Aakash Sundaresan
Technical Consultant | Intueor | UC Berkeley | Analytics | Data Science | Machine Learning
- Role
- Technical Consultant at Intueor Consulting, Inc.
- Location
- Berkeley, CA, US
- LinkedIn followers
- 500 followers
About Aakash Sundaresan
Technical Consultant at Intueor Consulting | UC Berkeley Master of Analytics…
Experience
Technical Consultant
May 2023 — Present · San Francisco, CA, US
ERP Assessment and Analysis • Analyzed high-volume ticketing system for Major Public Transportation Agency processing daily requests across 450K+ record database. Developed regression models (Linear Regression, XGBoost, Random Forests, Neural Networks) using Python/scikit-learn predicting customer wait times with 95% accuracy. • Conducted workforce analysis comparing predicted wait times against industry benchmarks using statistical testing. Identified staffing gaps during peak hours enabling data-driven resource allocation that reduced average wait times by 35%. DataEagle- Automated Web Scraper • Architected robust data pipeline using Selenium to scrape structured data from 100+ agency websites. Implemented K-means clustering to automatically categorize content and detect anomalies, replacing manual processes requiring 40+ hours weekly. • Transformed raw HTML into pandas DataFrames with NLP preprocessing and feature engineering. Integrated Elasticsearch for full-text search and real-time indexing, leveraged AWS S3 for secure storage and AWS Amplify for frontend hosting. Developed interactive dashboards with search functionality that automated business development, reducing manual collection time by 85% and increasing lead conversion by 22%. Adkar Dashboard Development: • Built an end-to-end change management tool that captures user survey data, storing it in Firebase and integrating a dynamic JavaScript dashboard for real-time visualization. Automated survey data processing that previously took 15 hours per week, reducing manual effort by 95% and improving response analysis speed by 10x. • Developed advanced data processing pipelines using Python and SQL to perform complex mathematical analyses on the collected survey data. Created stored procedures and triggers to automate data validation and utilized matplotlib and seaborn to generate interactive charts and dashboards, delivering actionable insights that streamlined change management processes.
Education
Loyola College
Bachelor of Science - BS, Statistics
2018 — 2021
University of California, Berkeley
Master's degree, Operations Research
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