Experience

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  Outcampus

  Jun 2020 - Jun 2020

  Brand development
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  Lumevent private limited

  Jun 2020 - Aug 2020

  Market research intern

  During my internship, I spearheaded a project aimed at linking our event management company with vendors across India. I collected and analyzed data from diverse regions, identifying top vendors in categories such as venues and beverages. Witnessing our company form partnerships with industry leaders was immensely rewarding. Throughout this experience, I gained valuable insights into data analysis and strategic business decision-making.

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  Letsgrowmore

  May 2022 - Jun 2022

  Data science intern

  Completed projects using Machine Learning to solve real-world problems. In one project, I predicted stock market trends by analyzing past data. This helped investors make smarter decisions.Another project involved creating personalized music recommendations based on individual preferences. This made the music listening experience more enjoyable for users. Lastly, I analyzed global terrorism data to identify patterns and potential risks. This helped authorities develop strategies to enhance security. Overall, I'm passionate about using Machine Learning to find insights and make a positive impact. Show less

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  Freelance

  Oct 2022 - now

  Freelancer

  In a recent data analysis project focused on driving business growth, I spearheaded an initiative to analyze key metrics and provide actionable insights aimed at increasing customer retention and driving business development. Ultimately, our data-driven approach not only enabled us to stem churn rate but also laid the foundation for fostering long-term customer loyalty and maximizing business potential. Through continuous monitoring and refinement of our strategies, we remain committed to delivering value and driving innovation in our pursuit of business excellence. Show less

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  Eduonix learning solutions pvt ltd

  Apr 2023 - Feb 2024

  Data science intern

  Machine Learning Capstone Project: Developed a machine learning model to analyze WhatsApp conversations and extract valuable insights.WhatsApp Analysis: Utilized Python and various data science libraries to preprocess and analyze WhatsApp chat data, including text messages, media, and metadata.Natural Language Processing (NLP): Implemented NLP techniques to extract key information, sentiment analysis, and topic modeling from the WhatsApp conversations.Data Visualization: Created interactive visualizations using libraries like Matplotlib and Seaborn to present insights in an easily understandable format.Feature Engineering: Engineered relevant features from the WhatsApp data to enhance model performance and extract meaningful patterns.Model Building: Employed various machine learning algorithms such as Decision Trees, Random Forests, and Gradient Boosting to build predictive models for user behavior and communication patterns. Show less