Nisha Sarkar

Years of Experience in .Net Training

3

Teaching Experience in detail in .Net Training

I have 3 years of experience in conducting .NET training sessions for students, fresh graduates, and working professionals. My teaching primarily focuses on C#, ASP.NET Core, Entity Framework, LINQ, Web API, and .NET MAUI/Xamarin for cross-platform development. My responsibilities included: Designing structured training modules covering both beginner and advanced concepts of the .NET framework. Explaining OOP concepts, collections, delegates, events, LINQ, and asynchronous programming with real-world coding examples. Guiding students through hands-on projects, such as building CRUD applications, REST APIs, and cross-platform mobile apps. Providing assignments, coding challenges, and case studies to strengthen practical understanding. Mentoring learners on best practices in coding, debugging, and performance optimization. Preparing learners for technical interviews by conducting mock tests and reviewing code. The training style I followed was interactive and industry-oriented, ensuring participants not only learned the syntax and framework usage but also understood how to apply .NET technologies in real-world business applications. Through this training experience, I developed strong skills in curriculum design, technical mentoring, and simplifying complex .NET concepts for diverse learners.

Years of Experience in Angular.JS Training

3

Teaching Experience in detail in Angular.JS Training

I have experience in delivering structured training programs on Angular (up to Angular 18) for students, fresh graduates, and IT professionals. My teaching covers both fundamentals and advanced topics, ensuring that learners gain practical project-based knowledge of the framework. Key responsibilities and focus areas include: Designing a comprehensive curriculum covering Angular basics (components, templates, directives, services, routing, forms) as well as advanced topics like RxJS, state management (NgRx), lazy loading, interceptors, guards, and performance optimization. Explaining TypeScript fundamentals since it is the backbone of Angular development. Conducting hands-on coding sessions where participants build real-world projects such as eCommerce platforms, dashboards, and CRUD applications with REST API integration. Demonstrating Angular 18’s latest features like improved standalone components, signals for reactivity, and enhanced hydration for server-side rendering. Training learners to integrate Angular with .NET Core Web APIs for full-stack application development. Assigning practical exercises, coding challenges, and mini-projects after each module to reinforce learning. Mentoring participants on debugging techniques, best practices, and industry-level coding standards. Conducting mock technical interviews and assessments to prepare learners for job opportunities. My teaching style emphasizes interactive, real-time problem-solving with a focus on applying Angular concepts in enterprise-level applications. Through this, learners not only understand the framework but also become confident in building scalable, production-ready applications with Angular 18.

Years of Experience in Data Analysis Classes

3

Teaching Experience in detail in Data Analysis Classes

I have experience in conducting Data Analysis training sessions for learners ranging from students to working professionals. My teaching approach combines theoretical understanding with hands-on practice, enabling participants to apply data analysis techniques in real-world scenarios. Key responsibilities and focus areas included: Designing and delivering a comprehensive curriculum covering data analysis fundamentals such as data collection, cleaning, transformation, visualization, and interpretation. Teaching tools and technologies like Excel, SQL, Python (pandas, NumPy, matplotlib), and Power BI/Tableau for data analysis and reporting. Guiding learners on how to write efficient queries in SQL, perform statistical analysis, and use Python libraries for data manipulation and visualization. Conducting practical projects, including sales forecasting, customer segmentation, and business performance dashboards. Providing step-by-step training on creating data pipelines, cleaning messy datasets, and generating meaningful insights from raw data. Emphasizing storytelling with data, helping learners present insights using charts, dashboards, and reports to support decision-making. Assigning mini-projects, coding challenges, and case studies to reinforce analytical thinking. Preparing participants for real-world job roles by conducting mock tests, interview practice, and reviewing project work. My teaching style focuses on simplifying complex statistical and analytical concepts, ensuring participants not only learn how to use the tools but also understand the business value of data-driven insights.

Years of Experience in Business Analytics Training classes

3

Teaching Experience in detail in Business Analytics Training classes

I have experience in conducting Business Analytics training programs for learners ranging from students to working professionals. My training approach combines business knowledge, analytical techniques, and hands-on tools to ensure participants can convert raw data into actionable business insights. Key areas I cover in training include: Explaining the foundations of Business Analytics, including descriptive, diagnostic, predictive, and prescriptive analytics. Teaching data collection, data cleaning, and preprocessing techniques using Excel, SQL, and Python. Conducting statistical analysis (hypothesis testing, regression, correlation, forecasting) with practical business datasets. Training participants in data visualization and dashboard creation using Power BI, Tableau, and Excel to support decision-making. Guiding learners through real-world case studies such as sales performance analysis, market basket analysis, customer segmentation, and financial forecasting. Demonstrating how to integrate analytics with business domains like operations, marketing, finance, and supply chain. Providing projects and hands-on assignments that replicate real-world business scenarios. Mentoring participants on how to present insights to stakeholders, focusing on storytelling, KPIs, and actionable recommendations. Preparing learners for industry roles in business analytics by conducting mock interviews and project evaluations. My teaching style emphasizes simplifying analytical concepts and applying them to practical business problems, ensuring participants can bridge the gap between data analysis and business decision-making.