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Title Machine Learning United States
Target Location US-NY-Rochester
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Website LinkedIn PHONE NUMBER AVAILABLE Rochester (NY) EMAIL AVAILABLE GitHub Medium FULL-TIME EXPERIENCEDentistry Automation Rochester (NY), United States Machine Learning Engineer Feb 2024 - Present Automated insurance processing for dental clinics by implementing an Azure data pipeline to drive a $600K yearly revenue Crafted an AI-driven Auto-Dialer Voice Bot integrating Twilio, Whisper, ChatGPT and Google TTS APIs for real-time phone calling Target Bengaluru (KA), IndiaData Scientist Jul 2020 - Jul 2022 Refined out-of-stock predictions with XGBoost and new sales features doubling previous accuracy and saving $4M in costs Designed an ensemble model with PySpark achieving 69% accuracy in predicting basket sizes to boost incremental sales by 16% Formulated a solution using One-class SVM and Isolation Forest with 73% accuracy in pinpointing item placement anomalies Deployed an ETL pipeline for streamlined data processing with Hive to provide bi-weekly visuals to non-technical stakeholders Simulated unit transfer dynamics and minimized out-of-stock instances with python reducing manual testing PART-TIME EXPERIENCEUniversity of Rochester Medical Center Rochester (NY), United States Data Analyst Jan 2023 - Dec 2023 Uncovered risks among firefighters through mortality data analysis revealing volunteers faced a danger 7.5 times higher (Paper) Developed a MS SQL Server database with SQL to slash evaluation time by 70% and offered Tableau visual plots to stakeholders Analyzed 14-day ECG data for 126 patients with k-means identifying three clusters and a 65% compliance drop with rising BMI Fidelity Investments Chennai (TN), IndiaData Science Intern May 2019 - Jul 2019 Engineered a CI/CD pipeline with python that cut the review time of 500+ page asset documents from 6 days to 4 minutes Automated information extraction using NLP and pattern matching via spaCy and NLTK achieving 89% accuracy with real data SKILLS Knowledge: Machine Learning, Deep Learning, Natural Language Processing, Reinforcement Learning, Time Series Analysis, Linear Algebra, Probability, Statistical Analysis, A/B Testing, Root Cause Analysis, Causal Inference, Game Theory, Economics Tools: Python, SQL, R, PySpark, MATLAB, C++, MS Excel, Flask, Postman, Jira, Git, Tableau, Power BI, R Shiny, MS Project Packages: Pandas, Numpy, Matplotlib, Seaborn, Scikit-learn, NLTK, spaCy, Keras, PyTorch, Tensorflow Big Data & Cloud: Azure, AWS, GCP, Spark, Hive, Hadoop, MapReduce, Oozie EDUCATIONUniversity of Rochester, Rochester (NY), United States Master of Science, Dec 2023 Major(s): Data Science, Technical Entrepreneurship and Management (Merit Scholarship Recipient) Leadership: Alumni Mentor; Head TA - Machine Learning and Capstone; VP of Outreach and Events; Sponsorship Head Competitions: Top 10 in the US - LOral Brandstorm (Charmant); Finalist - Draper @ UTSA (JOBBrain); Finalist - Patient Safety(QualityCareHub); Winner - Innovation BootcampIIT Madras, Chennai (TN), India Bachelor of Technology, Sep 2020 Major(s): Electrical Engineering (Top 0.5% out of 1.2M aspirants) Leadership: Senior Internship Coordinator; WebOps Coordinator; VFX Coordinator; Volunteer - National Service Scheme PROJECTSentiment Analysis of Earthquake Survivor Personas with Large Language Models (Paper in progress) Assembled 500,000+ Turkish comments dataset using 100+ YouTube videos and scored sentiments with VADER for ground truth Crafted 864 personas using prompt engineering on ChatGPT-4 for sentiment analysis confirming its utility as a survey tool

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