Shreya Varghese

Experience

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  Jio

  Dec 2019 - Jun 2020

  Big data Analytics & Machine learning Intern

  - During my tenure, one of my significant undertakings was the construction of a customer churn prediction model. Churn prediction is crucial for businesses as it enables them to identify customers who are most likely to cease using their service or product, allowing for timely interventions and retention strategies. Before delving into modeling, I initiated the project with data pre-processing. This involved cleaning the data, handling missing values, and transforming variables to make them suitable for analysis. For the prediction model, I chose logistic regression and random forest methodologies. The culmination of these efforts was a customer churn prediction model that boasted an impressive accuracy rate of 90%.- In parallel to predicting customer churn, I also ventured into the realm of HR analytics by developing an employee attrition prediction model. After an initial round of data cleaning, I embarked on the crucial step of feature selection. By analyzing the significance and impact of various attributes, I retained only those features that contributed meaningfully to the model's predictive power. Similar to the customer churn model, I employed logistic regression and random forest techniques for the attrition prediction. The employee attrition prediction model showcased a commendable accuracy level of 86%.- Both these projects underscored the power of data-driven decision-making in business realms, from customer management to human resources, emphasizing the critical role of predictive analytics in modern business strategies. Show less

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  Tata Consultancy Services

  Jul 2021 - Jun 2022

  Software Developer

  - During my tenure at TCS as a Software Engineer, I dedicated my efforts to enhancing the functionality and efficiency of the SIEBEL CRM software for a prominent Telecommunication client. Initially tasked with testing the application, I swiftly transitioned into a collaborative role, working closely with developers to identify areas for improvement and streamline operations.- Through rigorous collaboration with developers, I optimized the end-to-end performance of the Siebel CRM software. This involved implementing solutions to enhance system efficiency and effectiveness, ensuring a seamless user experience. Additionally, I conducted comprehensive testing procedures to validate the functionality and reliability of the CRM application, guaranteeing its robustness in real-world usage scenarios.- One of my notable achievements during this period was achieving a significant 30% efficiency increase by optimizing SQL databases. By fine-tuning database performance and query optimization, I successfully streamlined data retrieval and processing, ultimately enhancing the overall responsiveness of the CRM system.- Furthermore, I played a pivotal role in crafting responsive web interfaces using React, a modern JavaScript library. This initiative resulted in a remarkable 25% boost in user engagement, as users found the interfaces more intuitive and user-friendly. Additionally, I leveraged Python and Flask to implement additional functionalities, further enhancing the user interface and overall user experience. Show less

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  Indiana University Bloomington

  Oct 2023 - Jan 2025

  Research Data Analyst

  - In this project, I am doing a thorough qualitative data analysis on a set of 25 interview transcripts using Dedoose, a robust qualitative data analysis software. To ensure a comprehensive understanding of the data, I employ hierarchical coding techniques, allowing for nuanced interpretation of the information contained within the transcripts. This approach facilitated the identification of key themes, patterns, and relationships present in the data.- As part of the analysis process, I meticulously compiled 25 analytical memos. These memos serve as summaries of the insights from the interviews, capturing the essence of participant perspectives and contributions.- Moreover, I create concept maps to represent the relationships and patterns identified within the coded data. These concept maps served as visual representations of the interconnectedness of themes and concepts, offering a clear and concise overview of the data analysis findings. By visualizing the complex relationships present in the data, I facilitated interpretation and communication of the research findings, making them accessible to a wider audience and enabling informed decision-making based on the insights gained from the qualitative analysis. Show less

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  Rewriting the Code

  May 2024 - now

  Member
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  Hoosier Community Network

  Aug 2024 - Jan 2025

  Senior Consultant - Software Engineer
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  RTI International

  Jan 2025 - now

  Systems Programmer / Analyst 3