Kush Patel

Staff Data Scientist @Thermo Fisher Scientific

San Diego, CA, US
EMAILS
k••••••••@thermofisher.com
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Jul 2025 — Present

Staff Data Scientist @Thermo Fisher Scientific

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San Diego, CA, US

EDUCATION

2016 — 2017

University of California, San Diego

Master of Science (M.S.)

2010 — 2014

SRM University

B.Tech

SKILLS

Microsoft Sql ServerRegression ModelsPostgresqlBig Data AnalyticsBusiness IntelligenceMatlabSpatial AnalysisLinear RegressionTeamworkLogistic RegressionTeam ManagementDecision TreesPower ViewSas ProgrammingText MiningHtmlPredictive AnalyticsData ScienceArtificial Neural NetworksSentiment AnalysisC++Predictive ModelingHadoopBootstrappingRadiantPowerpointMicrosoft ExcelResearchProject ManagementApache SparkT-SqlSqlMicrosoft ProjectMachine LearningStatistical Data AnalysisData MiningRPower PivotSasTableau

ABOUT KUSH PATEL

I\'m a data science and analytics professional with 9+ years of experience driving value through data analytics, ML, AI, executive dashboards, and business intelligence across industries like life sciences, supply chain, digital marketing, and commercial real estate.Currently at Thermo Fisher Scientific, I lead a high-impact team focused on operational analytics, KPI development, and scalable reporting across global service functions. I’ve built end-to-end solutions—from advanced SQL pipelines and Tableau dashboards to predictive models and custom LLM tools. One such initiative was an English-to-SQL chatbot using LLMs, enabling non-technical stakeholders to interact with our enterprise data lake in real time.I have deep hands-on experience with querying data from SQL (PostgreSQL, MySQL) databases, creating scalable and articulate data visualization platforms (Tableau, Power BI, R Shiny), and automating complex analysis (using Python, R, Airflow, Power Automate). I regularly design and maintain executive-level reports and performance dashboards used in QBRs and MBRs by senior leadership. My dashboards are not just visual—they’re decision tools grounded in statistical rigor and built with stakeholder feedback.Whether improving service technician scheduling with machine learning, forecasting contract renewals, or building clean and governed data layers, I approach problems with a mindset rooted in scalability, clarity, and measurable impact. I also serve as a subject matter expert for KPI definition, data governance, and cross-functional collaboration between business and IT.In past roles at CBRE and Mu Sigma, I built analytical tools to enhance marketing performance, optimize real estate deals, and automate commercial reporting for internal and external clients.I\'m passionate about enabling organizations to become truly data-driven—by transforming raw data into trusted, actionable insights that drive growth and efficiency.

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