Biometric Identification and Recognition using Deep Learning Techniques
Summary
Researched and developed a biometric authentication system leveraging CNN+LSTM on fused features, achieving 96.2% accuracy across 123 subjects.
About
Highly analytical and results-driven Data Analyst and Software Developer Intern with a strong foundation in Python, SQL, and data visualization tools. Proven ability to transform complex datasets, automate analytical processes, and derive actionable insights, as demonstrated by optimizing SnowSQL queries by 40% and boosting marketing efficiency by 15%. Eager to leverage expertise in data engineering, machine learning, and statistical analysis to contribute to innovative data-driven solutions in a challenging environment.
Work
GMR Group (IGI Airport)
|Software Developer Intern
Delhi, Delhi, India
→
Summary
Designed and implemented a 5S methodology portal using Django, significantly improving operational efficiency and decision-making processes for compliance teams.
Highlights
Designed and implemented a 5S methodology portal with audit validation and data listing using Django, streamlining operational workflows.
Enhanced user experience with a Bootstrap-responsive design and intuitive UI/UX flows, reducing task completion time by 20%.
Developed and deployed data-driven dashboards for audits, improving decision-making speed and transparency across compliance teams.
Fere AI
|Data Analytics and Engineering Intern
Delhi, Delhi, India
→
Summary
Led real-time market sentiment analysis and optimized data processing pipelines to enhance product analytics and accelerate decision-making.
Highlights
Developed Python scripts to automate real-time market sentiment analysis, integrating data from Twitter, Reddit, and Telegram APIs to provide immediate insights.
Transformed complex JSON/CSV datasets using Pandas and SQL, leveraging Snowflake to enhance product analytics performance and data accessibility.
Optimized SnowSQL queries, significantly cutting report generation time by 40% and enabling faster, data-driven trading and product decision-making.
Volunteer
IEEE Delhi Chapter
|Executive Committee Member
Delhi, Delhi, India
→
Summary
Managed and executed the IEEE Comsoc School Series Event, demonstrating leadership and organizational skills within the chapter.
Highlights
Managed the IEEE Comsoc School Series Event, coordinating logistics and ensuring successful execution for the IEEE Delhi Chapter.
Abhyuday, IIT BOMBAY
|College Representative
Delhi, Delhi, India
→
Summary
Actively contributed to the College Representative program, fostering collaboration and outreach initiatives for Abhyuday, IIT BOMBAY.
Highlights
Actively contributed to the College Representative program, enhancing outreach and engagement efforts for Abhyuday, IIT BOMBAY.
Education
Netaji Subhas University of Technology
Delhi, Delhi, India
→
B.Tech
Instrumentation and Control Engineering
Grade: 7.58/10
St. Lawrence Convent School
Delhi, Delhi, India
→
High School Diploma
Science (CBSE)
Grade: Class XII: 86.60%, Class X: 93.20%
Awards
Best Paper Award
Awarded By
International Conference on Emerging Smart Technology for Sustainable Development
Recognized for innovative biometric identification research, highlighting contributions to emerging smart technology for sustainable development.
Publications
Certificates
Introduction to C++ and Data Structures in C++
Issued By
Coding Ninjas
Build Responsive Real-World Websites with HTML and CSS
Issued By
UDEMY
Intermediate Python for Developers
Issued By
Datacamp
Skills
Data Visualization & BI Tools
Power BI, Matplotlib, Seaborn.
Programming & Analytics Tools
Python, SQL, Excel, Pandas, NumPy, Scikit-learn.
Statistical & Product Analytics
Retention Analysis, KPI Tracking, Customer Segmentation, A/B Testing.
Data Engineering
Snowflake, Dask, RESTful APIs, Data Pipelines, JSON/CSV Processing.
Databases & Querying
MySQL, PostgreSQL, MongoDB, SQLAlchemy.
Projects
Real Estate Pipeline
→
Summary
Developed an automated data pipeline for real estate records, integrating various APIs and advanced processing techniques to support market trend analysis and investment decisions.
Music Trends Visualizer
→
Summary
Engineered an interactive Power BI dashboard to analyze Spotify music trends, integrating API data and utilizing custom visuals for dynamic, user-friendly data storytelling.
MarketSphere (Customer Segmentation)
→
Summary
Developed a customer segmentation system by processing transactional data, applying K-Means clustering, and visualizing insights to optimize marketing and revenue strategies.
Customer Churn Analysis
→
Summary
Conducted a comprehensive customer churn analysis, building predictive models, and delivering actionable insights through an interactive Power BI dashboard.