Esha Mohindra
AI Engineer IV @ Charles Schwab
About
Currently contributing to Charles Schwab as an AI Engineer, leveraging skills in generative AI, ETL, and prompt engineering to support innovative technological solutions. Graduate of the University of Maryland, where the Master’s program in Management Information Systems honed technical and strategic competencies critical to the industry. Previous roles at Navy Federal Credit Union included work as a Gen AI Engineer and Machine Learning Engineer, where the focus was on advancing AI and machine learning applications. Dedicated to applying cutting-edge AI methodologies to solve complex challenges and drive impactful results. Passionate about harnessing the transformative power of AI for meaningful advancements.
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United States
Information Technology & Services
Extract, Transform, Load (ETL), Generative AI, Prompt Engineering, Git, Artificial Intelligence (AI), Deep Learning, Software Development, Neural Networks, Data Engineering, TensorFlow, Recommender Systems, Programming, Information Retrieval, Cloud Computing, Natural Language Processing (NLP), Data Visualization, Oracle Database, Business Analysis, Agile Methodologies, Trading Systems
Experience
AI Engineer IV
Charles Schwab
California, United States
Gen AI Engineer
Navy Federal Credit Union
Vienna, Virginia, United States
Machine Learning Engineer
Navy Federal Credit Union
Vienna, Virginia, United States
Summer Associate
Navy Federal Credit Union
United States
Research Assistant
College of Information (INFO), University of Maryland
Maryland, United States
Teaching Assistant
University of Maryland - Robert H. Smith School of Business
United States
Software Engineer
HSBC
Pune, Maharashtra, India
• Reduced resource time per pod by 30% by devising real-time monitoring system to check critical reporting. • Minimized time spent per day from 6 hours to 1 hour by automating drafting of reconciliation reports of all trades using SQL. • Reduced customer queries and downtime by 18% by building a log scraping tool to monitor logs. • Designed a carbon footprint monitoring system using PySQLite to send inbox cleaning reminder emails to all HSBC employees.
Data Science Intern
Ansal Buildwell Ltd
• Conceptualized sales prediction model using Naïve Bayes to predict suitable locations for building new residential projects. • Analyzed the macro-economic factors on Ansal’s Housing project prices using CNN and ANN algorithms. • Aided Ansal’s Analytics team in creating a dashboard powered by Tableau for visualizing a bird’s eye view of all ongoing projects.
Education
University of Maryland - Robert H. Smith School of Business
Management Information Systems, General
Pune Institute of Computer Technology
Computer Engineering
Delhi Public School - R. K. Puram
Esha Mohindra's Contact Information
Phone
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