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AI Engineer with less than a year in machine learning solutions and data analytics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with hands-on experience developing end-to-end machine learning solutions and data analytics pipelines. Proven track record in building predictive models, implementing deep learning architectures, and delivering business intelligence solutions. Expertise in Python, SQL, and modern ML frameworks with demonstrated ability to translate complex business requirements into scalable technical solutions that drive measurable business outcomes.
Amrita Vishwa Vidyapeetham
B.Tech · Artificial Intelligence
August 1, 2020 – June 30, 2024
Uber x mentormind.in
Machine Learning Intern
December 1, 2025 – January 31, 2026
India
Lead Score Prediction Model
June 1, 2026 – Present
Built a classification model achieving 85% accuracy to predict lead conversion probability, enabling sales teams to prioritize high-value prospects effectively. Conducted extensive data preprocessing and feature engineering on 50,000+ lead records, implementing VIF-based multicollinearity analysis that improved model stability by 30%. Generated actionable insights that reduced sales cycle time by identifying qualified leads, resulting in more efficient resource allocation and improved conversion rates.
Traffic Volume Forecasting at Road Junctions
June 1, 2026 – Present
Developed a regression model achieving 92% R-squared score to forecast hourly traffic volumes using weather conditions and temporal features across multiple junction points. Engineered 15+ time-based features including hour of day, day of week, peak periods, and weather interactions to effectively capture complex congestion patterns. Delivered actionable insights for traffic management that identified peak congestion hours with 95% accuracy, supporting infrastructure planning and traffic signal optimization decisions.
PhonePe Pulse Data Analysis and Interactive Dashboard
June 1, 2026 – Present
Analyzed over 500 million UPI transactions across 35+ Indian states using MySQL-based data analytics pipeline to uncover digital payment adoption trends. Built an interactive Streamlit dashboard featuring Plotly visualizations that enabled real-time exploration of regional payment patterns and transaction volumes. Identified 40% year-over-year growth in digital payment adoption and delivered comprehensive reports on state-wise penetration patterns to support strategic business decisions.
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Crash Course on Python
Coursera
June 1, 2026 – Present
Letter of Recommendation
Labmentix Pvt. Ltd.
June 1, 2026 – Present
Professional Certificate Program in AI and Data Science
upGrad
February 12, 2026 – Present
Mentor-led Internship Certificate
Uber × mentormind.in
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internship show a strong interest in applying AI/ML to real-world problems, which aligns well with an AI Engineer role. The diversity of projects (lead prediction, traffic forecasting, data analysis dashboard) indicates a broad interest in different domains within AI/Data Science. The certifications further demonstrate a proactive approach to learning and skill development. However, the experience is primarily academic and internship-based, which might require some ramp-up in a fast-paced industry environment.
Soft Skills & Operational Fit
The candidate demonstrates an ability to work on diverse projects, suggesting adaptability. The project descriptions indicate a results-oriented approach, focusing on accuracy and business impact. However, without direct interview data, it's difficult to assess collaboration, stress handling, or communication clarity in a team setting.