Varun Mehrotra

AI Services Intern @ LTIMindtree

About

Graduate student in Data Science at Rutgers University with a foundation in Computer Engineering and experience applying machine learning, statistical modeling, and AI across academic and industry settings. I specialize in building data-driven solutions with a focus on causal inference, computer vision, and natural language processing. Through research and applied roles, I’ve contributed to full-cycle model development, data infrastructure, and analytical frameworks that support decision-making at scale. My academic work includes causal modeling of behavioral interventions and deep learning pipelines for medical imaging, complemented by applied projects in AI-driven systems and data visualization. Proficient in Python, R, SQL, and modern ML libraries, I am driven to translate data into actionable insights and scalable systems - whether in research, product development, or strategy.

Country

United States

City

New Brunswick

Industry

Information Technology & Services

Skill

Graph Theory, Algorithm Optimization, Algorithm Design, Data Interpretation, Microsoft Excel, SAS (Software), Pandas (Software), Exploratory Data Analysis, Linear Regression, Categorical Data Analysis, Panda, Seaborn, Model Interpretation, Retrieval-Augmented Generation (RAG), Julia (Programming Language), Power BI, Django, Statistical Data Analysis, Tableau, Software as a Service (SaaS)

Experience

AI Services Intern

LTIMindtree

2025-6 - 2025-8 · 3 mos

Designed and implemented a backend-driven AI chatbot to support automated, fact-based responses for the AI Services team. Developed a modular pipeline for document ingestion, metadata tagging, semantic retrieval, and source-traceable draft generation. Ensured audit-readiness and content consistency across outputs through structured pipeline design. Applied principles of natural language processing (NLP) and semantic search to enterprise documentation. Collaborated with cross-functional stakeholders to align chatbot behavior with organizational knowledge assets.

R&D Software Intern

ideaForge

2024-1 - 2024-6 · 6 mos

Mumbai, Maharashtra, India

Conducted in-depth research on existing super-resolution technologies used in drones. Developed and optimized machine learning algorithms to improve image enhancement accuracy by nearly 77%. Applied deep learning techniques to real-world drone data to enhance aerial image clarity and processing efficiency. Translated research into deployable software solutions for integration into the company’s drone systems. Supported data preprocessing, model training, and performance validation cycles for internal benchmarking.

Strategy Intern

KPMG India

2023-5 - 2023-7 · 3 mos

Mumbai, Maharashtra, India

Contributed to digital innovation research focused on Global Capability Centers (GCCs) in India. Led strategic analysis of e-commerce technologies used by partner firms, identifying gaps and areas for growth. Conducted market research on the evolution of India’s Software-as-a-Service (SaaS) landscape. Prepared client-facing presentation decks and internal reports for use in high-level strategy discussions. Collaborated with cross-disciplinary teams to support strategic consulting deliverables for enterprise clients.