
AI Engineer with less than a year in Artificial Intelligence & Machine Learning with strong programm
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B. Tech student specializing in Artificial Intelligence and Machine Learning with strong programming skills in Python, C, and C++. Enjoy building projects and writing clean, efficient code to solve practical problems. Passionate about continuous learning, collaboration, and improving technical skills. Passionate about extracting insights from data and developing solutions to support business decision-making.
Chandigarh Group of Colleges
Bachelor of Technology (B. Tech) · Artificial Intelligence & Machine Learning
August 1, 2023 – June 30, 2027
Senior Secondary School
Senior Secondary (12th) · Non-Medical
June 1, 2021 – May 31, 2022
Sarvhitkari Vidya Mandir Scho
Secondary (10th) · Standard Mathematics
June 1, 2019 – May 31, 2020
Movie Recommendation System
June 1, 2026 – Present
Developed a content-based movie recommendation system using cosine similarity on movie features. Processed and cleaned movie datasets containing titles, genres, and user ratings. Transformed categorical features using one-hot encoding for similarity computation. Generated personalized movie recommendations based on user-selected inputs. Conducted EDA to analyze rating patterns and genre popularity.
View ProjectIPL Data Analysis & Interactive Dashboard
June 1, 2026 – Present
Analyzed ball-by-ball IPL dataset using Pandas and NumPy to uncover match and player performance trends. Identified key insights such as toss impact, win percentages, and top match-winning players. Built interactive dashboard using Streamlit to visualize real-time statistics and insights. Created visualizations using Matplotlib/Seaborn to support data-driven decision making.
View ProjectReal Estate Price Prediction
June 1, 2026 – Present
Scraped real estate listings using web scraping techniques and created a structured dataset. Cleaned and standardized inconsistent data formats (price units, area types, missing values). Performed EDA to identify price drivers such as location, area, and property type. Built regression models achieving an R² score of 0.82 and reduced MAE by 18%.
View ProjectFast-API for Beginners
Coursera
January 1, 2026 – Present
Feature Engineering Workshop
Kaggle
January 1, 2025 – Present
CompTIA Security+ Training & Assignment Completion
CGC Jhanjeri
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's academic projects show a good breadth of application within data science and machine learning, from recommendation systems to real estate prediction and data analysis dashboards. Their participation in a hackathon and various certifications indicates a proactive and engaged approach to learning and skill development, which aligns well with a culture of continuous improvement. The target role of 'AI Engineer' is well-aligned with their B.Tech specialization and project focus, suggesting a genuine interest in the field.
Soft Skills & Operational Fit
The candidate's summary highlights a passion for continuous learning, collaboration, and problem-solving, which are positive indicators for operational fit. Their academic projects demonstrate an ability to work on structured problems and deliver solutions. However, without professional experience, the practical application of these soft skills in a corporate environment is unproven.