Analytical, results-oriented economics graduate with a passion for leveraging data to uncover insightful stories. Proficient in machine learning, data visualization, and reporting tools, as well as adept at working with …
Analytical, results-oriented economics graduate with a passion for leveraging data to uncover insightful stories. Proficient in machine learning, data visualization, and reporting tools, as well as adept at working with diverse databases. Skilled at translating business challenges into analytical problems through active engagement with market stakeholders. Committed to continuous personal growth, constantly seeking to expand knowledge and refine skills. Eager to take on a responsible role within the analytics industry.
Solved 10 SQL Challenge of various difficulty level
Analysed Bangalore Zomato dataset from the point of view of someone who is a new entrant into the restaurant business
Created charts
Created dashboards
Derived insights
Conducted in-depth analysis of the Kickstarter projects dataset using Power BI
Designed and developed an interactive dashboard
Implemented bookmarks and page navigation features in Power BI
Utilized AI key-influencers functionality to identify crucial factors impacting the success of Kickstarter projects
Demonstrated proficiency in data analysis
Demonstrated proficiency in visualization
Demonstrated proficiency in utilizing Power BI for actionable insights
Successfully participated in the Onyx Data Visualization Challenge
Analyzed the Forbes billionaire dataset
Utilized Tableau to create an interactive and visually appealing dashboard
Conducted a comprehensive analysis of Airbnb data for Amsterdam from 2008 to 2018
Utilized SQL queries and Microsoft Excel to determine profitable property trends for Airbnb
Employed MySQL Workbench for efficient data querying and analysis
Identified key factors affecting property profitability
Prepared a comprehensive PowerPoint presentation summarizing the analysis and key findings
Successfully completed the analysis
Utilized Linear Regression in Python to explore the factors influencing temperature variations
Extracted valuable insights from the data to understand temperature patterns and trends
Leveraged Python libraries for data analysis, visualization and to implement the predictive model
Utilized Logistic Regression technique in Python to analyze the dataset
Predicted customer behaviour to identify which customers are more likely to purchase Ads
Conducted data pre-processing and feature engineering to prepare the dataset for modelling
Developed and implemented the Logistic Regression model to achieve accurate predictions
Participated in PwC Power BI In Data Analytics Virtual Case Experience conducted by Forage
Leveraged data analysis and visualization skills to prepare informative dashboards
Conducted trend analysis on call center data
Explored customer retention metrics
Examined diversity and inclusion data
Utilized data visualization tools to present findings effectively
Gained hands-on experience in data interpretation and dashboard creation
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
د.جوب منطقة حرة ذ.م.م. 2026 © جميع الحقوق محفوظة
