Data‑Driven Full‑Stack Developer | React | Node.js | SQL | Python | Building end‑to‑end web apps & analytical dashboards
I'm a Data-Driven Full-Stack Developer who builds web applications and analytical systems that make decision-making easier—clean, responsive interfaces on the front and reliable, well-structured APIs and databases at the back. My work connects software development with data, from exam platforms to computer vision and cryptocurrency dashboards.I started in business and data analysis, working with tools like Power BI, SQL, and Python to turn raw data into insights for stakeholders. While building dashboards and reports, I kept seeing opportunities to go beyond analysis and create complete systems, which led me deeper into web development with React, Node.js, and SQL.I've developed an online examination platform with authentication and role-based dashboards, a plant recognition system using CNN that reaches around 92% accuracy, and a cryptocurrency analysis solution that turns complex market data into clear visual stories. I enjoy designing flows end-to-end—database schema, backend APIs, frontend components, and analytics views that people actually use.My stack includes React, JavaScript, HTML, CSS, Node.js, Express, REST APIs, SQL databases, and Python for scripting, data analysis, and machine learning. I care about code readability, structured debugging, and profiling performance instead of just making things "work once".What sets me apart is a data-first mindset: I think in terms of inputs, edge cases, metrics, and feedback loops. Whether it's improving reporting efficiency by ~25% with better dashboards or increasing model accuracy for plant recognition, I focus on measurable improvements, not just features shipped.I'm focused on Full-Stack Developer and Software Engineer roles where I can build and iterate on web applications using React, Node.js, SQL, and Python, especially in product and data-heavy environments.
PW (PhysicsWallah)
2 mos
Cryptocurrency Volatility Analysis & Reporting –Analyzed large datasets to identify trends, patterns, and risk indicators. –Built Power BI dashboards and visual reports to communicate insights to non-technical stakeholders. –Improved reporting efficiency by ~25% through standardized data cleaning and visualization workflows. –Applied structured problem-solving to translate analytical outputs into business-friendly summaries.
Self Employed
3 mos · India
Built analytical workflows using Excel, SQL, Power BI, and Python to explore datasets, define KPIs, and present insights in a structured way. Practiced requirement gathering, AS-IS/TO-BE workflows, user stories, and BRD documentation to turn business problems into data models, dashboards, or system features. Used tools such as Excel, Power BI, Jira, Confluence, Miro, Figma, and Draw.io to support process mapping, UX planning, and reporting deliverables. Developed communication and analytical skills through daily exercises and documentation practice, building a strong foundation for data-driven product and engineering work.
Self Employed
6 mos · India
• Working on a second BA case study based on improving a common digital process (IRCTC booking / banking login / e-commerce checkout). • Documenting AS-IS and TO-BE workflows. • Writing user stories and acceptance criteria. • Creating wireframes and a mini dashboard. • Practicing SQL queries to extract business insights.
United Institute of Technology
6 mos · Allahabad, Uttar Pradesh, India
- Developed and coded a web-based solution to identify plant species using leaf images, leveraging AI and Convolutional Neural Networks (CNN). - Improved image recognition accuracy by 92% through CNN optimization. - Automated classification pipeline, increasing identification speed and accuracy for botanical studies. - Collaborated with a multidisciplinary team to optimize model performance and integrate Python-based machine learning techniques.
United Institute of Technology
3 mos · Prayagraj
Online Examination Platform - Automated exam creation and grading process, reducing administrative effort by 60%. - Integrated a secure authentication system serving 500+ users for streamlined access and enhanced security. - Designed intuitive dashboards to monitor exam performance and provide real-time analytics.
internshala
2 mos
–Completed 6-week Machine Learning training with focus on Python, data exploration, regression, classification, clustering, and ensemble techniques. –Gained practical exposure to supervised & unsupervised learning workflows. –Secured 83% in final assessment, validating strong ML and analytical foundations.
Self Employed
2 yrs 6 mos · India
Designed and developed full-stack web applications and data-driven systems using React, Node.js, Express, SQL, and Python, taking features from idea to deployment. Built dashboards and analytical views that reduced manual reporting and improved visibility into key metrics for users and stakeholders. Applied structured problem-solving and debugging across frontend and backend to improve performance, reliability, and user experience.
Kamadgiri Software Solutions (P) Ltd.
5 mos · Chitrakoot, Sitapur Mafi, Uttar Pradesh
Indian Tadka–Recipe of Bharat - Built a user-friendly food recipe platform with interactive learning modules for easy information access. - Built backend and data structures to manage and update recipe content efficiently.” - Improved user engagement by adding feedback forms and direct support channels.
Omnipotent Software Solutions
Oct 2025 – Present
Developed responsive frontend interfaces using React.js, TypeScript, and REST APIs; built backend workflows and integrated APIs using Python and SQL; collaborated with developers to debug issues, improve usability, and optimize application performance.
Bachelor's degree, Computer Science
Aug 2021 - Jul 2024
Diploma of Education, Information Technology
Jul 2018 - Aug 2021
Secondary (X)
Mar 2016 - Mar 2017
Bachelor of Technology, Computer Science
Aug 2021 – Jul 2024
CGPA: 8.03/10
Diploma, Information Technology
Jul 2018 – Aug 2021
Percentage: 83
Developed a sentiment analysis pipeline using Python and SQL to analyze customer review texts from multiple e-commerce platforms. Achieved 90% classification accuracy for positive/negative feedback and enabled business teams to identify top improvement areas in customer service. Delivered interactive dashboards with review trends and actionable recommendations. (Skills: Python, SQL, Machine Learning, Data Visualization)
Developed an end-to-end data analytics solution for customer segmentation and sales performance tracking using Python, SQL, Excel, and Power BI. Key Achievements: • Analyzed 50,000+ customer records using Python (Pandas, NumPy) and SQL queries, identifying 5 distinct customer segments based on purchasing behavior and demographics • Built interactive Power BI dashboards with 15+ KPI visualizations, enabling real-time monitoring of sales trends, customer lifetime value, and segment performance • Increased data processing efficiency by 70% through automated ETL pipelines, reducing monthly reporting time from 40 hours to 12 hours • Delivered actionable insights that led to a 25% improvement in targeted marketing campaign ROI and 18% increase in customer retention rates • Implemented predictive analytics using Machine Learning models (Random Forest) achieving 85% accuracy in customer churn prediction Technologies Used: Python (Pandas, NumPy, Scikit-learn), SQL (MySQL), Excel (Pivot Tables, Advanced Functions), Power BI (DAX, Custom Visualizations), Machine Learning
Created an end-to-end Power BI dashboard for a major retail chain, analyzing sales trends, product performance, and inventory turnover across 120 stores. Automated weekly data ingestion, resulting in a 30% reduction in reporting time. Provided actionable insights that helped optimize stock levels and increase quarterly revenue by 15%. (Skills: Power BI, Excel, SQL, Data Visualization)
Developed an AI-based face detection application using computer vision concepts; processed image inputs and implemented real-time face detection workflows; improved detection accuracy through optimized processing logic. Technologies: Python.
Built a responsive portfolio website with modern UI components and structured layouts; implemented reusable frontend components and optimized responsiveness and navigation for improved user experience. Technologies: TypeScript, React.js.
Developed a SQL-focused application for structured query handling and data operations; implemented CRUD operations and optimized database interaction workflows; improved data handling efficiency through structured query execution. Technologies: Python, SQL.