I am a Software Developer and Data Analyst with a passion for leveraging technology to solve real-world problems. My expertise spans across software development, AI, and data analytics, with a focus on continuous learning and innovation.
A recent graduate with an M.Tech in Integrated Computer Science and Engineering, specializing in Business Analytics. Gained hands-on experience in software engineering, Programming Languages and Problem solving through internships and personal projects, quick learner and apply new technologies to solve real-world problems.
CGPA: 8.53/10
• Designed and developed an Android application for employee tracking using GPS APIs, improving tracking accuracy by 80% using Geo-Fencing.
• Integrated 2 advanced SDKs for location-based tracking and data synchronization, enhancing user experience and functionality.
• Optimized application performance by implementing efficient Threading and API call management, reducing latency by 30%.
• Achieved an 80% improvement in prediction accuracy by building and training machine learning models on large datasets, leveraging tools like
Matplotlib, Scikit-learn, and Pyspark for data analysis and visualization.
• Created interactive dashboards using Power BI, R, and Tableau, enabling improved data visualization and actionable insights for stakeholders.
• Created and managed a YouTube channel to explain the latest Tech news, DSA fundamentals, and UI/UX concepts using Python, gaining a consistent viewer base.
• Published engaging tech tutorials and educational content, increasing channel subscriptions by 40% over one year.
• Gained expertise in content creation, video editing, and social media marketing tools like Canva, Adobe Premiere Pro, and Instagram Insights.
• Participated in the GEN AI Hackathon Sentiment Classification Tweets using BERT.
• Reached Top 200 in the Unstop Amazon ML Challenge.
• Android Club VIT Back-end Tech Member from 2023.
• Automated code migration with a Transformer-based Code Migrator, improving software development efficiency.
• Developed a Generative AI Healthcare Model using TensorFlow, LLMs, and NLP for real-time medical responses, optimizing GPU distributed memory for performance.
Achievements: Participated in the GEN AI Hackathon and applied models for sentiment classification with BERT, leading to high accuracy in analysis.
• Developed a Coastal Cleaning Model using YOLOv5M, MiDaS, and OnePose for real-time trash detection and measurement.
• Built an Automated Classroom Attendance System (ACAMS) with YOLOv5 and Faster R-CNN, achieving 90% accuracy in face detection.
Achievements: Increased accuracy and efficiency of trash detection systems and face recognition systems used in real-time applications.
• Designed and developed recommendation systems for Movies, Music, and Jobs using NLP and transformer models, achieving an 80% accuracy rate. Focused on modular design, adherence to coding standards, and end-to-end testing to enhance the quality and reliability of recommendations.
Achievements: Created a modular and scalable recommendation system with high accuracy, optimizing user experience.
• Implemented the Blowfish algorithm for data encapsulation, boosting text data transfer security by 80%, and enhanced library operations efficiency by 60% with an intuitive UI.
Achievements: Enhanced text data security and library operations, providing a more secure and efficient system.
• Created AstroChat, a Python desktop application with Tkinter and TCP/IP for multi-user chat rooms, achieving 50% user engagement, integrating voice commands via Python speech recognition for enhanced user interaction.
• Android version of AstroChat akin to WhatsApp, featuring real-time reactions and Firebase integration, boosting user engagement by 75%.
• Engineered cross-platform compatibility for AstroChat, enabling seamless synchronization between desktop and Android versions for intuitive communication across devices.
Achievements: Achieved high user engagement and cross-platform integration, enhancing real-time communication features.
As a fresh graduate with strong skills in software development, machine learning, and data science, I am ready to contribute to innovative projects and bring new ideas to life. My expertise includes:
With proficient in software development, data science, AI, machine learning, and cloud technologies, I am proficient in building scalable solutions, leveraging cutting-edge frameworks, and delivering impactful results in diverse domains such as NLP, deep learning, and data analytics.
Frameworks & Tools: PIL,OpenCV, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, AWS/GCFS, NLTK, GPT-3,BERT, PowerBI, Tableau
Explore insights and research contributions in technology and innovation.
Guna Shankar S, ICRET 2024, ISBN 978-8-19688-984-5, 2024
Guna Shankar S, ICAMDMS 2024, Accepted for publication
A blend of technical expertise and non-technical passions.
App Development, Machine Learning/AI, Cloud Distributed Systems
Editing, Collaboration (Agile), Documentation, Sports
Get in Touch If you’d like to collaborate, have questions, or simply want to chat about tech, feel free to reach out! I’m always excited to connect with like-minded individuals and explore new opportunities.
Chennai, India