Nov 2022 – Jul 2024 · 1 yr 8 mos · Hyderabad, Telangana, India · Hybrid

• ✓ Developed data pipelines using specific triaging rules to detect and prevent internal payee fraud involving expense reports, travel, and purchasing cards, as well as external payee fraud including duplicate and erroneous invoices.
• ✓ Designed and implemented interactive, user-friendly end-to-end reporting solutions, utilizing data from various financial applications, employee expense systems, and financial case management tools for various programs within TFAW.
• ✓ Built prototypes and automated solutions for case creation in Resolve using various fraud detection rules, enhancing audit control with automated QuickSight reports.
• ✓ Designed operational dashboards for tracking metrics used by operations managers, executive leadership, and analysts.
• ✓ Conducted hypothesis testing to validate the effectiveness of new controls in reducing fraud minimizing the impact to the legitimate users.
• ✓ Used logistic regression to assess the probability of fraud by analyzing patterns and discrepancies in expense reports, travel, and purchasing behaviors.
• ✓ Utilize Regression analysis and Time series analysis to predict future performance metrics and monitor progress towards operational goals.
• ✓ Developed a dashboard for tracking progress towards goals and forecasting metrics using linear approximation, providing monthly targets to achieve the operational goals of various teams.

Feb 2022 – Nov 2022 · 9 mos · Hyderabad, Telangana, India

• ✓ Spearheaded the data strategy for a next-generation, multi-tenant, serverless product leveraging proprietary advanced analytics, machine learning, and automation to enhance performance and insights and also implement data-driven initiatives for product development, focusing on creating scalable and efficient data solutions.
• ✓ Developed complex functions and views for API consumption and applied text mining techniques to extract vital information from legal complaint documents using natural language processing (NLP).
• ✓ Collaborated with Data scientists to build machine learning model to predict potential custodians for data collection. Worked with cloud data engineers to identify and bridge gaps in data requirements, devising and implementing data transformation strategies to meet product requirements.

Jul 2021 – Feb 2022 · 7 mos · Hyderabad, Telangana, India · Remote

Aug 2020 – Feb 2022 · 1 yr 6 mos

• ✓ Collaborated with stakeholders to gather requirements and clarify expectations, serving as a coordinator for work intake by routing tasks to appropriate teams after analyzing the impacted systems, and overseeing the development of various analytics products.
• ✓ Contributed individually to the creation of highly intuitive, interactive, and robust dashboards using Tableau.
• ✓ Communicated analytical results to product and leadership teams to influence the overall product strategy.
• ✓ Authored and optimized custom SQL queries to meet specific business needs, enhancing the performance and efficiency of reports for improved data processing and accessibility.

Feb 2019 – Aug 2020 · 1 yr 6 mos

• ✓ Developed analytical queries tailored to business requirements for generating reports in Tableau.
• ✓ Designed and built engaging, user-friendly, and reliable Tableau dashboards in response to specific requirements.
• ✓ Collaborated with stakeholders to gather business requirements, analyze problem statements, and address them effectively using acuity, diligence, and analytical skills to create impactful visualisations in Tableau.

Jul 2016 – Jan 2019 · 2 yrs 6 mos · Gachibowli,Hyderabad

• ✓ Provided extensive support by analyzing problems and implementing solutions to address them effectively.
• ✓ Developed and optimized complex stored procedures, functions, and views to enhance data handling, reporting capabilities, and processing efficiency, effectively translating and addressing complex business requirements.
• ✓ Implemented full and delta load mechanisms to manage historical and transactional data, incorporating Slowly Changing Dimensions (SCD) to preserve historical records.
• ✓ Developed a dashboard that uses historical sales data to forecast future product demand, helping to optimize production schedules and inventory management.
• ✓ Conducted case studies on SAP HANA, demonstrating expertise in modeling informative models such as attribute views, analytical views, and calculation views.
• ✓ Worked extensively with data warehousing concepts, including star schema and snowflake schema, to enhance data storage and retrieval mechanisms.
• ✓ Extensively handled data ingestion using SAP Data Services (ETL) from external sources and through Apache Kafka pipelines.
• ✓ Worked collaboratively with the team to develop database schemas and implement sharding strategies for rapid data retrieval.