
AI Engineer with less than a year in Data Science & Analytics and Computer Vision.
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Data Science & Analytics Enthusiast skilled in Python, NumPy, Pandas, Matplotlib, SQL, DBMS, HTML, CSS. Experienced in ETL pipelines, workflow automation, and reproducible data processes. Adept at data visualization, dashboarding, and statistical analysis to deliver actionable insights. Strong foundation in AI/ML concepts with hands-on projects in computer vision and custom object detection.
University of Jammu, J&K
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
Govt. Degree College, Udhampur, J&K
Bachelor of Science (B.Sc.)
N/A – June 30, 2023
Govt. Model Boys Higher Secondary School, Ramnagar, J&K
Senior Secondary (Science) · Science
N/A – May 31, 2017
Govt. High School, Nagrota Panjgrain, Udhampur, J&K
High School (Class 10)
N/A – May 31, 2015
PICL India Pvt. Ltd. (Subsidiary of Amber Group)
ERP Executive
December 1, 2025 – Present
India
Customer Data Cleaning & Analysis
June 18, 2026 – Present
Automated preprocessing pipelines using Python, Pandas, NumPy, and Excel. Implemented outlier detection, missing value imputation, and feature engineering. Generated dashboards and summary reports for actionable insights.
YOLO Custom Object Detection
June 18, 2026 – Present
Annotated images using LabelImg in Pascal VOC format (XML annotations). Converted annotations into YOLO format (normalized bounding boxes: class_id, center_x, center_y, width, height). Prepared dataset structure with train/validation splits and organized image/label folders. Trained the model using YOLOv5 on custom classes, leveraging GPU acceleration for faster convergence. Validated the model on the test set, monitoring metrics such as precision, recall, and mAP (mean Average Precision). Performed custom object detection on unseen images/videos, achieving accurate bounding box predictions and class identification.
AI & ML Projects
June 18, 2026 – Present
Built Perceptron and Neural network models from scratch. Implemented classification, regression, and logic gate simulations. Applied Scikit-Learn, Keras, TensorFlow, YOLO and OpenCV for ML workflows. Developed computer vision projects such as Real-Time Face Detection and Invisible Cloak using OpenCV.
Certificate of Excellence in Python
Scaler
June 1, 2026 – Present
Certificate of Participation in Artificial Intelligence & Machine Learning
Shri Mata Vaishno Devi University
June 1, 2026 – Present
Certificate of Training on Artificial Intelligence & Machine Learning
Internshala.
June 1, 2026 – Present
Certificate of Excellence in Artificial Intelligence Using Python
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate shows a strong interest in AI/ML through personal projects and certifications, aligning well with an AI Engineer role. The diversity of projects (data cleaning, general AI/ML, custom object detection) indicates a broad curiosity and willingness to explore different facets of the field. The current ERP role, while not directly AI-related, demonstrates a structured approach to data management, which can be a valuable asset. However, the experience level is entry-level, and the projects are personal, which might require more mentorship in a team setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work independently on technical challenges. The ERP Executive role suggests an aptitude for data accuracy, structured processes, and change management, which are transferable to MLOps and data governance within an AI engineering context. However, direct evidence of collaboration or leadership in AI projects is not explicitly detailed.