Amough Mittal

About Amough Mittal

Data Scientist with 4+ years of experience in Machine Learning, Data Mining, and Statistical Analysis, skilled in Python (Scikit-Learn, Pandas, NumPy), Tableau, and R-Shiny for data visualization. Proficient in machine learning algorithms (e.g, logistic regression, random forest, XGBoost) and NoSQL databases like MongoDB. Experienced in Agile, SDLC, and creating interactive dashboards to drive actionable insights.

Experience

1. Data Scientist

   Intuit

   Jan 2024 — Present

   Worked in Agile environments to deliver iterative solutions and adapt to changing project requirements. Used Python and SQL to create Statistical algorithms for estimating risks involving Multivariate Regression, linear regression, Logistic Regression,Random Forest models, Decision trees, and Support Vector Machines. Leveraged ggplot2 to create insightful data visualizations, resulting in 21% less time spent on data preprocessing tasks. Designed and deployed a recommender system using Collaborative Filtering on an AWS EMR cluster, enhancing user experience. Built interactive dashboards using Tableau and generated insightful reports, empowering teams with actionable data insights. Streamlined model deployment with CI/CD pipelines, reducing deployment time by 40%. Implemented algorithms like XGBoost, SVM, and LLM to uncover patterns and make data-driven predictions. Crafted efficient SQL queries using SQL Management Studio and Crystal Reports to optimize data retrieval & reporting processes.

Education

• Vellore Institute of Technology

  Bachelor's degree, Computer Science

  2017 — 2021

• University of North Texas

  Master of Science - MS, Computer Science

  2024