Alishba Khan
@alishbakhan1
Aspiring data analyst with a strong foundation in data visualization.
What I'm looking for
I am an enthusiastic data analyst intern with a passion for transforming data into actionable insights. During my internship at Beelu, a toy company, I conducted comprehensive market and sales data analysis, which led to a remarkable 23% increase in overall company profit. By designing and implementing interactive dashboards using Power BI, I enabled the marketing team to optimize their campaigns, resulting in a 15% increase in conversion rates.
My academic background in Computer Science, coupled with my hands-on experience in data analysis, has equipped me with the skills to clean and structure raw data, ensuring accuracy and consistency for reporting. I have successfully completed projects such as the Netflix Movie Dataset Analysis, where I utilized Python and various libraries to uncover viewer preferences and trends. Additionally, my work on sentiment analysis showcased my ability to apply machine learning techniques to derive meaningful insights from user-generated content.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Beelu
Nov 2024 - Present (7 months)
Conducted market and sales data analysis to identify top-performing toy categories and customer trends using Python and Power BI, contributing to a 23% increase in overall company profit. Designed and implemented interactive dashboards to monitor KPIs, enabling the marketing team to optimize campaigns resulting in a 15% increase in conversion rates.
Education
Degrees, certifications, and relevant coursework
NFC Institute of Engineering and Technology
Bachelor in Computer Science, Computer Science
Grade: 3.95/4
Studied computer science fundamentals, including programming, data structures, and algorithms. Achieved a GPA of 3.95/4, demonstrating strong academic performance.
NFC University
Bachelor in Computer Science, Computer Science
Grade: 3.95/4
Studied computer science fundamentals, including programming, data structures, and algorithms. Achieved a GPA of 3.95/4, demonstrating strong academic performance.
Availability
Location
Authorized to work in
Job categories
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