Prasidh Sriram
Development
FL, United States
Skills
Python
About
Prasidh Sriram's skills align with IT R&D Professionals (Information and Communication Technology). Prasidh also has skills associated with Programmers (Information and Communication Technology). Prasidh Sriram appears to be a low-to-mid level candidate, with 3 years of experience.
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Work Experience
SENIOR MACHINE LEARNING ENGINEER
FIT
January 2022 - Present
- Led the deployment of Deep Learning Machine Learning models capable of taking human body scans and predicting a user's clothing size based on 3D imaging technology, increasing company revenue to over $1M ARR (Python, Tensorflow, AWS Sagemaker, Numpy, Pandas, SKLearn). • Developed a custom Language Learning Model (LLM) chatbot integrated with the ChatGPT API and trained it on customer data, including preferences, shopping history, and feedback, to provide personalized clothing product recommendations through a chatbot interface (Python, NLP, ChatGPT API). • Developed analytics dashboard for internal and external stakeholders to view key business metrics and monitor ML models, giving real-time data visualization for 100+ daily active users (Angular.js, JavaScript, SQL, Snowflake). • Successfully led and trained a team of data science interns, fostering a collaborative and high-performing environment for skill development and project execution. • Built software scaled company from $500k to $4M ARR and raised the company valuation to a $35M Series A valuation. • Worked cross-functionally with product managers, engineers, sales and marketing teams in an AGILE development environment to communicate data-driven results to apparel retailer clients.
DATA SCIENTIST
LABCORP
June 2021 - December 2021
- Built machine learning models to predict the efficacy of prospective drug compounds, accelerating critical COVID-19 treatments to market significantly faster, from 5 years or more to less than 6 months (Python, R, Google Cloud). • Developed NLP models to automate dataset generation and quality control process from clinical trial PDFs, decreasing product delivery timeline from 10 days average to less than 1 day (Python, R, Google Cloud). • Communicated with pharmaceutical company clients to make business decisions from data-driven results.
Education
STANFORD UNIVERSITY
Certificate
ARIZONA STATE UNIVERSITY
M.S. in Computer Science
