Imran Khan DATA SCIENCE & BUSINESS INTELLIGENCE
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Hi! I’m Imran!

A results-driven Data Science Trainer and full-time Business Intelligence Architect with strong expertise in Tableau, Power BI, Excel, SQL, Python, and Machine Learning, specializing in delivering practical, industry-focused training. Experienced in designing structured learning paths, real-world projects, and hands-on exercises that enable learners to transition from foundational concepts to advanced analytics and data-driven decision-making. Adept at simplifying complex topics such as data modeling, visualization, statistical analysis, and predictive modeling for both beginners and working professionals.

Proficient in integrating modern AI capabilities into the learning process, with a strong understanding of prompt engineering for tools like ChatGPT and other AI platforms. Skilled in leveraging AI for code generation, debugging, optimization, and validation, ensuring learners not only use AI effectively but also critically evaluate its outputs. Emphasizes best practices in combining human analytical thinking with AI-assisted workflows to improve productivity and accuracy.

Demonstrated experience in delivering both one-on-one and group training sessions across online and offline modes, with a focus on engagement, clarity, and practical application. Known for mentoring learners, guiding them through end-to-end data projects, and preparing them for real-world roles in data analytics and business intelligence. Passionate about empowering individuals with in-demand data and AI skills that drive career growth and organizational impact.

I do a free masterclass twice a month. Kindly contact me to get better understanding of our venture into Data Science and Business Intelligence. I will be more than happy to explain my approach and discuss your requirements.
Eventually we will complete multiple use cases so that the student gets the know-how of the subject. I can add more use cases depending on the student requirements and agreement.

Subjects

  • SQL Beginner-Expert

  • Microsoft Power BI Beginner-Expert

  • Microsoft Excel Dashboard Beginner-Expert

  • Python for Data Science Beginner-Expert

  • Tableau Dashboards Beginner-Expert


Experience

  • BUSINESS ANALYST (Apr, 2016Present) at Schneider Electric Engineering services company
    • Working with Finance, engineering, product, data science, and other business partners in the mining and analyzing of financial and transaction-level data to extract key trends and insights.
    • Building visualizations to communicate data to key decision-makers. Automate manual processes and reconciliations.
    • Build models to detect anomalies and resolve financial imbalances; investigate and resolve data discrepancies between systems.

Education

  • COMPUTER SCIENCE ENGINEERING (Aug, 2002Jun, 2006) from JNTU

Fee details

    450/hour (US$4.74/hour)

    All sessions are hands-on, with necessary datasets and files shared along with recordings. The more the cumulative number of sessions the higher discount rate!


Courses offered

  • Data Analysis with SQL

    • 450
    • Duration: 12 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: No
    Following are the SQL Key Concepts Required in Real World Scenarios, covered in my curriculum,
    a) Introduction to Databases & SQL
    b) Database concepts (tables, rows, columns)
    c) SQL data types
    d) SELECT statements & filtering data
    e) WHERE, ORDER BY, DISTINCT
    f) Aggregate functions (COUNT, SUM, AVG, MIN, MAX)
    g) GROUP BY & HAVING
    h) Joins (INNER, LEFT, RIGHT)
    i) Subqueries
    j) Windows Functions
    k) Common Table Expression
    l) INSERT, UPDATE, DELETE
    m) Constraints & keys (Primary, Foreign)
    n) Views & Stored Procedures
    o) Introduction to SQL performance tuning
  • Data Analysis with Python

    • 600
    • Duration: 20 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: No
    Following are the Python Key Concepts Required in Real World Scenarios, covered in my curriculum,
    a) Python Fundamentals
    b) Control Flow
    c) Data Structures
    d) Functions & Modules
    e) Object-Oriented Programming (OOP)
    f) Python Libraries (Basics)
    i. Introduction to NumPy
    ii. Introduction to Pandas
    iii. Introduction to Seaborn
    iv. Introduction to Matplotlib
  • Data Analysis with Power BI

    • 450
    • Duration: 16 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: No
    Following are the Power BI Key Concepts Required in Real World Scenarios, covered in my curriculum,
    a) Power BI Fundamentals
    b) Data Import & Connections
    c) Data Transformation (Power Query)
    d) Data Modeling
    e) DAX (Data Analysis Expressions)
    f) Data Visualization
    g) Reports & Dashboards
    h) Power BI Service
  • Data Analysis with Excel

    • 400
    • Duration: 16 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: No
    Following are the Excel Key Concepts Required in Real World Scenarios, covered in my curriculum,
    a) Basic & Intermediate Excel Functions
    o (SUM, AVERAGE, COUNT, MIN, MAX, IF, AND, OR, LEFT, RIGHT, MID
    LEN, TRIM, UPPER, LOWER, LOOKUP, HLOOKUP, XLOOKUP, INDEX & MATCH,
    Nested IF, IFS, SUMIF, SUMIFS, COUNTIF, COUNTIFS, FILTER, SORT, UNIQUE)
    b) Basic & Advanced Pivot Tables & Pivot Charts & Dashboards
    c) Data Analysis Tools
    o What-if Analysis: Goal Seek, Scenario Manager, Data Tables
    d) Power Query Impact, Data Cleaning & Transformation, etc
    e) Using AI & its Impact
    f) Real-World Projects
  • Data Analysis with Tableau

    • 500
    • Duration: 18 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: No
    Following are the Tableau Key Concepts Required in Real World Scenarios, covered in my curriculum,

    a) Introduction to Tableau & data visualization concepts
    b) Connecting to data sources (Excel, CSV, databases)
    c) Tableau interface & navigation
    d) Creating basic charts (bar, line, pie, maps)
    e) Filters, sorting, and grouping
    f) Calculated fields
    g) Parameters & sets (basics)
    h) Building interactive dashboards
    i) Actions (filter, highlight, drill-down)
    j) Formatting & best practices
    k) Publishing and sharing dashboards
  • Prompt Engineering

    • 700
    • Duration: 14 Hours
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English, Hindi, Urdu
    • Certificate provided: No
    Module 1: Introduction to AI & Prompt Engineering
    Module 2: Understanding Prompts
    Module 3: Prompt Engineering Frameworks
    Module 4: AI Tools for Prompt Engineering
    Module 5: Business Applications of Prompt Engineering
    Module 6: Prompt Engineering for Data Analytics
    Module 7: Ethics & Limitations of AI
    Module 8: Capstone Projects

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