About Me
I'm a final-year MCA student specializing in AI/ML with hands-on experience in building scalable, real-time fraud detection systems and machine learning solutions.
As an AI/ML Data Scientist, I have a proven track record in developing high-precision models (up to 95% fraud detection accuracy), deploying REST APIs, and visualizing fraud trends via interactive dashboards. I'm skilled in translating complex data into actionable insights, with deployments on AWS using Docker. I'm passionate about privacy-compliant AI innovation, large-scale data analysis, and building secure, transparent machine learning solutions.
AI & ML
Experienced in developing machine learning models with high accuracy for real-world applications.
Development
Proficient in Python and web development technologies to create responsive and functional applications.
Data Science
Skilled in analyzing large datasets and extracting valuable insights for business decisions.
Visualization
Creating interactive dashboards and visualizations to communicate complex data effectively.
Skills
My technical expertise and capabilities
Experience
My professional journey in the field of AI and machine learning.
Remote
- Achieved 90%+ accuracy in sentiment classification using DistilBERT, deployed via Flask API.
- Reduced manual feedback analysis time by 40% through automated sentiment chatbot implementation.
- Improved customer sentiment understanding by 85% by providing instant analysis using the developed chatbot.
- Decreased API latency by 15% through optimized DistilBERT model deployment in Flask.
Projects
Showcasing my work in AI, ML, Web Development, and Data Visualization
QR Code Attendance System
A dynamic QR code-based attendance tracking system for educational institutions
Multiple Responsive Web Pages
Collection of responsive web pages designed for optimal viewing across devices
Sentiment Analysis Chatbot
AI-powered chatbot that analyzes and responds based on user sentiment
Ad Click Fraud Detection
Machine learning system to identify fraudulent ad clicks with high accuracy
BERT-Powered LLM for Comment Flagging
Fine-tuned BERT model to detect fraudulent ad comments and metadata
Ad Fraud Trend Dashboard
Interactive visualization tool for monitoring fraud trends across segments
Education
My academic journey and educational qualifications.
Master of Computer Applications (MCA)
Presidency University, Bengaluru
Computer Applications
Bachelor of Commerce (BCom)
Sri Venkateswara University, Tirupati
Computer Applications
Certifications
Master Course in Full Stack Development
Great Learning
Data visualization with Power BI
Great Learning
AWS for Beginners
Great Learning
Contact Me
Get in touch for opportunities or collaborations
Contact Information
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