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Darshan Lodhiya

Darshan Lodhiya

Machine Learning Engineer

Talent
SingaporeMember since April 19, 2026
PythonSQLScikit-learnXGBoostLightGBMFastAPIPower BITableauJupyter NotebookDocker
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PythonSQLScikit-learnXGBoostLightGBM

About

Machine Learning Engineer with hands-on experience building and deploying end-to-end ML systems. Skilled in Python, FastAPI, and model optimization, with practical exposure to data analytics and dashboarding. Strong understanding of ML pipelines from data preprocessing to real-time deployment.

Experience

AI/ML Intern - Microsoft Elevate

(2026-01 - 2026-04)

  • Built foundational understanding of Machine Learning concepts including supervised, unsupervised, and basic deep learning techniques.
  • Worked on data preprocessing tasks such as handling missing values, feature scaling, encoding, and dataset transformation using Python.
  • Performed model training, evaluation, and experimentation using Scikit-learn on structured datasets.
  • Explored ML workflow development including data collection, preprocessing, model building, and prediction pipelines.
  • Created interactive dashboards in Power BI to visualize business insights, trends, and analytical KPIs.
  • Gained exposure to basic Azure-based cloud workflows, deployment concepts, and cloud computing fundamentals.
  • Improved problem-solving and analytical thinking through hands-on mini projects and experimentation.

Data Analytics Intern - CSRBOX (IBM SkillsBuild)

(2025-06 - 2025-07)

  • Performed data cleaning, preprocessing, and transformation using SQL and Excel to improve dataset quality and consistency.
  • Analyzed structured datasets to identify trends, KPIs, and actionable business insights.
  • Built interactive dashboards using Tableau with filters, charts, and KPI cards for effective reporting.
  • Applied data preprocessing techniques including duplicate handling, null value treatment, and formatting standardization.
  • Worked with aggregation, filtering, and analytical functions to generate meaningful reports from raw data.
  • Strengthened understanding of data analytics workflow from raw data processing to dashboard visualization.
  • Improved reporting accuracy and decision-making support through data-driven analysis techniques.

Education

Bachelors of Engineering - Information Technology - Shantilal Shah Engineering College (2022-01 - 2026-05)

Higher Secondary - The K.P.E.S. English School (2020-01 - 2022-05)

Secondary - The K.P.E.S. English School (2019-01 - 2020-03)

Skills

Machine Learning Engineer

Reviews

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