Aryan Ahire

Aryan Ahire

3rd Year Computer Science Student |Backend Developer | Cybersecurity & Ethical Hacking Enthusiast | Python • Java • Django

Pune, IndiaInformation Technology
5roles
43skills
4education

About

Hey there! I’m a 3rd-year Computer Science student who loves building things with code—whether it’s a smart assistant that responds to voice commands, a chatbot that actually talks back, or a clean, user-friendly app that just works. Over the last year, I’ve been learning and experimenting with everything from backend APIs to frontend design, and even diving into AI and cybersecurity. I’ve done some cool hands-on projects like a Jarvis-style virtual assistant, an expense tracker, and a simple PBL platform UI. I also got to explore how tech works in the real world through virtual internships with Deloitte (Cybersecurity) and Tata iQ (AI + Data). I’m always up for learning new things, solving problems, and trying out ideas—big or small. Currently exploring Generative AI, ethical hacking, and how to write better, cleaner code. Let’s connect if you’re into tech, learning, or just want to build something awesome together!

Experience

Python Developer

CODEVEDA Private Limited

2 mos · India

Python Intern

CodeVeda Technologies

Nov 2025 · Remote

Engineered a voice-activated Jarvis assistant, reducing manual system navigation time by 40%. Optimized Python scripts for speech recognition, increasing command processing speed by 30%.

Data Visualization Virtual Intern

Tata Group

Aug 2025 · Remote

Translated complex datasets into four interactive dashboards to highlight key trends for business strategy. Presented strategic insights to leadership, identifying potential revenue growth of 15% through data storytelling.

Student Researcher (STC – Seminar and Technical Communication)

Savitribai Phule Pune University

Presented a seminar and published a paper on Smart Pricing Prediction achieving 92% model accuracy. Analyzed pricing datasets of more than 10,000 records to build predictive algorithms and documented findings.

Cybersecurity Virtual Intern

Deloitte

Investigated a simulated cyber breach by analyzing more than 500 forensic data logs to pinpoint the root cause. Drafted an executive report outlining three critical security risks and recommended mitigation steps.

Education

Savitribai Phule Pune University

Bachelor of Engineering - BE, Computer and Information Sciences and Support Services

Feb 2025

Nutan Maharashtra of Institute and Technology

2023 - 2027

Savitribai Phule Pune University

Bachelor of Engineering (B.E.), Computer Engineering

2023 – 2027

3rd Year Undergraduate Student; CGPA: 8.27/10

Savitribai Phule Pune University

Honours Specialization, Cyber Security

2025 – 2027

Skills

Machine LearningSoftware DevelopmentData ScienceArtificial Intelligence (AI)Web DevelopmentData AnalysisBusiness AnalysisAnalytical SkillsPandas (Software)FlaskAnacondaTkinterPython developerAdobe PhotoshopJavaPythonC/C++SQLJavaScriptHTML/CSSReact.jsNode.jsSpring BootDjangoTailwind CSSJUnitMongoDBPostgreSQLMySQLOraclePandasNumPyMatplotlibScikit-LearnGitDockerJupyter NotebooksPostmanVS CodeWiresharkNmapBurp SuiteMetasploit

Projects

HabitFlow

Developed a responsive habit-tracking web app using React.js and CSS3, improving user retention rates by an estimated 20%. Designed a seamless UI/UX with smooth animations, ensuring sub-100ms load times on GitHub Pages. Technologies: React.js, CSS3, Git, GitHub Pages.

Workquest

Gamified the employee experience by simulating work-life balance scenarios for more than 100 concurrent game states. Constructed backend logic to calculate real-time Burnout Scores and managed a global leaderboard. Technologies: MongoDB, Express, React, Node, REST APIs.

Password Security Analyzer

Devised a credential auditor that evaluates password entropy on a 1–5 scale with 99% accuracy. Implemented real-time validation to enforce security compliance against the top 10 common vulnerabilities. Technologies: Python, Regex, Cryptography Libraries.

Customer Churn Prediction

Architected a Random Forest classifier to predict customer attrition with 88% precision using demographic data. Performed exploratory data analysis on more than 5,000 rows to visualize retention trends and correlations. Technologies: Python, Scikit-Learn, Pandas, Matplotlib.