Nidhi Trivedi

About Nidhi Trivedi

Data tells powerful stories — I build the systems, models, and insights that turn those stories into real business impact.With over 7 years of experience across data engineering/Analytics, business analytics, and data science, I specialize in transforming massive, complex datasets into scalable, insight-driven solutions. My expertise spans Python, SQL, AWS, Snowflake, ETL pipeline design, Power BI, Tableau, and ML/GenAI applications. I’ve contributed to organizations like Citi Bank, TransUnion, Paccar, and KyteData LLC, creating end-to-end data ecosystems that drive automation, efficiency, and measurable growth.I am currently a Data Analyst Intern at KyteData LLC, where I analyze business requirements, translate them into data-driven strategies, and coordinate across teams to deliver impactful analytics and reporting solutions. My work focuses on aligning data insights with business goals to improve operational efficiency and strategic decision-making.Previously at Paccar, I worked as a Data Scientist developing predictive and analytical models that enhanced fleet performance and operational reliability across large datasets. I applied advanced statistical methods and ML algorithms to identify performance trends, enabling proactive maintenance and cost reduction initiatives.At TransUnion CIBIL, I served as a Data Engineer managing large-scale consumer and commercial data pipelines across multiple countries. I designed and optimized ETL workflows and credit risk models, improving data accuracy and reducing processing time by 30%. My contributions helped enhance cross-country data integration and supported predictive model deployment for credit risk analysis.During my tenure at Citi Bank via L&T Infotech, I worked as a Data Engineer handling terabytes of financial data. I built automated, cloud-based pipelines using AWS and Snowflake, improving extraction and processing efficiency by 25%. I also developed data models and dashboards for compliance and business analytics, enabling faster, data-driven decision-making.I am passionate about designing data systems that scale, uncover insights, and accelerate business transformation. I am now seeking full-time opportunities in Data Engineering, Business Analytics, or Data Science where I can continue applying my skills to solve complex challenges and create measurable impact.Let’s connect: n••••••••@gmail.comGithub : https://github.com/NidhiTrivedi24

Experience

1. Data Scientist

   PACCAR

   Jan 2025 — Present · Seattle, WA, US

   Developed machine learning models for sales staff calculator based on dealership, sales, and market trends.• Conducted extensive data analysis and exploratory data analysis to gather insights.• Utilized skills in data analysis, machine learning, and trend forecasting.

Education

• Acropolis

  Bachelor of Engineering - BE

  2012 — 2016

• Seattle University

  Master's degree

  2023 — 2025