Isha Pendharkar
Full-stack Salesforce Developer with 2+ years at Deloitte USI, specializing in Apex/Java backend services, Lightning Web Components (LWC), and data-driven applications using Java Script, Python, and SQL. Six Salesforce certifications. Published AI/ML researcher with expertise in deep learning and cognitive behaviour analysis. End-to-end delivery across agile teams.
Experience
Consultant – Salesforce Developer
Deloitte USI
Hyderabad
Architected and delivered scalable Apex classes, triggers, and batch jobs; optimized LWC component performance, reducing load times and backend failure rates significantly. Designed end-to-end features across UI (LWC), backend (Apex/Java), automated workflows (Flows), and data layers (SOQL/SOSL), ensuring consistency across all tiers.
Owned full feature lifecycle — from requirement analysis and technical design to development, QA collaboration, and production release. Drove production issue resolution through root-cause analysis and performance profiling; reduced recurring incidents through systematic fixes.
Analyst – Salesforce Developer
Deloitte USI
Hyderabad
Recipient of Deloitte's Outstanding Performance Award (Sep 2025) and Spot Award (Jul 2024) for consistent high-quality delivery. Built and maintained Salesforce features spanning LWC components, Apex/Java services, and Flow automations; contributed to multiple client deliverables.
Supported a data science initiative by developing ETL data pipelines and interactive visualization dashboards for business stakeholders. Participated in agile ceremonies, sprint planning, and code reviews; mentored junior team members on Salesforce best practices.
Research Intern
Symbiosis Centre for Applied AI
Pune
Pre-processed and analysed complex multimodal time-series datasets; engineered features for behavioural classification tasks. Designed and trained CNN and LSTM deep learning models for emotion recognition and deception detection, achieving strong benchmark results.
Co-authored 3 peer-reviewed international publications (Brain Informatics, AI and Ethics, ICAIN) on AI and cognitive behaviour analysis.
Digital Transformation Intern
Tata Motors Limited Business Services
Pune
Developed chatbot frontend interfaces using Python and Java Script; designed and managed underlying relational databases. Collaborated on digital transformation projects involving microservices architecture, REST API integrations, and cloud-based deployment pipelines.
Software Engineering Intern
ArcelorMittal Nippon Steel India
Surat
Designed and delivered a production-ready Complaint Management System using Django, HTML, CSS, and MySQL following MVC architecture. Implemented backend logic for complaint tracking, user authentication, and data reporting; deployed for internal organizational use.
Education
Symbiosis Institute of Technology
B.Tech.
Coursework: Advanced Algorithms • Machine Learning • Deep Learning • Systems Programming
Skills
SalesforceApexLWCSOQL/SOSLFlowsPlatform Developer IAI AssociateJavaScript DeveloperJavaPythonJavaScriptSQLCNNLSTMData Analysis & VisualizationCI/CDGitDjangoMyREST APIsMicroservicesCloud DevelopmentAgile/ScrumMachine Learning SpecializationJavaFX
CERTIFICATIONS
Salesforce: Platform Developer I
Salesforce: Agentforce Specialist
Salesforce: AI Associate
Salesforce: JavaScript Developer
Other: Machine Learning Specialization
Other: Java Masterclass – Beginner to Expert (Java & JavaFX)
PUBLICATIONS
Using Multimodal AI for Cognitive Behaviour Analysis: Case Study of Deception Detection
ICAIN
A-XAI: Adversarial Machine Learning for Trustable Explainability
AI and Ethics
Machine Learning for Cognitive Behavioural Analysis: Datasets, Methods, Paradigms, and Research Directions
Brain Informatics