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Sonali Kubde

Engaging GRE Mathematics lessons with problem solving approach

5(126)

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Private tutor - Sonali Kubde

Bachelors degree

/ 30 min

Rated 5 out of 5 stars.
★★★★★
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Highly skilled & top-rated
126 ratings
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Sonali - Know your GED tutor

I have completed my bachelors(Mumbai University) and Masters(Syracuse, New York) of engineering in computer science. For nearly 2 years, I worked with a private company and had opportunities to teach and deliver the knowledge transfer to the new joinees all across the world. I do consider myself really good at multitasking, delegation, strategic thinking, explaining things in a detailed manner, and making presentations. My area of expertise is Python and SQL. In addition, I have good knowledge of business and data analysis including PowerBI, Tableau, Rstudio, SQL, Database Management System and much more.

Test prep overview

Tutoring is not just about transferring knowledge; it's about fostering an environment where learners can thrive, explore, and become proficient in their chosen fields. As a tutor, my approach is to provide detail-oriented sessions tailored specifically to the needs of my students. Whether their focus is academic or industry-related, my goal is to guide them through the complexities of technology and prepare them for real-world challenges. Structured Learning Path Each tutoring session is structured to progressively build knowledge and skills. The journey begins with foundational concepts, gradually moving towards more complex aspects of the technology. This structured approach ensures that students of all levels can keep pace and thoroughly understand each topic before moving on to the next. Regular quizzes and assignments are integrated to reinforce the material covered and to assess understanding continuously. Customization to Meet Individual Needs Recognizing that each student has unique learning needs, I tailor my sessions to suit individual preferences and requirements. This customization might involve adjusting the pace of the course, focusing on particular areas of interest, or providing additional resources for independent study. I also encourage students to bring their project ideas, which we can develop together during the course, adding personal relevance and motivation to the learning process. Hands-on Project Experience The centerpiece of my tutoring approach is the hands-on project that we develop together. This project not only serves as a practical application of the theoretical knowledge but also helps students understand the workflow of real-world software development. We cover everything from initial planning and design to coding, testing, and deployment. This experience is invaluable as it equips students with the skills needed to handle actual tasks in a professional environment. Regular Feedback and Improvement Feedback is a crucial element of my teaching methodology. Regular feedback sessions help students identify their strengths and areas for improvement. I provide constructive criticism that is meant to encourage and guide students on their learning path. Similarly, I encourage students to give feedback on the tutoring sessions. This two-way feedback process helps maintain a dynamic learning environment that adapts to the needs of the students. Industry-Relevant Skills In addition to technical skills, I emphasize the development of soft skills such as problem-solving, critical thinking, and effective communication. These skills are often overlooked in traditional educational settings but are crucial in the industry. During our project work, students are encouraged to think critically about the solutions they are developing and to communicate their ideas and challenges clearly. Preparation for the Future By the end of the course, students will not only have a thorough understanding of the technology but also a project that they can showcase in their portfolio. This project serves as tangible proof of their capabilities and learning process, which is invaluable when applying for jobs or internships in the technology industry. Additionally, the skills they develop during the course will prepare them for future learning, whether they choose to advance in the same technology or explore new areas. Building a Healthy Learning Environment The pillars of my tutoring sessions—detail orientation, customization, hands-on experience, regular feedback, and a focus on industry-relevant skills—are designed to create a supportive and productive learning environment. My aim is not just to teach technology but to mentor students, guiding them towards achieving their personal and professional goals. Continuous Improvement and Lifelong Learning To further enhance the effectiveness of the tutoring sessions, I commit to continuous improvement in my teaching methods. This involves staying updated with the latest technological advancements and pedagogical strategies, ensuring that my students receive the most current and effective instruction. Additionally, I promote the concept of lifelong learning, encouraging students to view education as an ongoing process that extends beyond formal schooling or industry training.

Sonali graduated from Mumbai University

Sonali graduated from Mumbai University
Sonali graduated from Mumbai University

GRE tutor specialities

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Concepts learning

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GRE concept taught by Sonali

Student learned 20 days ago

The Student and Tutor reviewed a completed data analytics project, discussing the executive summary, findings, and recommendations. They analyzed customer order data using Python libraries and explored methods for root cause analysis and data visualization. The session concluded with plans to review object-oriented programming concepts in Python and to work on practice quizzes in the upcoming sessions.

Executive Summary

Univariate Analysis

Multivariate Analysis

Actionable Insights and Recommendations

Correlation Matrix Interpretation

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Student learned 22 days ago

The Student and Tutor discussed the creation of a presentation based on a food hub project. They outlined the key components of the presentation, including defining the problem, solution approach, and data overview using univariate and multivariate analysis. The student will gather screenshots of data and insights to include in the presentation, and also plans to clarify expectations for the presentation content with an instructor.

Business Problem Definition

Considering Future Scope (Reordering Analysis)

Actionable Insights and Recommendations

Univariate Analysis

Root Cause Analysis Techniques

Multivariate Analysis

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Student learned 26 days ago

The Student and Tutor reviewed exploratory data analysis using Python libraries such as Pandas, Seaborn and Matplotlib with a focus on a food delivery dataset. The Student worked on tasks such as identifying popular cuisines, analyzing delivery times, and calculating revenue. The next session will be used to review a presentation that the Student will create based on the data analysis.

Univariate and Multivariate Analysis

Feature Engineering and Data Transformation

Conditional Logic and Revenue Calculation

Data Aggregation and Grouping

Data Cleaning and Preprocessing

Data Exploration with Pandas and Seaborn

Low-Code Data Analysis

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Student learned 28 days ago

The session involved the student taking a quiz covering structure and unstructured data, text as vectors, text cleaning, sentiment analysis, and lexical analysis. The student worked through the quiz questions with some guidance. They planned to work on a project in the next session.

Sentiment Analysis

Lowercasing

Regular Expressions (Regex)

Stemming

Bag of Words (BoW) Model

N-grams vs. Bag of Words (BoW)

Bi-grams

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Student learned about 1 month ago

The Student and Tutor reviewed a Python project involving data analysis of food hub orders using Pandas. They covered importing data, checking data types, handling missing values, and calculating statistical summaries. The homework is to review the lesson and complete the remaining sections of the Colab notebook.

Data Selection and Filtering

Identifying and Handling Missing Values

Data Exploration with Pandas

Project Setup in Google Colab

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Student learned about 1 month ago

The Student learned data visualization in Python, covering Matplotlib, Seaborn, and Plotly. The Student practiced creating scatter plots, line charts, histograms, and bar charts. The next session will cover bivariate analysis and review the project requirements.

Data Visualization with Matplotlib

Types of Data Visualizations

Data Visualization with Plotly Express

Data Visualization with Seaborn

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