Hardik Alagi Data analyst and Data Scientist
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I am a passionate Data Analyst and Data Science professional with hands-on experience in Python, SQL, Excel, Tableau, and Machine Learning. I specialize in turning raw data into clear, actionable insights and helping learners master both the technical skills and the problem-solving mindset needed in real-world projects.

My teaching style is practical and interactive every concept is paired with live demonstrations, case studies, and exercises so you can immediately apply what you learn. Whether you are a beginner starting with Excel and SQL, an intermediate learner exploring Python and Tableau, or an aspiring data scientist working on machine learning models, I will guide you step-by-step.

What you can learn with me:

Excel for Data Analysis (Pivot Tables, VLOOKUP, Dashboards)

SQL for Data Extraction & Transformation

Python for Data Analysis (Pandas, NumPy, Matplotlib)

Data Visualization using Tableau

Basics of Machine Learning (Regression, Classification, Model Evaluation)

End-to-End Project Development & Portfolio Building

Why learn with me?

Real-world datasets for hands-on learning

Customized lesson plans based on your goals

Simple explanations for complex concepts

Guidance for interview preparation and portfolio projects

Fee: ₹300–₹500 per hour (depending on topic complexity and session type)

If you’re ready to learn Data Analytics or Data Science in a clear, structured, and practical way, I’m here to help you achieve your goals.

Subjects

  • Python Expert

  • SQL Expert

  • Tableau Expert

  • Anaconda Expert

  • Data analysis and visualization Expert

Experience

  • Data Analyst (Jun, 2023–May, 2024) at Insignia Financials
    Designed and implemented a robust data validation framework, reducing discrepancies in data reporting by 23%, thereby significantly enhancing the accuracy and reliability of business insights.
    Developed dynamic, interactive dashboards using Tableau delivering real-time performance metrics, directly supporting data-driven operational decision-making.
    Optimise data processing workflows, achieving a 30% reduction in processing time and improving overall operational efficiency.
    Earned recognition for exceptional analytical contributions that influenced key strategic initiatives.
    Streamlined data collection from Google Cloud Platform (GCP) by developing efficient Python scripts, and accelerating data ingestion and analysis processes.
    Utilised automation tools to validate data analysis workflows, enhancing quality assurance and optimised complex SQL queries, reducing runtime by 20% and improving database performance.
  • Data Scientist (Feb, 2023–Jun, 2023) at The Data Foundary
    ● Successfully launched an innovative data visualisation dashboard using Streamlit, improving stakeholder engagement and enabling more informed decision-making.
    ● Enhanced a market analysis project by introducing a heatmap feature to the dashboard, tracking patients' real-time bed usage, leading to insights that drove product development and projected revenue growth.
    ● Automated data extraction, transformation, loading, and validation, and earned commendation from senior leadership for innovative data analysis approaches that formed strategic planning and elevated system efficiency by 10% using Airflow.
    ● Designed a methodology to detect real-time patient activity on beds, providing actionable insights for healthcare applications.
    ● Contributed to developing the primary user interface (UI) for displaying patient information, delivering an intuitive and user-friendly experience.

Education

  • Master of Data Science (Jun, 2022–Jun, 2023) from RMIT University,Melbourne,Australia

Fee details

    ₹300–500/hour (US$3.16–5.26/hour)

    Basic 300 -500 rupees for teaching online and giving notes hourly based on content.
    Assignment cost depends on what the assignment is and how long it will take.

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