Headline

Full-Stack Developer & Data Science Engineer | Building scalable backend systems & AI-driven solutions | DRDO SAG Intern | Python | ML | React | MongoDB | Helping teams turn data into impact

About

🚀 Full-Stack Developer | Data Science Engineer | ML Specialist | Python | Backend Engineering Highly motivated 4th-year B.Tech student with strong hands-on experience in software development, data science, and machine learning. I build scalable backend systems, develop data-driven solutions, and create impactful data visualizations that drive real-world impact. 💼 Professional Experience: • Data Science Intern @ DRDO – Developed neural network models for defense research, processing 50,000+ data points to improve analytics accuracy by 25%. Worked with Python, NumPy, and ML algorithms on national security projects. • Marketing & Data Analytics Intern @ REVE CUILT – Designed 50+ creative campaigns, analyzed consumer insights across 10,000+ survey responses, tracked KPIs with Power BI. Recognized as Intern of the Month in first month. • Full-Stack Development @ Infosys Springboard – Completed 12-week intensive program. Built 5+ production-ready projects using React, Node.js, and MongoDB. 🎓 Key Expertise: • Backend: Java, Python, Node.js, Express, SQL, NoSQL, MongoDB, RESTful APIs, JWT • Data Science & ML: Neural Networks, Python, Power BI, Tableau, ML Models, LLMs • Full-Stack: React.js, React Flow, HTML, CSS, VBA, ETL Pipelines • AI/ML Projects: LLM Applications, Google Gemini Pro, LangChain, Vector Databases 🏆 Achievements: ✓ McKinsey.org Forward Program ✓ Infosys Springboard Pragati Cohort 3 ✓ Intern of the Month @ REVE CUILT ✓ 2nd Position at Tech Fest PRADARSHAN 4.0 ✓ LeetCode Data Navigator Badge (100+ SQL problems) 📊 Notable Projects: • Full-Stack Health Analytics Platform (Python, Node.js, React, MongoDB) • PDF Document QA System with LangChain & Cassandra (95% query accuracy) • Safety Superheroes Educational Web App (React, TypeScript) – 4 modules, zero vulnerabilities 💡 Currently seeking: Full-time roles in Backend Development, Data Science, and Full-Stack Development. 🎯 Passionate about: Problem-solving, continuous learning, building tech for women, and creating data-driven solutions. Let's connect! Open to collaborations, mentorship, and opportunities. 🚀

Location

Delhi

Work experience

Intern at Infosys Springboard, Feb 2026 - Present · 3 mos, Remote, • Completed the Infosys Springboard Virtual Internship 6.0 program, focusing on cryptocurrency portfolio management and blockchain technology. • Analyzed 500+ digital assets and performed portfolio optimization with risk assessment, achieving a simulated 15% portfolio growth over 8 weeks. • Built a full-stack health analytics platform using Python, Node.js, React, and MongoDB – reduced data retrieval time by 40% through optimized queries. • Developed an AI-powered PDF Document QA System using LangChain and Cassandra – achieved 95% query accuracy in semantic search. • Created a Text-to-SQL LLM Application using Google Gemini Pro for real-time database querying. • Completed 12-week intensive program covering software development, data analysis, and agile practices.

SAG(SCIENTIFIC ANALYSIS GROUP ) Intern at Defence Research and Development Organisation (DRDO), Dec 2025 - Present · 5 mos, Civil lines, Delhi, India, • Developed neural network models for defense research applications, processing 50,000+ data points and improving analytics accuracy by 25%. • Worked with Python, NumPy, and advanced ML algorithms on national security projects at DRDO's Scientific Analysis Group. • Collaborated with senior scientists on data-driven cybersecurity and cryptography research initiatives. • Applied machine learning techniques to analyze complex datasets and generate actionable intelligence reports.

Marketing Design & Data Analytics Intern at REVE CULT, Sep 2025 - Dec 2025 · 4 mos, Remote, • Designed engaging social media creatives, product mockups, and marketing materials using design tools • Researched consumer insights targeting Gen Z and working women demographics • Analyzed social media and campaign performance data to inform data-driven marketing strategies • Collaborated with Product Development and Marketing teams to implement creative strategies • Utilized Power BI and data visualization techniques to track KPIs and measure campaign effectiveness

Marketing Design Intern at REVE CULT, Sep 2025 - Dec 2025 · 4 mos, ● Designed engaging social media creatives, product mockups, and marketing materials ● Researched consumer insights targeting Gen Z and working women ● Analyzed social media and campaign performance data to inform strategy ● Collaborated with Product Development and Marketing teams to implement data-driven, creative strategies

Marketing Specialist at REVE CULT, Sep 2025 - Dec 2025 · 4 mos, Created data-driven social media creatives and marketing assets using consumer and market research. Analyzed campaign performance metrics to optimize strategy and collaborated with cross-functional marketing teams.

Internship Trainee at InternPe, Jun 2023 - Aug 2023 · 3 mos, Delhi, India, • Developed and optimized Java queries, resulting in positive feedback currently under testing for implementation • Gained in-depth industry knowledge of Java programming through continuous learning and practical application • Developed and submitted a Java-based game incorporating core programming concepts • Collaborated with cross-functional teams to seamlessly integrate queries for internal application

Java Specialist at InternPe, Jun 2023 - Aug 2023 · 3 mos, ● Developed and optimized Java queries, resulting in positive feedback; currently under testing for implementation. ● Gained in-depth industry knowledge of Java programming through continuous learning and practical application. ● Developed and submitted a Java-based game incorporating core programming concepts. ● Collaborated with cross-functional teams to seamlessly integrate their queries that were required for internal application.

Education

Bachelor of Technology - BTech, Computer Science, SGT UNIVERSITY

data structures and algorithm with python, Coding Ninjas