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Aspiration: Data Analytics & AI

Location:
Dallas, TX
Posted:
June 10, 2026

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Resume:

Kishika Sood

Dallas, TX, ***** 469-***-**** *************@*****.*** https://www.linkedin.com/in/kishika-sood/ EDUCATION

The University of Texas at Dallas, TX, USA January 2025 - December 2026 Master of Science in Business Analytics and Artificial Intelligence GPA: 3.5/4 Manchester Metropolitan University, London, UK October 2021 - January 2023 Master of Arts in Fashion and Luxury Brand Management GPA: 3.5/4 SKILLS

Programming and Databases: SQL, Python, R, MySQL, PostgreSQL, MongoDB AI/ML Frameworks: AI Lifecycle Management, LangChain, OpenAI API, Prompt Engineering, RAG, LLM Evaluation AI Tools: Claude Code, OpenAI Codex, ChatGPT, Vertex AI, Google Cloud Console, Azure, Cursor, Copilot Data and BI Tools: Salesforce, Tableau, Power BI, Microsoft Excel, SEO, SEM, Google Analytics Certifications: Coursera Google Data Analytics Professional Certificate, McKinsey & Company Forward Program, Third Bridge Client Service Delivery Simulation

Relevant Coursework: Advanced Statistics, Machine Learning, Data Visualization, Database Management, Predictive and Prescriptive Analytics, Web Analytics, Digital Product Management PROFESSIONAL EXPERIENCE

AJS Star Super Speciality Hospital, Guna, India July 2024 - December 2024 Business Analyst

• Analyzed medical data using SQL and Excel, identifying process inefficiencies and implementing solutions that increased operational efficiency by 15%.

• Conducted investment and financial analyses to evaluate future returns, supporting strategic decisions for growth initiatives.

• Coordinated with cross-functional stakeholders to deploy a sentiment analysis framework, managing workflows and action items to drive a 30% improvement in patient satisfaction. YOOX Net a Porter Group, London, UK May 2023 - April 2024 Premier Operations Consultant

• Managed end-to-end fulfilment workflows in Salesforce, coordinating with internal teams and external partners to resolve escalations, achieving 99.5% order accuracy and 20% higher customer satisfaction.

• Optimized delivery operations using Far Eye, reducing transportation costs by 15% and achieving 90% on-time delivery.

• Mentored team members and recognized twice as Highest Performer and Most Valuable Team Member, boosting productivity and team performance by 25%.

Harrods, London, UK December 2021 - April 2023

Client Relations and Operations Lead (Promoted from Client Coordinator)

• Led a 20-member team, managing departmental workflows, staff schedules, and training programs that improved work quality by 15% and enhanced overall team efficiency.

• Streamlined floor and stock operations in collaboration with management, reducing customer wait times by 20% and stock outages by 20%, resulting in higher service consistency.

• Optimized sales and replenishment strategies, boosting sales conversion rates by 15% and increasing monthly revenue by 2% through data-driven operational planning.

PROJECTS

Vérité - AI-Powered Wealth Management Platform Goldman Sachs x UTD 24-Hr AI Hackathon May 2026 Tools & Technologies: React, Vite, Tailwind CSS, Python, Flask, Gemini API, yFinance, Recharts

• Built a full-stack AI-powered portfolio management platform in 24 hours; recognized by Goldman Sachs panelists as the standout project and awarded the hackathon’s engineering distinction.

• Developed a scenario-based portfolio rebalancing engine to simulate market events and deliver personalized, plain-English investment recommendations.

• Designed an interactive dashboard with live portfolio health scoring, rebalancing sliders, and transparent insights on costs, taxes, and execution steps.

• Integrated Gemini API and yFinance to provide AI-generated portfolio summaries, live market data, and real-time analytics visualized through Recharts.

AI Strategy Capstone – FactoryTwin May 2026

Tools & Technologies: PowerPoint, Python, SQL, GitHub Copilot, AI Lifecycle Frameworks, Process Mapping, Data Feasibility Analysis

• Partnered with FactoryTwin to identify AI-driven optimization opportunities and define high-impact industrial AI use cases.

• Tracked KPIs across data sourcing, validation, and deployment stages, maintaining structured feasibility reports to support ROI and scalability decision-making.

• Leveraged GitHub Copilot to prototype analytical workflows and accelerate development while delivering strategic recommendations balancing ROI, scalability, and governance considerations. LEADERSHIP EXPERIENCE

Manchester Metropolitan University, London, UK October 2021 - January 2023 Student Representative

• Represented student concerns to university administration, driving policy improvements and increasing student engagement through mentorship and campus initiatives



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