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Soham Badgujar

Soham Badgujar

Data Analyst | SQL | Python | Power BI | Excel

Talent
GhāziābādMember since April 16, 2026
PythonSQLPandasNumPyData CleaningData PreprocessingExploratory Data AnalysisData ValidationStatistical AnalysisPower BIExcelMatplotlibSeabornMySQLPostgreSQLReportingRegressionClassificationScikit-learnFeature EngineeringModel ValidationARIMASARIMAMAERMSEMAPEIBM WatsonIBM CloudStatsmodels
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PythonSQLPandasNumPyData Cleaning

About

Entry-level Data Analyst with hands-on experience in SQL, Python, Excel, Power BI, data cleaning, exploratory data analysis, statistical analysis, data visualization, and reporting. Experienced in transforming raw datasets into analytical reports, interactive dashboards, and data-driven insights. Proficient in Pandas, NumPy, MySQL, PostgreSQL, and Power BI, with foundational experience in predictive modeling and time-series forecasting.

Experience

Data Analyst Intern at Infosys Springboard (2026-02 – 2026-04)

  • Collected, cleaned, and analyzed income distribution datasets using Python, SQL, Pandas, and NumPy
  • Performed data cleaning, exploratory data analysis, and statistical analysis to identify trends, patterns, and data-quality issues
  • Developed Power BI dashboards and analytical reports using bar, line, scatter, and pie visualizations to communicate key insights
  • Applied Linear Regression and Random Forest models using Scikit-learn for income prediction and predictive analysis
  • Performed data validation and quality checks to maintain accuracy and consistency across analytical outputs

Data Science Intern at Codec Technologies (2025-11 – 2026-01)

  • Performed data preprocessing and cleaning using Pandas and NumPy, including missing-value and outlier handling
  • Conducted Exploratory Data Analysis using Python, Matplotlib, and statistical techniques to identify trends and relationships
  • Implemented Linear Regression and Decision Tree models for predictive analytics tasks
  • Evaluated classification models using Accuracy, Precision, Recall, and F1-Score and regression models using appropriate error metrics
  • Applied feature engineering, data preprocessing, and model validation techniques to support predictive modeling workflows

AI and Cloud Computing Intern at Edunet Foundation (2024-02 – 2024-03)

  • Completed IBM SkillBuild training in Artificial Intelligence and Cloud Computing fundamentals
  • Applied supervised and unsupervised learning techniques to structured datasets as part of machine learning workflows
  • Applied data preprocessing, feature engineering, and model validation techniques to analytical tasks
  • Gained hands-on experience with analytical workflows using IBM Watson and IBM Cloud

Education

B.Tech in Computer Science Engineering – G H Raisoni College of Engineering and Management, Jalgaon (2022 – 2026)

Higher Secondary Education in Science – MGTSM Arts, Science and Commerce College, Chopda (2020 – 2022)

Skills

Data AnalystSQLPythonPower BIExcel

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