Pragati Dixit PostGraduate in Applied statistics & mathematics
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Hi, I’m Pragati, a Data Scientist with a strong foundation in Mathematics and Applied Statistics. I hold a Master’s degree in these fields and have hands-on experience in developing advanced predictive models and optimizing industrial processes. At ScidentAI, IISc Bengaluru, I worked on cutting-edge machine learning solutions, conducted optimization studies, and created causal maps to analyze complex relationships.

In my lessons, I combine my expertise in data science and mathematics to help students grasp challenging concepts with ease. I focus on making learning interactive, practical, and tailored to your pace, whether it’s understanding complex math topics or diving into the fascinating world of coding and data science.

Outside of work, I enjoy exploring new technologies, solving math puzzles, working on exciting data projects, reading, and painting. Let’s make learning a fun and rewarding journey—book a lesson with me today!

Subjects

  • Math Grade 6-Grade 10

  • Python Grade 6-Masters/Postgraduate

Experience

  • Data Scientist (Jun, 2024–Dec, 2024) at SciDentAI,Indian Institute of Science,Benagaluru
    As a Data Scientist, I developed and implemented advanced predictive modeling solutions to optimize industrial processes. My work involved leveraging machine learning techniques to enhance model performance and operational accuracy. I conducted optimization studies to improve efficiency metrics, created causal maps to analyze feature relationships, and utilized data visualization tools to communicate insights and drive decision-making.
  • Data Scientist (Feb, 2024–May, 2024) at Technocolabs softwares
    Developed predictive models to determine startup outcomes (Operating, IPO, Acquired, or Closed) using supervised machine learning techniques, leveraging historical data for insights. Managed significant missing data by employing various imputation techniques, such as mean, median, mode, KNN, and regression imputation, to maintain dataset integrity. Implemented AdaBoost and Gradient Boosting algorithms to model startup trajectories, capturing intricate patterns and trends. Ensured minimal bias and maximum accuracy through careful selection of imputation methods and model optimization.

Education

  • Masters in Applied statistics (Aug, 2022–May, 2024) from Symbiosis international university, Pune
  • BSc in Mathematics, Statistics,Computer Science (Jun, 2018–Aug, 2021) from National p.g. college, University of Lucknow

Fee details

    ₹500–700/hour (US$5.83–8.16/hour)

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