Data Services

Data Collecting

With my experience in data collection, I have developed expertise in identifying and extracting data from various internal and external sources, such as databases, APIs, and Excel files.

  • Automated data collection processes
  • Python and SQL expertise
  • Optimized time and accuracy
  • Multiple source integration

Data Cleansing

My approach to data cleaning involves identifying and handling missing values, correcting inconsistencies, and removing duplicates to ensure that the dataset is both complete and accurate.

  • Missing value imputation
  • Data transformation
  • Outlier detection
  • Validation checks
  • Normalization techniques

Data Exploration

Data exploration is a crucial phase where I dive into the dataset to understand its structure, patterns, and relationships using visualization tools.

  • Matplotlib & Seaborn
  • Power BI & Tableau
  • Trend identification
  • Pattern recognition
  • Looker integration

Statistical Analysis

I apply various statistical methods to extract meaningful insights from data and assess its underlying patterns.

  • Hypothesis testing
  • Correlation analysis
  • Regression models
  • Statistical significance
  • Variable relationships

Reporting

I have developed and delivered reports using data visualization tools, focusing on key performance indicators (KPIs) and trends.

  • Customized stakeholder reports
  • KPI-focused analysis
  • Technical & non-technical outputs
  • Decision-ready insights
  • Interactive dashboards

Data-Driven Decision

I leverage insights gained from data analysis to support key decisions and provide actionable recommendations.

  • Business objective alignment
  • Actionable recommendations
  • Performance optimization
  • Risk mitigation
  • Opportunity identification