Hi, I'm Akshita Moda
Computer Science Student | AI-ML & Cybersecurity | Developer
About Me
I am a third-year B.Tech Computer Science student at VIT Vellore, specializing in Information Security, with a current CGPA of 9.34. I’ve gained hands-on experience as a Cybersecurity Analyst at IBM, where I worked on SIEM enhancement and firewall optimization, and as an SDE Intern at Tranquil Labs, contributing to user engagement through full-stack development.
I also completed an AI-ML workshop at NTU Singapore, where I built and trained deep learning models using TensorFlow and Keras, achieving 92.3% accuracy on real-world classification tasks. I'm passionate about applying AI, ML, and cybersecurity to solve practical problems and build impactful, secure digital solutions.
Technical Skills
Programming Languages
Java, Python, C/C++, R, MATLAB, JavaScript, HTML, CSS, DSA
Software Dev & DevOps
Git, GitHub, DevOps, AWS, REST APIs
AI, ML & Data Science
TensorFlow, Scikit-learn, OpenAI API, Flask, MySQL, MongoDB, Machine Learning
Cybersecurity & Networking
Wireshark, Splunk, Nmap, Metasploitable, Kali Linux, Network Security
Soft Skills
Attention to Detail, Communication, Teamwork, Leadership, Time Management
Projects
CineAdvisor
A smart movie recommendation system combining collaborative and content-based filtering with real-time data from TMDb API. It features genre, rating, and year filters with 98% precision. Reduced content load time by 35% using optimized API calls and intuitive UI design.
VoyageVista
An international hotel booking website featuring dynamic filtering, interactive maps, and chatbot support. Built with HTML/CSS/JavaScript for a responsive UI and integrated location-based suggestions to enhance the travel planning experience.
Wireshark Masterclass
Captured and analyzed 1,500+ network packets using Wireshark. Created a detailed visual guide and tutorial on dissecting TCP/IP, ARP, DNS, and HTTP packets. Simplifies network packet inspection for students and entry-level cybersecurity learners.
Mailchemy
An automation tool that extracts `.xlsx` attachments from Gmail using IMAP, filters content based on keywords via regex, and stores results in a searchable SQLite database. Features a Tkinter-based GUI for instant viewing and Excel export. Reduced manual Excel parsing by 95%.
Experience
- CyberSecurity Analyst – IBM (May 2025 – Jun 2025): Worked with the IBM Security team to enhance threat detection accuracy by tuning SIEM rules and reducing false positives by 15%. Collaborated on firewall policy optimization, saving 10+ hours per week in rule reviews. Gained hands-on experience with QRadar, firewall logs, and real-time incident response workflows.
- AI-ML Workshop – NTU Singapore (Oct 2024 – Nov 2024): Completed a hands-on workshop focused on deep learning, neural networks, and real-world AI applications. Designed and trained a deep learning classification model using TensorFlow and Keras, achieving 92.3% accuracy. Collaborated with an international team and presented solutions to industry experts.
Internships Description
- IBM Cybersecurity Professional Certificate: Completed an intensive program covering threat intelligence, SIEM, incident response, and security compliance. Gained hands-on experience with tools like QRadar and Wireshark. View Certificate
- AI-ML Certificate – NTU Singapore: Participated in a 40-hour deep learning workshop focused on image classification, neural networks, and LSTM models. Collaborated with peers on real-world AI solutions using TensorFlow and Keras. View Certificate
Certifications
IBM Cybersecurity Certificate
Trained in SIEM tuning, threat intelligence & firewall optimization using IBM QRadar.
AI-ML – NTU Singapore
Built deep learning models using Keras & TensorFlow, achieving 92.3% accuracy.
Project Management Certificate
Learned agile project planning, stakeholder engagement, and risk management.
Deloitte: Cyber Job Simulation
Investigated internal logs to detect suspicious access and assess dashboard security.
Achievements & Accolades
Hackathon Participation
Actively participated in several national and institute-level hackathons, applying AI/ML and cybersecurity skills in collaborative, real-time problem-solving environments.
Workshops & Webinars
Engaged in AI, ML, and Cybersecurity-focused workshops and webinars to deepen domain expertise and stay current with evolving technologies and tools.
Leadership – PLA Management Committee
Contributed to organizing major events with 500+ attendees, improving outreach by 40%, and successfully onboarding 300+ new members as part of the core team at PLA.
Contact Me