THALARI NIHITH NOVAH

Adaptable professional with a quick-learning ability and a talent for adjusting to new environments. Skilled in rapidly acquiring new knowledge and applying it effectively. Driven by a passion for continuous learning and successfully navigating change.

• Participated in MLRIT Inventron 2k23, where I developed a healthcare project that received special recognition.
• Completed an Industry-Oriented Civic Dashboard Internship Program in 'Full Stack Development' organized by SWECHA (2022).
• Cybersecurity Virtual Internship Certificate (Supported by Palo Alto) by AICTE-Edu Skills. (2k23).
• CCBP 4.0(2k23)- Malicious Email Investigation using MALTEGO (Ethical Hacking).
• CCBP 4.0(2k24)- Data Analyst Mega Workshop for Building dashboard by using Power BI, Kaggle and Excel.

1. Comparative study of machine learning algorithms for fraud detection in credit card transactions

Technology: Python, NumPy, Pandas, Scikit-learn, and logistic regression

2. Fraudulent transaction detection using machine learning involves analyzing transaction data to identify anomalies that indicate fraud, and algorithms like logistic regression or random forest classify transactions as genuine or fraudulent

3. A website to connect employers with workers. This website connects skilled technicians, such as electricians and plumbers, with local customers. Technicians can create profiles, which makes it easy for customers to access them The platform enables easy communication and service requests