About me

Data Analyst with a strong foundation in analytics and machine learning, supported by a B.Tech in Information Technology and advanced training in Artificial Intelligence & Machine Learning. Specializes in SQL, Python, and Power BI, transforming complex datasets into clear, actionable insights that drive strategic decision-making. Experienced in analyzing KPIs, identifying trends, and building impactful dashboards that deliver measurable business results.

Passionate about solving real-world business challenges through data-driven strategies, with a continuous focus on innovation, precision, and meaningful impact.

What i'm doing

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    Data Analysis

    High-quality analysis of data to uncover insights, trends, and actionable information at a professional level.

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    Machine Learning

    Professional development of intelligent systems that learn from data and improve performance over time.

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    Deep Learning

    Expert creation of advanced neural networks for complex tasks such as image recognition, speech processing, and predictive analytics.

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    Natural Language Processing

    Professional implementation of AI systems that understand, interpret, and generate human language with precision.

Daniel lewis
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Daniel lewis

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Resume

Education

  1. Lambton College at Toronto Campus, ON

    Major in Artificial Intelligence and Machine Learning

  2. Bachelor of Technology

    Major in Information Technology

Experience

  1. Data Analyst at Koho, CA

    Jan 2025 — Present

    Analyzed 100K+ transactions using SQL/Python to identify behavioral trends and reduce churn. Built 12+ Power BI dashboards and robust ETL pipelines, improving reporting accuracy. Led customer segmentation and partnered with product and growth teams to enable targeted campaigns and data-driven feature launches, boosting engagement.

  2. Data Analyst Intern at Koho, CA

    Jan 2024 — Dec 2024

    Analyzed transaction and engagement data to uncover onboarding and activation trends, informing product decisions. Built KPI dashboards and automated 5+ reporting workflows, enabling self-serve campaign insights and reducing turnaround time to same-day. Evaluated acquisition campaigns using cost-per-engagement models, driving data-backed budget reallocation decisions for Q3 2024.

  3. Data Analyst at RejoiceHub Solutions, IN

    June 2021 — Dec 2022

    Built Python churn models (Logistic Regression, XGBoost) with ~80% accuracy, enabling proactive retention targeting high-risk users. Developed ETL pipelines processing 50K+ records, improving data availability and consistency for analytics. Applied clustering and classification for segmentation, and delivered clear EDA insights to stakeholders, supporting personalization strategies and data-driven product and retention decisions.

My skills

  • Machine Learning
    95%
  • Natural Language Processing
    80%
  • Deep Learning
    75%
  • Statistical Analysis
    90%
  • Data Visualization
    85%

Portfolio

Contact

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