S V S SUJAL

Aspiring Build Engineer, skilled in team leadership and customer satisfaction enhancement, with a passion for simplicity in processes. Excellent communication and time management capabilities enable effective handling of challenges. Organized and driven, with a focus on efficient problem-solving.

Managed projects in line with Agile values, prioritizing collaboration, rapid delivery, and adaptability to evolving client needs.

• Linux Shell Programming for Beginners (Infosys)
• Linux Bash Scripting Training (Infosys)
• Linux Shell Scripting Solutions (Infosys)
• Tech A Linux Programming Foundation Certification (Infosys)
• Image Processing with MATLAB (MATLAB)
• Image Processing OnRamp (MATLAB)
• Practical Jenkins (Infosys)

• Project 1: Image Classifier – Cat vs.Dog developed an image classification system using classical ML models (SVM, KNN, Decision Tree) with OpenCV for preprocessing, and scikit-learn for training and evaluation
• 1.1: Implemented a GUI-based prediction system with Tkinter, and supported model persistence using Joblib for real-time image classification
• 1.2: Skills/Tech Stack: Python, OpenCV, scikit-learn, Tkinter, Joblib, image preprocessing, and model evaluation
• Project 2: PCB Defect Detection System
• 2.1: Designed a Flask-based web app, integrating MATLAB’s advanced image processing to detect defects in printed circuit boards (PCBs)
• 2.2: Executed edge detection, morphological operations, and component analysis using MATLAB scripts, with real-time visualization via Flask
• 2.3: Skills/Tech Stack: Python, Flask, MATLAB (image processing), MATLAB Engine API, web deployment, and quality inspection automation
• Project 3: Informex – Shiny Data Analysis App
• 3.1: Built an interactive Shiny web application in R for uploading and analyzing CSV datasets, with advanced visualizations and summaries
• 3.2: Integrated dynamic plotting (scatter plots, clustering, correlation matrices), and data filtering for intuitive data exploration
• 3.3: Skills/Tech Stack: R, Shiny, ggplot2, tidyverse, corrplot, DT, data visualization, statistical analysis, UI/UX for data tools