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Skills & Expertise

  1.  Data Manipulation & Cleaning:

  • Proficient in data cleaning techniques (handling missing values, outliers, inconsistencies).2. 

  2 . Data Analysis & Exploration:

  • Ability to perform exploratory data analysis (EDA) to identify  patterns and trends.

  • Experience in statistical analysis (descriptive and inferential).

  3 . Programming & Scripting:

  • Strong proficiency in SQL for database querying and manipulation.

  • Expertise in Python (Pandas, NumPy, SciPy, Matplotlib, Seaborn).

4 .  Data Visualization & Reporting:

  • Proficiency in data visualization tools (Power BI).

5 .  Problem-Solving & Critical Thinking

6 .  Communication & Collaboration

ACHIEVEMENTS

   Skills enhanced through virtual internships:

  • Gained experience in Social Buzz Content Reaction Analysis (Accenture North America).

  • Developed skills in Retail Strategy & Analytics (Quantium).

  • Acquired knowledge of Data Analytics (Deloitte Australia).

  • Enhanced abilities in Data Visualization (TATA).

  • Introduction to Data Science (Commonwealth Bank).

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