Experienced Data Analyst with a strong background in data extraction, cleaning, and manipulation, as well as data visualization and analysis. Proficient in leveraging Python and its libraries (NumPy, Pandas, Matplotlib, Seaborn), SQL, Excel/Google Sheets, Tableau, and statistical analysis to extract insights from complex datasets. Skilled in business analysis, including requirement gathering, stakeholder management, and process optimization, to drive strategic decision-making and enhance business processes. Possesses excellent communication skills, problem-solving abilities, and critical thinking, ensuring effective collaboration and impactful decision-making.
Python and it's libraries(NumPy, Pandas, Matplotlib, Seaborn): Data cleaning, manipulation, visualization and analysis
SQL: Data extraction and querying
Microsoft Excel/Google sheets: PivotTables, VLOOKUP, HLOOKUP, Macros,charts
Tableau: Data visualization, Dashboard creation, Data connection
Strong understanding of statistical analysis (probability, descriptive statistics,inferential statistics,hypothesis testing,A/B testing)
Exploratory Data Analysis(EDA),data mining, business intelligence,ad-hoc reporting
Critical thinking and problem- solving Excellent interpersonal and communication skills
Business Analysis, requirement gathering, stakeholder management, process optimization, gap analysis
Understanding E-Commerce Trend | Business Case Study
Netflix Data Analysis for Content Strategy | Business Case Study
Customer Profiling of Aerofit Treadmills |Business Case Study
Walmart - Spending Analysis | Business Case Study
Yulu-Revenue Dip Analysis| Business Case Study