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AI Engineer with less than a year in Data Analysis & AI/ML model development.
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Highly motivated Computer Engineering student specializing in Data Analytics with honors in AI and Machine Learning. Possessing expertise in Python, SQL, and various AI/ML frameworks like TensorFlow and Scikit-learn. Demonstrated ability to design, automate, and deploy data-driven solutions, including an LSTM-based stock prediction service and a dual-agent AI system. Eager to apply strong analytical and problem-solving skills to complex data challenges.
Mumbai University
B.Tech. Computer Engineering · Computer Engineering
August 1, 2022 – June 30, 2026
Tata CliQ
Data Analyst Intern - CRM Retention
January 1, 2026 – April 1, 2026
Mumbai, Maharashtra, India
Worldwide Innovation Institute
Technical Documentation and Research Intern
March 1, 2025 – June 1, 2025
Mumbai, Maharashtra, India
LSTM-Based Financial Time Series Analysis
June 1, 2026 – Present
Built and deployed an LSTM-based stock prediction service on AWS, exposing a REST API for model inference and integrating monitoring for prediction quality. Collaborated on model design, data pipelines, and evaluation to balance prediction accuracy with performance and maintainability.
Deep Research AI Agentic System
June 1, 2026 – Present
Designed a dual-agent system that automates KPI research, insight generation, and report structuring for business users. Integrated external APIs, orchestrated multi-step workflows in LangGraph, and optimized prompts and data flows for reliability and scalability.
Personalized Food Nutrition Recommendation System
June 1, 2026 – Present
Built a recommendation engine that generates goal-base, nutrient-based meal suggestions using cosine similarity and user profiles. Implemented BMR and TDEE-based personalization logic and exposed an interactive interface in Gradio for quick experimentation and user feedback.
McKinsey Forward Program
Mckinsey & Company
January 1, 2025 – Present
Oracle Cloud Infrastructure Foundations Associate
Oracle University
January 1, 2025 – Present
Advanced Data Analytics with Generative AI
Microsoft
January 1, 2025 – Present
Advanced R Programming in Business
IIT Kanpur
January 1, 2025 – Present
Business Management
IIM Mumbai
January 1, 2024 – Present
Basics of Scrum
Simplilearn
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects show a strong interest in diverse AI applications, from finance to healthcare and business automation. Extracurricular activities in a Fintech Committee highlight leadership, teamwork, and engagement beyond core academics. The certifications in business management and scrum indicate a proactive approach to understanding broader business contexts and agile methodologies, which aligns well with a collaborative and results-oriented culture. However, the experience is primarily academic and internship-based, which might require some adjustment to a full-time corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates cross-functional communication, adaptability, and problem-solving skills through project collaborations and extracurricular leadership roles. Experience in technical documentation and stakeholder communication suggests an ability to bridge technical and non-technical teams. The candidate's involvement in managing teams and budgets indicates organizational and operational capabilities.