AI Engineer with 1+ years in Data Analysis & Machine Learning.
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Assessing your cultural and operational fit
Highly motivated and results-driven B.Tech student in Computer Science and Engineering with 1.5 years of experience in data analytics, visualization, and AI project development. Proven ability to analyze complex datasets, build intelligent systems using RAG and LLMs, and create impactful dashboards for data-driven decision-making. Skilled in Python, machine learning, deep learning frameworks, and various data tools, actively seeking opportunities to leverage technical expertise in an innovative environment.
New LJ Institute of Engineering and Technology, GTU
B.Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Infosys Springboard
Data Visualization Intern
February 1, 2026 – April 1, 2026
India
Brainy Beam Infotech
AI Intern
November 1, 2025 – January 1, 2026
India
CSRBOX
Data Analytics Intern
July 1, 2025 – June 1, 2026
India
Family Office – AI-Powered Financial Management Platform
January 1, 2026 – June 1, 2026
Built an AI-driven financial management platform enabling family budgeting, expense tracking, and collaborative wealth planning. Developed machine learning-powered analytics including expense forecasting, anomaly detection, financial health assessment, and personalized recommendations. Engineered secure, production-ready REST APIs with JWT authentication, role-based access control, OCR document processing, and automated reporting workflows.
View ProjectMedical Q&A Chatbot
January 1, 2025 – June 1, 2026
Built a medical chatbot using the MedQuAD dataset with semantic search powered by FAISS embeddings. Developed an interactive web application integrated with TensorFlow and Gemini for intelligent summarized responses. Implemented preprocessing, model training, indexing, and deployment workflows for the ML pipeline.
View ProjectMovie Recommendation System
January 1, 2025 – June 1, 2026
Built a hybrid recommendation engine combining collaborative filtering and content-based similarity methods. Persisted ALS latent factors in a FAISS index for fast movie similarity search. Deployed the application using Docker and Streamlit Community Cloud with multiple recommendation modes.
View ProjectIBM Data Science Professional Certificate
Coursera
June 1, 2026 – Present
CS50 Introduction to Python
Harvard University
June 1, 2026 – Present
Generative AI Training
Google Cloud
June 1, 2026 – Present
Deloitte Data Analytics Job Simulation
Deloitte
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships show a strong interest and initiative in the AI/ML domain. The diversity of projects (chatbot, recommendation system, financial platform) indicates a broad curiosity and willingness to tackle different challenges, which aligns well with an innovative and learning-oriented culture. Their involvement in data analytics and visualization also suggests an appreciation for data-driven decision-making. The candidate's profile indicates a strong drive for continuous learning, as evidenced by numerous certifications from reputable institutions.
Soft Skills & Operational Fit
The candidate demonstrates a proactive learning attitude through multiple certifications and academic projects. Their experience in building end-to-end AI applications, including deployment, suggests an operational mindset. The project descriptions indicate an ability to work on diverse problem sets, from medical Q&A to financial management, showcasing adaptability. However, as an entry-level candidate, direct experience in production-grade system operations and team collaboration in a professional setting is limited.