Soni Sharma

EDUCATION
Bachelor of Technology - Artificial Intelligence And Machine Learning
Indira Gandhi Delhi Technical University for Women
2023 – 2027
CGPA - 8.35
Senior Secondary
Rajkiya Pratibha Vikas Vidyalaya
2022
95.2%
SKILLS
Technical Skills
Programming Language - Python, C++, Java
Libraries - Numpy, Pandas, Matplotlib
Web Dev - HTML, CSS
CS Fundamentals - Data Structures, SQL, OOPs
Soft Skills
Leadership
Event Management
Writing
Coordination
RESEARCH EXPERIENCE
ACM Research Internship
Formal Verification of Health-Critical Wearables for Reliable Data Monitoring
•
Working on a formal verification framework using TLA+ and Z3 SMT Solver, utilizing the
Fitbit dataset with over 3,000 records of health metrics to ensure data integrity and timely
anomaly detection.
09/2024 – present
•
Addressing challenges like sensor noise by modeling real-world conditions and verifying system
robustness for accurate alerts in real-time medical decision-making.
PROJECTS
Currency Converter
•
Designed and developed a responsive website using HTML, CSS, and JavaScript, integrating
APIs and advanced DOM manipulation to enhance real-time functionality, improving site
performance by 40% and reducing load time by 25%.
08/2024
SMS Spam Classifier
•
Developed a spam detection system with Python, Scikit-learn, and Multinomial Naive Bayes,
achieving 97.87% accuracy, automating 10,000+ daily classifications, and saving 100+ manual
hours monthly.
07/2024
•
Built a Streamlit interface with NLTK preprocessing, managing thousands of messages daily
and leveraging NumPy, Pandas, Matplotlib, and Seaborn for insights on 10,000+ messages.
ACHIEVEMENTS AND CERTIFICATES
Amazon Future Engineer scholar
•
Selected as one of the top 500 girls (top 0.1%) in India for the Amazon Future Engineer
Scholarship, receiving exclusive mentorship to boost academic and career growth.
12/2023 – present
Advanced to Phase 2 in the Myntra WeForShe Hackathon
•
Achieved Top 4% from 30,000+ teams in a national-level competition by designing an AI-based
outfit recommendation model and creating a virtual prototype using Figma and Canva.
06/2024 – 07/2024
Python and Machine Learning Summer Internship
•
Conducted by: Centre of Excellence- Artificial Intelligence ,IGDTUW
06/2024 – 07/2024
•
Created a spam detection model with Python and Naive Bayes, achieving 97.87% accuracy.
Implemented a Streamlit interface to flag 10,000+ spam messages daily, saving 100+ hours of
manual review.
PUBLICATIONS
SMS/Email Spam Classifier
•
Written a research paper on "Spam SMS/Email Detection using Machine Learning", achieving 100% precision with a
real-time Streamlit classifier; pending publication.
ROLES AND RESPONSIBILITIES
Member | LeanIN
•
Organized 10+ workshops on technical topics, collaborating with 20+ team members to plan and
execute events, fostering cross-disciplinary learning and building a tech community of 500+
participants