Jyoti Arora

Jyoti Arora is a Senior Associate at PwC's CyberSecurity and Forensics Practice, specializing in data-driven, advanced analytics approaches for client problem-solving.

Jyoti has led various projects utilizing machine learning algorithms for fraud prevention and detection, empowering clients to redefine fraud strategies and mitigate risks while optimizing costs and compliance.

With a strong technical acumen, Jyoti continually seeks innovative solutions for client challenges, keeping up-to-date with the latest tools and technologies.

Her previous experience includes tackling diverse client problems such as supply chain optimization, market entry strategies, customer targeting, and operational efficiency across various industries.

She holds a Master's degree in Economics from Delhi School of Economics and a Bachelor's degree in Economics from Lady Shri Ram College For Women, along with a background from Delhi Public School - R.K. Puram.

Jyoti has held roles at different levels in PwC, ranging from Intern to Manager, showcasing her growth and expertise in the field of cybersecurity, forensics, and fraud prevention.

Her technical skills include proficiency in R, Python, PySpark, SQL, Tableau, PowerBI, Llamasoft, and IBM Content Analysis, enabling her to deliver impactful outcomes for clients.

In terms of project experience, Jyoti has worked on a wide array of areas such as Anomaly Detection, Predictive Modeling, Text Mining, Segmentation, Supply Chain Optimization, Network Optimization, Graph Analytics, Natural Language Processing, and Market Basket Analysis across industries like Financial Services, Healthcare, Retail, and Industrial Products.