Ashwini Managuli Email & Phone Number

San Francisco, CA, US

• Spearheaded the application of advanced data analysis techniques, utilizing regular expressions(regex), spaCy, and Yake, to extract critical pricing data and pinpoint risk-related keywords.
• Integrated natural language processing (NLP) techniques, including spaCy, to enhance the accuracyand efficiency of critical pricing data extraction.
• Realized a notable 40% increase in profit margins through the application of data-driven insights,guiding strategic trading decisions.
• Employed Azure Sentiment Analysis and Opinion Mining to evaluate trader sentiment and analyze theimpact of external factors on trading. Resulted in an impressive 15% enhancement in decisionaccuracy.
• Collaborated closely with a dynamic team to conceive and implement robust risk managementstrategies, leading to a commendable 25% reduction in overall portfolio risk.
• Meticulously managed and maintained a SQL database for comprehensive tracking of trade signals,executed trades, and profitability. This initiative resulted in a significant 30% reduction in dataretrieval times.

Bangalore Urban, Karnataka, India

• Developed an Android application using Kotlin, leveraging Augmented Reality and Machine Learningtechniques for document customization.
• Reduced errors by 90% through the implementation of a Machine Learning-based error detection andcorrection system.
• Implemented an application utilizing OCR (Optical Character Recognition) and NLP (NaturalLanguage Processing) to scan racers' IDs and retrieve relevant information for AMG track races.
• Enhanced information retrieval accuracy and efficiency using NLP models for context understandingand data extraction.
• Conducted extensive data collection and preprocessing to train a Deep Learning model for occupantsafety, addressing n-cap regulations.
• Utilized TensorFlow and PyTorch frameworks for model development and optimization.

Bangalore Urban, Karnataka, India

• Developed a user-friendly dashboard for service administrators to efficiently manage employeeauthentication.
• Implemented the ability for administrators to securely upload and manage employees’ PEM files utilizing Amazon AWS services.
• Played a major role in the backend team in developing an e-commerce website using Django.

Bangalore Urban, Karnataka, India

• Implemented a face recognition application incorporating Eigenfaces, Fisherfaces and LBHP algorithmsachieving a 70% accuracy.
• Utilized advanced facial recognition algorithms to optimize the application’s performance with 90% accuracy.

Master Of Science - Ms, Computer Science

Bachelor Of Engineering - Be, Computer Science