Proven ability in analyzing large datasets, debugging SQL queries, and transforming data to drive business decisions.
Proficient in creating compelling, interactive dashboards using Power BI, enhancing data accessibility and understanding.
Strong command over Excel, SQL, Power BI, enabling efficient data manipulation and analysis.
Proficient in market research requirement gathering, qualitative and quantitative analysis.
Data Analysis Tools: MySQL, PostgreSQL, Python, Excel, Tableau, Power BI
Statistical Techniques: Regression, Hypothesis Testing, Predictive Modeling
Data Management: Data Cleaning, ETL Processes, Data Visualization
Big Data Tools: Knowledge of tools like Hadoop, Spark
Soft Skills: Problem-Solving, Communication, Attention to Detail
Overview
1
1
year of professional experience
1
1
Certification
Work History
Data Analyst
Inmakes Infotech
12.2023 - Current
Data Cleaning and Preparation: This involves filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.
Data Exploration and Analysis: Analysts use statistical tools and techniques to explore and analyze data, identifying patterns, relationships, and trends.
Data Visualization: Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable at a glance.
Reporting: Data analysts prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.
Collaboration: They often work with other departments to understand their data needs and help them make informed decisions based on data insights.