About
I am a Computer Science Engineering (Cybersecurity) graduate passionate about Data Analytics, Full Stack Development, Software Quality Assurance. I enjoy transforming data into actionable business insights, building scalable applications, and delivering reliable software solutions through analytical thinking and problem-solving. My technical expertise includes Python, SQL, Power BI, React.js, Node.js, MongoDB, JavaScript, Software Testing, JIRA, Git, and GitHub. Through academic, research, and project-based experiences, I have developed strong skills in data analysis, business intelligence, dashboard development, full-stack application development, and software quality assurance. 🚆 RailOps Intelligence Platform (Full Stack Project) Developed an enterprise-level rail wagon management platform using React.js, Node.js, MongoDB, and Tailwind CSS. Built predictive maintenance analytics, SLA monitoring, cost forecasting, operational dashboards, and fleet intelligence modules to support data-driven decision-making. 📊 Vendor Sales Intelligence Dashboard Analyzed 500K+ sales, inventory, and vendor transaction records using Python, SQL, and Power BI. Built interactive dashboards with 15+ KPIs to evaluate vendor performance, inventory trends, profitability, and business operations. Analyzed 25K+ user records using Python, SQL, and Power BI to measure user acquisition, onboarding, conversion, retention, churn, and revenue performance. Developed executive dashboards supporting product and business growth decisions. 🔐 Cybersecurity & Research Co-authored research publications presented at AIDCon 2025, including: • Proactive Ransomware Early Warning System • Proposed Model to Identify Drug Trafficking on Social Media These publications on MRIIndia reflect my interest in cybersecurity, threat detection, and technology-driven innovation. 🏆 Certifications HackerRank SQL (Basic, Intermediate & Advanced), Deloitte Data Analyst Job Simulation, TATA Cybersecurity Analyst Job Simulation, Microsoft Career Essentials in Generative AI, Microsoft Career Essentials in Software Development, Zscaler Cybersecurity Fundamentals Associate, and Fundamentals of Python. I am actively seeking opportunities in Data Analytics, Full Stack Development, and QA/Test Analysis where I can leverage technology, analytics, and problem-solving to create meaningful business impact while continuing to learn and grow as a technology professional. Skills: Python • SQL • Power BI • React.js • Node.js • MongoDB • Data Analytics • Business Intelligence • Software Testing • JIRA • Git/GitHub • SDLC
Work experience
Full Stack Developer at Clustor Computing, Feb 2026 - Present · 5 mos, Nagpur, • Engineered and deployed scalable full-stack features using React.js, Node.js, and MongoDB, reducing page load times by ~30% through component optimization and lazy loading. • Led sprint delivery across a cross-functional Agile/Scrum team, hitting 100% of sprint goals over 4 consecutive cycles with zero critical blockers. • Implemented RESTful API integrations for 3+ third-party services, improving platform data accuracy and real-time responsiveness. • Wrote and maintained unit + integration tests, achieving 85%+ code coverage and reducing production bug rates by 20%. • Overhauled CI/CD pipeline configuration using GitHub Actions and deployment automation, cutting release cycle time by 25% and eliminating manual deployment errors.
Data Analyst at LetsGrowMore, Jun 2025 - Jun 2025 · 1 mo, Nagpur, • Analyzed business datasets using Python (Pandas, NumPy) and SQL to uncover actionable trends for client reporting. • Built Power BI dashboards presenting 8+ KPIs on user behavior and sales performance, used by team leads for weekly reviews. • Cleaned and preprocessed 10,000+ records across multiple data sources, improving reporting accuracy by 15%. • Delivered data insights summarized in weekly presentations, strengthening stakeholder communication skills. • Presented data findings to senior stakeholders in structured weekly reports, translating technical insights into actionable business recommendations for non-technical audiences
