Santosh Solunke

Data analyst

Talent

PuneMember since 14 April 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.