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Soujanya j

With a strong foundation as a Data Scientist in the financial and education sectors, I bring advanced data analysis, predictive modelling, and problem-solving skills. Eager to leverage my expertise and experience, I aim to contribute by applying data-driven insights, machine-learning techniques, and statistical expertise to enhance patient care and drive transformative advancements.
  • Role

    AI Data Scientist

  • Years of Experience

    4 years

Skillsets

  • Deep Learning
  • Natural Language Processing
  • Generative AI
  • Predictive Modelling
  • Statistical Modelling
  • Hypothesis testing
  • support vector machine
  • Machine Learning
  • SQL
  • Visualization & analysis
  • Python

Professional Summary

4Years
  • Jan, 2024 - Present2 yr 3 months

    AI Data Scientist Consultant

    Edufund
  • Jan, 2023 - Present3 yr 3 months

    AI Data Scientist Consultant

    Fund Abroad
  • Jan, 2021 - Dec, 20221 yr 11 months

    Data Scientist

    GradRight
  • Jan, 2020 - Dec, 20211 yr 11 months

    Data Scientist

    Atria University

Applications & Tools Known

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    SQL

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    Tableau

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    MongoDB

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    Power BI

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    Google Analytics

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    Pandas

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    PyTorch

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    Transformers

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    Keras

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    Metabase

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    Flask

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    CRM

Work History

4Years

AI Data Scientist Consultant

Edufund
Jan, 2024 - Present2 yr 3 months

AI Data Scientist Consultant

Fund Abroad
Jan, 2023 - Present3 yr 3 months

Data Scientist

GradRight
Jan, 2021 - Dec, 20221 yr 11 months
    Developed various predictive models and analytics tools for educational support.

Data Scientist

Atria University
Jan, 2020 - Dec, 20211 yr 11 months

Achievements

  • Successfully achieved a near-zero Mean Squared Error (MSE), indicative of high predictive accuracy
  • Attained R-squared values of 0.84, showcasing excellence in model performance
  • Accuracy rate of 73% on the test dataset for the decision tree model, indicating the model's effectiveness
  • Accuracy rate of 86% for the student conversion predictive model
  • 73% accuracy initially for time series forecasting, Later improved to 81.3% after intense data cleaning and data collection

Major Projects

3Projects

Enterprise-Wide Store Segmentation

    Designed store segmentation system using clustering techniques leading to pricing decisions and incremental margin boost.

Price Optimization Strategy

    Implemented community detection algorithms for geographic markets leading to sales uplift.

Display Label Statistical Analysis

    Measured customer engagement impact of label change saving vendor costs.

Education

  • Masters in Science

    Deakin University

  • Post Graduate Program in Data Science and Business Analystics

    University of Texas (2023)

  • Masters in Business Administration

    M.P. Birla Institute of Management (2016)

  • Bachelors in Engineering

    Vivekananda Institute of Technology (2012)

Certifications

  • Post graduate program in data science and business analytics