Tagore Reddy
Luton,Bedfordshire
Summary
Motivated Fraud Analyst touting 1 year of expertise investigating suspicious activity for Wipro Technologies. Knowledgeable resource committed to finding answers and working with clients and interdepartmental personnel. Promoting exemplary skills in project management, analytics and fraud pattern detection.
To secure a challenging position as a Fraud Analyst, leveraging my analytical expertise and industry knowledge to proactively identify and mitigate potential risks. Seeking an opportunity to apply my skills in fraud detection, deep-dive analysis, and trend identification to contribute to the development and implementation of effective risk management strategies. Eager to join a dynamic team where I can utilize my experience in investigating fraudulent activities and generating insightful reports to enhance overall security and protect organizational assets.
Overview
1
1
year of professional experience
1
1
Certification
Work History
Risk and Fraud Analyst
Wipro Technologies Limited
01.2020 - 01.2021
- Utilized default Google tools including Google CIT, Relations Linker, Google Accounts, Payments Verifying UI, and various social media platforms to assess the authenticity of customers and verify the legitimacy of transactions
- Optimized system trust by efficiently reducing fraud exposure for Google Cloud and G Suite clients, achieved through the implementation of user-friendly and trustworthy measures
- Applied effective time management techniques to meet tight deadlines.
- Proved successful working within tight deadlines and a fast-paced environment.
- I served as a pioneer for a product within the initial batch, where I played a key role in creating comprehensive documentation
- Maintained a commitment to staying informed on the latest methodologies and updated guidelines, ensuring a proactive approach to prevent falling behind in the achievement of tasks and targets.
- Facilitated information sharing among team members through regular meetings and discussions, fostering a collaborative work environment focused on continuous improvement.
- Collaborated with cross-functional teams to develop comprehensive anti-fraud policies and procedures.
- Evaluated the effectiveness of current fraud prevention measures, recommending enhancements as necessary based on findings from thorough risk assessments.
- Maintained up-to-date knowledge of regulations related to fraud prevention, ensuring compliance with relevant laws and guidelines.
- Reviewed reports and individual transactions which appeared suspicious to uncover possible fraudulent activity.
- Analyzed large amounts of data to find patterns of fraud and anomalies.
- Reduced fraud losses by implementing effective fraud prevention strategies and monitoring systems.
- Provided training to new team members on fraud detection techniques, enhancing their ability to identify potential threats quickly and accurately.
- Worked flexible hours across night, weekend, and holiday shifts.
- Provided professional services and support in a dynamic work environment.
- Demonstrated respect, friendliness and willingness to help wherever needed.
- Proven ability to learn quickly and adapt to new situations.
- Developed strong organizational and communication skills through coursework and volunteer activities.
- Resolved problems, improved operations and provided exceptional service.
- Assisted with day-to-day operations, working efficiently and productively with all team members.
- Performed risk assessments to determine level of fraud risk and prioritize investigations.
Education
Master of Science - MSc Cyber Security -
University of Hertfordshire
06.2023
Bachelor of Technology - BTech Computer Science Engineering -
PRIST University - India
06.2018
Skills
- Fraud Detection and Analysis
- Loss Prevention
- Transaction and Activity Monitoring
- Multitasking
- Report Writing
- Trend Analysis
- Analytical and Critical Thinking
- Card Verification
Certification
- Java
- C++
- C Programming
Masters Project
A Comparative Analysis between Snort and Suricata IDS in Terms of Performance, This project compares Snort and Suricata in terms of processing and detection rates, considering factors like efficiency, accuracy, effectiveness, false positives, and false negatives. It aims to provide insights for those implementing an IDS system, aiding in software selection by highlighting the pros and cons of each, facilitating informed decision-making., The results for Suricata and Snort involve analyzing a pcap file with network traffic data. The purpose is to use these Intrusion Detection Systems (IDS) to detect potential network intrusions or attacks during the capture of the data. Snort captured a larger volume of network traffic data than Suricata in packet capture and analysis. However, the number of packets and bytes captured doesn't necessarily indicate the effectiveness of the IDS in threat detection. Metrics like accuracy, false positive rate, and false negative rate are more crucial for performance evaluation. Both Snort and Suricata, despite limitations, are effective IDS options, with Snort suitable for smaller organizations and Suricata for larger ones. Careful consideration of organizational needs is key, and supplementing with security measures like firewalls and antivirus software enhances overall cybersecurity.
Personal Interests
- Badminton
- Swimming
- Photography
- Travelling
Languages
Telugu, Hindi
Native language
English
Proficient
C2
Japanese
Beginner
A1
Tamil
Beginner
A1
Timeline
Risk and Fraud Analyst
Wipro Technologies Limited
01.2020 - 01.2021
Master of Science - MSc Cyber Security -
University of Hertfordshire
Bachelor of Technology - BTech Computer Science Engineering -
PRIST University - India
- Java
- C++
- C Programming
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