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Associate Data Scientist
CEDURA•  October 2018 - March 2021
KEY ACHIEVEMENTS • Predicted consumer behavior from AI model: 26-32% of leads and 17-20% of sales growth • Helped client increase student satisfaction from 70% to 91% by analyzing feedback using NLP • Introduced a POC model using computer vision object detection YOLOv5. The proposed model achieved 89% accuracy and detected 15 pages in a minute RESPONSIBILITIES • Focused on developing machine learning models, productized algorithms, model testing, evaluating and performance tuning. Applied best practices to enhance the existing machine learning infrastructure and document preparation for methodologies • Designed machine learning pipeline and CI/CD workflow for data pre-processing, exploratory analysis, feature engineering, hyper-parameter tunning, model construction, evaluation, cross validation, deployment & API’s integration • Designed impactful dashboards using power BI data reporting, discovered key analytical insights, DAX operations and transformed raw data into actionable information for daily operations • Participated in team calls and reviews, collaborated with DevOps team and engineers for productionized code, scalable AI approaches and managed the team of 8 members interns & data analysts
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