Tanya Data science, data analytics, machine learning, at
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As a tutor, I have had the opportunity to guide students through challenging academic subjects, helping them build confidence and improve their skills. My tutoring experience has been focused on data science, machine learning and artificial intelligence, including specific subjects, e.g., mathematics, data analytics, programming, statistics, etc., where I have worked with students ranging from high school to college students and even old age people.

In this role, I tailored my approach to fit each student’s unique learning style, identifying areas where they needed the most support and developing personalized strategies to address those challenges. This involved breaking down complex topics into more digestible concepts, reinforcing foundational knowledge, and providing practical examples to ensure deeper understanding.

Throughout my tutoring sessions, I emphasized not only subject mastery but also critical thinking and problem-solving skills. By creating a supportive and encouraging environment, I was able to help students increase their confidence and academic performance. Additionally, I maintained a flexible approach to scheduling and was responsive to the needs and progress of each student.

Overall, my tutoring experience has been highly rewarding, allowing me to develop my communication, leadership, and teaching skills while making a positive impact on students’ academic journeys.
You can contact me on LinkedIn or can connect with me on *********

Subjects

  • Python Beginner-Expert

  • Machine Learning Beginner-Expert

  • Data Science Beginner-Expert

  • Data Analytics Beginner-Expert

  • Artificial intelligence Beginner-Expert

Experience

  • Data Scientist (Feb, 2022–Jun, 2024) at Allstate Insurance
    Analyzed customer interactions and identified key areas for improvement, resulting in a 20% increase in customer retention rates and positioning the service team to manage higher volumes with existing resources.
    Designed and established a comprehensive customer behavior analysis framework that identified top preferences and pain points; insights led to a 15% increase in customer satisfaction scores within 6 months.
    Created a data-driven approach to segmenting customer preferences, resulting in tailored service offerings that improved customer engagement metrics; the strategy reduced average resolution time by 30% across support channels.
    Executed thorough analysis of GenAI models to enhance accuracy by 15% and increase relevance to customer needs, leading to improved decision-making capabilities for the organization.
    Validated and optimized data pipeline architecture to streamline weekly report generation for leadership, resulting in a 20% reduction in time spent on report creation.
    Collaborated with cross-functional teams to implement data quality checks and enhancements, reducing errors in weekly reports by 30% and ensuring leaders had accurate cost reduction insights.
    Implemented NLP techniques to extract insights from customer feedback data, leading to a 20% improvement in sentiment analysis accuracy compared to previous methods.

Education

  • Masters of Professional Studies in Data Science (Aug, 2024–now) from University Of Maryland Baltimore County
  • Bachelors of Technology in Computer Science under specialization with bigdata (Jun, 2018–Jul, 2022) from University of Petroleum & Energy Studies, Dehradun

Fee details

    US$20–50/hour (US$20–50/hour)

    It can vary depending upon the technology needs to be studied.

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