Sofiya Mohammed

Bengaluru, India 1+ yrs exp 73 · Very Good

About

Data professional with 1+ year of enterprise experience at Cognizant in production data systems, analytics engineering, and AI product development. Proven ability to analyse complex datasets, build end-to-end data pipelines, and deliver business insights through SQL, Python, and Tableau. Independently architected and deployed production-grade AI applications leveraging RAG pipelines, LLMs, and vector databases. Combines strong analytical thinking with hands-on technical execution across data analytics, data engineering, and AI/ML.

Skills & Expertise (40)

Python Intermediate

6.4/10

Years Exp

SQL Intermediate

6.4/10

Years Exp

Data Modelling Intermediate

5.4/10

Years Exp

AWS Intermediate

5.4/10

Years Exp

Git Intermediate

5.4/10

Years Exp

Data Migration Intermediate

5.4/10

Years Exp

ETL Pipelines Intermediate

5.4/10

Years Exp

MySql Intermediate

5.4/10

Years Exp

Postgresql Intermediate

5.4/10

Years Exp

Data visualisation Intermediate

5.4/10

Years Exp

Business Intelligence Intermediate

5.4/10

Years Exp

Tableau Intermediate

5.4/10

Years Exp

Supabase Streamlit EDA Jira Dynatrace Mulesoft Vercel REST APIs Node.js Java Spring Boot React.js Interceptors Business process Neon Delta Lake Databricks Statistical Analysis NLP Neural Networks TensorFlow.js Prompt Engineering Semantic Search Qdrant Groq API Gemini API LLM Integration RAG Pipelines

Work Experience

Programmer Analyst Trainee

Cognizant Technology Solutions

Jul 2025 - Present

Reduced production incident recurrence to zero by analysing data anomalies across business-critical e-commerce transaction workflows — order processing, payment settlement, and order discrepancy pipelines — resolving 15+ live incidents through structured root cause analysis. Performed Dynatrace alert and spike analysis across 4+ microservices — defined performance baselines, identified deviations in application health metrics proactively, and prevented end-user impact through early escalation and data-driven troubleshooting. Analysed MuleSoft integration logs and scheduled job data to detect and isolate cross-service data pipeline failures; authored analytical runbooks that standardised investigation processes, cutting team re-investigation effort by ~30%. Automated 5+ manual data validation and triage workflows — reduced repetitive analytical effort by ~40%, improved data quality checks, and increased team throughput for high-priority engineering and analytics tasks.

SAP Commerce Cloud Developer Intern

Cognizant Technology Solutions

Jan 2025 - Jun 2025

Engineered 3+ feature extensions across the SAP Commerce Cloud platform, delivering backend data flows, service-layer validation, and storefront rendering improvements that directly supported business operations and reporting requirements. Designed and executed ETL data migration across 3 environments (dev, staging, production) using 10+ ImpEx scripts — ensured zero data loss, consistent data integrity, and repeatable migration processes for catalogue and promotions data. Wrote 20+ advanced FlexibleSearch queries — equivalent to complex SQL with JOINs, filters, and aggregations — for data extraction, data quality verification, and stakeholder reporting across multiple product catalogues.