Aseem Arora Python, Data Analysis, Machine Learning, Power BI
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Hi,
I am Aseem Arora, an experienced educator and IT professional. I specialize in teaching programming to students of all levels, from beginners to experts. My teaching style is straightforward and accessible, using simple language to explain complex concepts. I encourage students to ask questions repeatedly until they fully understand each topic. Every concept is accompanied by practical examples to reinforce learning. I prioritize logic building alongside programming skills, recognizing its importance in mastering the subject. Students can expect a comfortable learning environment, as I am dedicated to ensuring comprehension before moving on to new material.

Subjects

  • Node js Beginner-Expert

  • Advanced JavaScript Beginner-Expert

  • Python for Data Analysis Beginner-Expert

  • Power BI Dashboards Beginner-Expert

  • Excel & Research Data Analysis Beginner-Expert

  • Python for Data science, Machine Learning and Artificial Intelligence Beginner-Expert

Experience

  • Data Engineer (Aug, 2018–Present) at 14 years of experience in Data Analysis/Science
    Certainly! Here are 10 key points outlining my role as a Data Scientist with a focus on Power BI:

    Data Collection: Gather and integrate data from various sources to ensure a comprehensive dataset for analysis.

    Data Cleaning: Preprocess and clean the data to remove inaccuracies and prepare it for analysis.

    Data Analysis: Apply statistical methods and machine learning algorithms to analyze data and identify trends.

    Model Development: Build and validate predictive models to address business challenges and forecast future trends.

    Visualization Creation: Use Power BI to design and develop interactive dashboards and reports that effectively communicate insights.

    Data Interpretation: Translate complex data findings into actionable insights and recommendations for stakeholders.

    Collaboration: Work with cross-functional teams to understand business needs and tailor data solutions accordingly.

    Performance Monitoring: Track and assess the performance of models and visualizations, making adjustments as needed.

    Report Automation: Set up automated reporting systems in Power BI to streamline data updates and reporting processes.

    Continuous Learning: Stay updated with advancements in data science and Power BI to apply the latest techniques and tools.
  • Project Manager (Sep, 2011–Jul, 2018) at XNS Global

Education

  • MCA (Jun, 2007–Jun, 2010) from DSI, Bangalore

Fee details

    ₹200–500/hour (US$2.38–5.95/hour)

    Charges may differ based on putting efforts and time to complete the project/work/job.

Courses offered

  • Data Analysis Course

    • ₹10000
    • Duration: 45 Days
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi
    • Certificate provided: Yes
    Complete Data Analysis Course:
    This is beginner to advance level course. topics includes in this course are following:-
    1. Understanding of Data Analysis
    2. Introduction to statistics
    3. Data analysis with Excel
    4. Data Analysis with Python
    5. Introduction to SQL
    6. Building PowerBI dashboard
    7. Hands on practice project
    8. Assignments

  • Power BI

    • ₹5000
    • Duration: 30 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi
    • Certificate provided: No
    Introduction
    Data Analysis with Power BI
    Power Query
    Star Schema Data Model
    Data & BI terms
    Power Pivot & DAX for Power BI
    Charts
    Tooltip Pages
    Data Analysis with Power BI - start to finish
    Data Analytics & Dashboard

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