Motivated AI & Data Science B.Tech graduate seeking an entry-level IT role. Proficient in Python, SQL, and AWS with hands-on internship experience in data analytics and data science.
I am a motivated B.Tech graduate specializing in Artificial Intelligence and Data Science from Ponjesly College of Engineering. I seek to launch my professional career in an entry-level IT role where I can apply hands-on experience in data science, analytics, and automation.
My professional focus centers on extracting actionable insights from data, constructing machine learning workflows, and architecting cloud-native web solutions. Currently, I am actively expanding my skillset into cloud operations with AWS Cloud (EC2, S3, IAM) and building strong foundations in DevOps engineering.
Throughout my academic journey and internship opportunities, I have developed a strong aptitude for utilizing technology to drive data-informed decisions. I value structured software patterns, scalable databases, and clean code. As a collaborative communicator and team player, I excel at bridging technical concepts with business objectives.
Developed an AI-powered educational web application that personalizes resource and quiz recommendations based on a student's detected emotional state. Evaluates state dynamics to output customized study tracks using Flask backends and cloud storage.
Engineered an Automatic License Plate Recognition system utilizing computer vision filters. Processes raw video streams and images through grayscaling, Gaussian blurring, Canny edge detection, and thresholding algorithms to segment plate regions for text extraction.
Developed a deep learning model for automated brain tumor detection from MRI brain scans. Utilizes image preprocessing, data augmentation, and Convolutional Neural Networks (CNNs) to segment and classify structural anomalies with high confidence scoring.
Engineered a computer vision model that analyzes video frames to detect fire and smoke hazards in real-time. Implements custom HSV color masking, frame differences, and YOLO deep learning bounding boxes for instant environmental threat alerting.
Built an automated quality control inspection model for industrial manufacture lines. Leverages custom OpenCV contour filtering, thresholding, and morphological operations to scan mechanical gear components, flagging surface defects and micro-cracks.
I am currently open to exploring entry-level roles in data analytics, data science, ServiceNow operations, and IT engineering support. Feel free to reach out via phone, email, or through the contact form!