

Data Analyst Trainee with a strong foundation in data analytics, business intelligence, and problem-solving, complemented by a background in pharmaceutical sciences and retail sales management. Proficient in Advanced Excel, SQL, Python, and Power BI, with hands-on experience in data cleaning, visualization, and statistical analysis.
With four years of experience as a Retail Sales Manager, I have developed a keen ability to interpret sales trends, manage inventory efficiently, and understand customer behavior—skills that translate seamlessly into data analytics.
My firsthand experience in the healthcare and retail industries gives me a distinct edge in analyzing business data, identifying patterns, and deriving actionable insights. This blend of domain expertise and analytical skills enables me to bridge the gap between data-driven recommendations and real-world business decisions, setting me apart from other analysts with purely technical backgrounds.
I learned the basics of data analysis by attending multiple classes and successfully completing six projects based on different categories, like loan data analysis, Instagram user analysis, IMDb movie analysis, etc. to deep dive into the world of Data Analysis and train myself for the work environment by performing Real-World projects.
-Successfully analyzed data of over 11000+ entries including Data Cleaning and performing the tasks provided.
-Created a Dashboard using Excel for better visualization.
-Made an Explanation video explaining the working and the thought process that went into deducing insights.
Performed a case study on a dataset of 50,000, including data cleaning and analyzing the tasks given using Excel.
-Deduced valuable insights and visualized them using charts and graphs for precise and thorough Understanding.
-Created a Facecam Explanation Video explaining the thought process that went through working on this project.
-Analyzed a dataset of 5000+ entries including 32 Columns and did appropriate Data Cleaning to perform the given tasks accurately and effectively.
-Created interactive visual charts to showcase the insights accurately.
-Made a presentation Video explaining the reasoning behind the process.