Shilpi Rani

Working as a Data Engineer in the Equity Division, delivering scalable Big Data and Machine Learning solutions for fraud detection and trade surveillance.

• Built and optimized data pipelines using PySpark, Hadoop (HDFS, Hive), and Airflow for large-scale trade data processing.
• Developed anomaly detection models in Python using Scikit-learn and TensorFlow, improving fraud detection accuracy.
• Integrated Kafka for real-time event streaming and alerting in surveillance systems.
• Ensured regulatory compliance (SEC/FINRA) through proper data governance, logging, and audit-ready documentation.
• Improved ETL performance via Spark tuning and advanced partitioning strategies.
• Collaborated with compliance and quant teams to deploy AI/ML workflows at scale.

• Led data migration and standardization efforts in telecom, integrating large datasets into enterprise systems.
• Improved data quality via cleansing and preprocessing using Python, PySpark, and Pandas.
• Collaborated on ETL pipeline development and maintenance, ensuring data integrity and stability.
• Drove process improvements through automation and analytics innovation.
• Defined and communicated global data requirements for scalable solution design.
• Delivered descriptive and predictive analytics, leveraging machine learning models for insight generation.
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1. Cognitive Digital Intelligence
Digitized B2B financial documents (PDF, invoices) using OCR, Python, and machine learning. Implemented anomaly detection using Random Forest models.

Tech Stack: Python, ML, OCR, Shell Scripting, PDF parsing, Random Forest

2. CNEM – Customer Network Experience Management
Analyzed telecom complaints (call drops, speed issues) using PySpark, Hive, HBase, and PhoenixDB. Delivered actionable insights to network engineers to resolve cell-level issues.

Tech Stack: Python, PySpark, Hive, HBase, PhoenixDB, MySQL, Flask, Shell Scripting

• Gathered and analyzed Business and Functional Requirements (BRS/FRS) across EPC, CRM, and Telecom domains
• Assessed technical feasibility and performed impact analysis on enterprise applications
• Authored FRS documents and conducted walkthroughs with solution architects and business stakeholders
• Delivered quality-assured solutions in Agile, Waterfall, and OneBox environments
• Served as Certified Scrum Master (CSM), facilitating sprint planning, reviews, and retrospectives
• Acted as an SME for Vodafone Billing Transformation (BSCS 6.0 to Amdocs 7.5) and CRM migration (Oracle Apps to Siebel).
• Designed scalable technical architectures and contributed to solutioning, estimations, and proposal development
• Coordinated cross-functional teams to deliver internal projects, ensuring business efficiency and stakeholder alignment

Project: Vodafone Essar – Oracle CRM and Amdocs Transformation (AMS Support and Rollout)

• Acted as SME for Oracle CRM 11.5.10, handling analysis, design, and feasibility assessments for change requests
• Led migration projects including billing migration, CRM migration, and MSG (Micro Subscription Gateway) migration
• Developed PL/SQL interfaces, packages, and Oracle Forms; created reports using XML Publisher
• Managed onsite production rollouts across 23 telecom circles during BSCS to Amdocs transformation
• Created Detail Design Documents (DDD), Application Interface Documents (AIDs), and integration specs for external systems
• Estimated project scope, mapped business requirements to technical solutions, and delegated tasks to the team
• Reviewed project deliverables, managed risks, and resolved complex technical issues
• Ensured smooth deployment and post-rollout support through structured planning and coordination

Project: Vodafone CRM Operations – Application Support

• Managed Oracle CRM operations and ensured SLA adherence for Remedy tickets
• Provided technical solutions for functional issues and supported UAT with test plans
• Coordinated with Change Management, Incident Management, and Problem Management teams
• Created standard operating procedures for CRM modules including Workflow, Metadata, TCA Upload, and Concurrent Programs
• Implemented performance improvement strategies to enhance operational efficiency
• Maintained inventory accuracy and supported production in a fast-paced environment