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Santosh Solunke

Santosh Solunke

Data analyst

Talent
PuneMember since April 14, 2026
PythonSQLAdvanced ExcelRGoogle SheetsPandasNumPyScikit-learnSciPyStatsmodelsPower BITableauMatplotlibSeabornPlotlyMySQLPostgreSQLData WarehousingGoogle BigQueryAWS S3Google Cloud Platform (GCP)GitGitHubExploratory Data Analysis (EDA)Machine LearningK-Means ClusteringRegression AnalysisStatistical ModelingPredictive AnalyticsHypothesis TestingA/B TestingETLData PipelineData CleaningDashboard DevelopmentBusiness IntelligenceKPI TrackingReport AutomationAgile Methodology
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PythonSQLAdvanced ExcelRGoogle Sheets

About

Results-driven Data Analyst and aspiring Data Scientist with hands-on experience in data analysis, machine learning, business intelligence, and dashboard development. Proficient in Python, SQL, Advanced Excel, Power BI, and Tableau with demonstrated ability to clean, analyze, and visualize large-scale datasets to deliver actionable insights. Skilled in statistical modeling, hypothesis testing, A/B testing, and predictive analytics.

Experienced in ETL processes, data pipeline development, Git version control, and stakeholder communication. Certified by ExcelR and NASSCOM. Seeking a data analyst or business analyst role to drive data-driven decision-making and business growth.

Experience

Data Analyst Intern at ExcelR Solutions (2025-01 – 2025-04)

Data Analyst Intern at ExcelR Solutions focused on data cleaning, analysis, and visualization

  • Cleaned and preprocessed 15,000+ records across CSV and Excel datasets, reducing data inconsistencies by 30% and improving reporting accuracy for business stakeholders.
  • Conducted exploratory data analysis (EDA) on 5+ business datasets to identify trends, outliers, and patterns, enabling data-driven decisions that improved operational efficiency by 15%.
  • Developed and presented 4 interactive Power BI dashboards with slicers, drill-through capabilities, and dynamic KPI tracking, reducing manual reporting time by 40%.
  • Collaborated with a cross-functional team of 6 members to define KPIs, translate business questions into data insights, and present findings to senior management.
  • Performed hypothesis testing and statistical analysis using Python (SciPy, Statsmodels) to validate business assumptions and support strategic planning.
  • Automated repetitive data extraction and transformation tasks using Python scripts and Git-managed workflows, saving approximately 10+ hours per week in manual effort.
  • Managed codebase and version history using Git and GitHub, ensuring reproducibility and collaboration across data projects.

Education

BSc in Data Science and Artificial Intelligence – JSPM University (2026)

Skills

Data analyst

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