AI Engineer with 1+ years in Machine Learning & Data Analytics
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AI Engineer Intern with 1.1 years of experience in developing interactive analytics dashboards, machine learning workflows, and robotic navigation systems. Proficient in Python, SQL, Power BI, and various AI/ML frameworks. Successfully contributed to projects improving lead growth, revenue, and system efficiency through data-driven insights and advanced algorithms.
Lovely Professional University
B. Tech · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Guru Tegh Bahadur Public School
Intermediate
June 1, 2021 – May 31, 2022
Guru Tegh Bahadur Public School
Matriculation
June 1, 2019 – May 31, 2020
Futurense Technologies
Al Engineer Intern
January 1, 2026 – May 31, 2026
India
Futurense Technologies
ML Engineer Intern
June 1, 2025 – September 30, 2025
India
Futurense Technologies
Data Analyst Intern
June 1, 2024 – September 30, 2024
India
Student Performance Prediction System
March 1, 2026 – May 31, 2026
• Designed and simulated scalable student-performance datasets with diverse learner archetypes and realistic academic behavior patterns to support predictive analytics workflows, • Performed comprehensive exploratory data analysis (EDA), feature engineering, and data preprocessing to identify performance trends, risk indicators, and key learning outcome drivers. • Developed and evaluated machine learning classification models for student risk prediction and academic performance forecasting with optimized feature selection and validation strategies. • Built an Early Warning System using stage-specific prediction checkpoints to identify at-risk students proactively and enable timely academic intervention and personalized recommendations
Licious Food Management System
October 1, 2025 – November 30, 2025
• Built a Python-based food delivery system with online ordering and payment integration. • Implemented secure payment handling and optimized backend for real-time order processing. • Designed intuitive UI with food ratings and customer reviews. • Tech Stack: Python, Flask, REST APIs, MySQL, HTML, CSS, JavaScript, Stripe API, JWT Authentication, Git
Secure Auth
June 1, 2025 – August 31, 2025
• Developed a three-phase security platform with MFA, password vault, and secure file storage • Implemented AES-GCM, RSA, PBKDF2, and bcrypt for end-to-end encryption. • Built secure password sharing and browser extension with client-side decryption. • Tech Stack: Python, Flask, JavaScript, REST APIs, AES-GCM, RSA, PBKDF2, bcrypt, MFA
USA Pathway Program (USP)
January 1, 2025 – February 28, 2025
• Performed data cleaning, preprocessing, and EDA on real-time program datasets. • Created Power BI dashboards for success rates, product insights, and dropout analysis. • Maintained real-time data pipelines using Azure Data Lake. • Tech Stack: Python (Pandas, NumPy), SQL, Power BI (DAX, Power Query), Azure Data Lake, Azure Data Factory, Git
Microsoft Power BI Data Analyst Associate
Microsoft
January 1, 2025 – Present
Microsoft Certified: Azure Data Fundamentals
Microsoft
September 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role through a diverse portfolio of projects spanning data analysis, machine learning, and secure system development. The academic and personal projects, combined with multiple internships, show initiative and a broad interest in relevant technologies. The certifications in Power BI and Azure Data Fundamentals further indicate a commitment to continuous learning and alignment with industry-standard tools, which are positive indicators for cultural integration into a tech-driven team.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as Time Management, Leadership, Problem-Solving, Adaptability, and being a Quick Learner. Project descriptions indicate an ability to work on diverse tasks from data analysis to system design and implementation. The internship experiences at Futurense Technologies suggest an operational fit for structured project environments and a capacity to contribute to various stages of AI/ML development.