Anup Galande

Talent

PuneMember since 15 June 2026

PythonPandasNumPyMatplotlibSeabornSQLSQL QueriesMySQLPostgreSQLMS SQL ServerStatisticsStatistical AnalysisExploratory Data Analysis (EDA)Predictive AnalyticsData ModelingData VisualizationAd-hoc AnalysisRoot Cause AnalysisPower BIPower QueryDAXBusiness IntelligenceProblem-Solving SkillsWillingness to LearnAttention to DetailJupyter NotebookGitGitHubVersion ControlETL

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PythonPandasNumPyMatplotlibSeaborn

About

Results-driven B.Sc.

Computer

Science graduate (RTMNU, 2025) seeking a Data Analyst Intern, Data Science Intern, or Business Intelligence Intern role. Proficient in Python, Pandas, NumPy, Matplotlib, Seaborn, SQL, SQL Queries, MySQL, PostgreSQL, MS SQL Server, Power BI, Power Query, DAX, and MS Excel (PivotTables, VLOOKUP). Hands-on experience in Statistics, Statistical Analysis, Exploratory Data Analysis (EDA), Predictive Analytics, Data Visualization, Data Modeling, Data Processing, Data Wrangling, Data Cleaning, and BI reporting.

Strong problem-solving skills with high attention to detail and willingness to learn — ready for remote, hybrid, or on-site internship roles at MNCs, startups, and product companies globally. GitHub portfolio available. Immediate joiner with 0 days notice period.

Experience

Data Analyst - Personal Project

(2025-10 - 2025-11)

Customer Churn Analysis & Data Visualization | Telecom Domain

Performed end-to-end EDA, data cleaning, and data wrangling on a 10,000+ record telecom dataset using Python (Pandas, NumPy); applied statistical analysis to identify 3 key churn predictors (contract type, tenure, monthly charges), reducing model noise by ~15%.
Created interactive data visualizations using Matplotlib and Seaborn to communicate churn patterns and business insights; delivered a reproducible analytics report in a version-controlled Jupyter Notebook on GitHub, suitable for asynchronous remote review.

Business Intelligence Analyst - Personal Project

(2026-01 - 2026-02)

Sales Intelligence Dashboard | Multi-Category Retail

Designed an interactive Power BI dashboard with complex data modeling tracking revenue, profit margin, YoY growth, and MoM variance across 5 product categories; authored 15+ DAX measures (TOTALYTD, SAMEPERIODLASTYEAR) and Power Query ETL transformations for time-intelligence reporting.
Built ETL pipeline for automated data processing and refresh, replacing 8 static Excel reports with live BI views, cutting manual effort by ~40%; managed code via version control (Git/GitHub) and performed root cause analysis and ad-hoc analysis to support quarterly reviews.