Delhi, India
I'm a final year B.Tech student pursuing AI & Data Science, with experience across data engineering, analytics, machine learning, BI systems, and design through internships and projects. Currently, I’m working as a Data Engineering Trainee at Intellicus Technologies, where I contribute to the Intellicus BI product by engineering scalable SQL Server data pipelines, automating ETL workflows, and deploying enterprise BI models. Previously, I worked as a Patent Analytics Intern at the Indian Patent Office (O/o CGPDTM), Government of India, where I analyzed patent datasets, performed trend mapping, and generated insights to support innovation and IP research. Before that, as a Data Analyst Intern at DRDO, I handled large-scale project data, conducted statistical and economic analysis, and delivered insights to support strategic decision-making. Beyond analytics, I’ve contributed to community-building and creative roles, from designing content for animal welfare NGOs and digital marketing agencies to organizing Google Developers' Events. What I bring to the table: - Programming: Python, SQL (PostgreSQL, MySQL) - Data Analytics & Visualization: Power BI, Excel, Pandas, NumPy, Matplotlib, Seaborn - Machine Learning & Computer Vision: Scikit-Learn, Keras, TensorFlow, OpenCV - Design: Figma, Canva, CapCut Always open to connecting, collaborating, and exploring ideas that bring data, design, and decision-making together!🤍
- Crafting compelling visuals that drive awareness, inspire action, and boost engagement. - Designing impactful social media creatives that strengthen brand identity and amplify our mission. - Leveraging design to attract donors and grow community support for animal welfare.
- Cleaned, structured, and analyzed 10,000+ Indian patent records to identify filing trends, applicant patterns, and technology domains. - Developed Python-based preprocessing scripts and Power BI dashboards that automated monthly IP reporting and cut manual effort by 75%. - Learned core patent concepts including IPC classification, prior-art search basics, patent lifecycle, and how patent data is evaluated inside the Patent Office.
- Selected for a high-impact Economic Impact Analysis (EIA), supporting strategic evaluation of DRDO initiatives. - Processed, cleaned, and structured 500+ project, meeting, and progress records using Python, SQL, and Excel, improving data accessibility and workflow efficiency by 40%. - Built Power BI and Excel dashboards for project progress and governance compliance, enabling real-time insights for directors and strengthening decision-making.