analyzing application logs and SQL queries, resolving long-standing defects in collaboration with development teams.

Worked for government stakeholders and business users as an Individual contributor for 12 Sharepoint- CRM based applications and their migration workflows. Understand application requirements, data flows, and quality expectations. Facilitated effective communication and meetings, worked with cross functional teams and liaised with senior management and users. Worked closely on updating Functional specifications, and other business documents. Conducted high-end, end-to-end system and data testing in SIT UAT enviornment.

Led a team of 20 analysts, monitoring quality, performance assisting in smooth delivery of Youtube projects. Data labelling, categorising, training data for various google content engineering projects and process like Google Cerebra, White-Ops, Google Lens etc. Conducted quality analysis checks on data labelling and prepared accuracy reports using excel. Recommended process improvements to senior management, enhancing efficiency and reporting accuracy.