Aswin S

Bengaluru EV adoption and air pollution forecast 

Aug 2025 – Oct 2025

• Analyzed EV adoption trends (2018–2024), identifying a 25% reduction in PM2.5 and NO₂ levels associated with increased electric vehicle usage
• Developed predictive insights for sustainable urban planning through 2035 using advanced data analysis and forecasting techniques.
• Enhanced air quality forecast accuracy by 30% using Python and statistical modeling, supporting data-driven policy decision-making
• Tech: Python, Pandas, NumPy, statistical modeling, time series forecasting, SQL, Tableau, Power BI

UPI fraud detection using machine learning

Jan 2025 – Apr 2025

• Designed and deployed a real-time UPI fraud detection system using logistic regression and random forest, improving detection accuracy by 25%
• Applied SMOTE and feature engineering to handle class imbalance, reducing false positives by 30%, and improving model robustness
• Built a web-based application with API integration for platforms like Google Pay, increasing fraud prevention efficiency by 40%
• Tech: Python, Scikit-learn, Pandas, SMOTE, Flask, REST APIs, SQL, Git

Smart traffic monitoring system

Feb 2025 – Apr 2025

• Architected a smart traffic monitoring system using IoT and machine learning, improving traffic flow efficiency by 25%
• Engineered real-time analytics pipelines with Python and Flask, enabling a 40% faster response to congestion events
• Generated actionable insights that reduced average commute times by 15% in simulated urban environments
• Tech: Python, Flask, IoT Sensors, Real-time Data Processing, Machine Learning, SQL, Dashboarding

Blockchain-based banking transaction system 

Sep 2024 – Dec 2024

• Developed a blockchain-based banking transaction system using Ethereum and Solidity, improving transaction security by 50%
• Implemented smart contracts that accelerated transaction processing speed by 30%, enabling near real-time operations
• Applied cryptographic techniques to strengthen user data protection and reduce fraud incidents by 40%
• Tech: Ethereum, Solidity, smart contracts, cryptography, Web3, Python

• Data science, 08/01/23, https://drive.google.com/file/d/1fCvw_R6NI2CfjgbFmJOMZw2Yv5eYyZOI/view?usp=drivesdk
• Preparing Data for Analysis with Microsoft Excel, 06/01/25, https://www.coursera.org/account/accomplishments/verify/MVMTY56FZ2F9

• Languages: Python, C/C++, Solidity
• Databases: MySQL, PostgreSQL, SQL
• Tools: Tableau, Power BI, MS Excel, Apache Airflow, Git
• Frameworks/Libraries: Pandas, NumPy, Scikit-learn, Flask
• Domains: Data Analysis, Data Visualization, Machine Learning, Time Series Forecasting, AI/ML