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.
<p>Solved 10 SQL Challenge of various difficulty level</p>
<p>Analysed Bangalore Zomato dataset from the point of view of someone who is a new entrant into the restaurant business<br>
Created charts<br>
Created dashboards<br>
Derived insights<br>
Conducted in-depth analysis of the Kickstarter projects dataset using Power BI<br>
Designed and developed an interactive dashboard<br>
Implemented bookmarks and page navigation features in Power BI<br>
Utilized AI key-influencers functionality to identify crucial factors impacting the success of Kickstarter projects<br>
Demonstrated proficiency in data analysis<br>
Demonstrated proficiency in visualization<br>
Demonstrated proficiency in utilizing Power BI for actionable insights<br>
Successfully participated in the Onyx Data Visualization Challenge<br>
Analyzed the Forbes billionaire dataset<br>
Utilized Tableau to create an interactive and visually appealing dashboard<br>
Conducted a comprehensive analysis of Airbnb data for Amsterdam from 2008 to 2018<br>
Utilized SQL queries and Microsoft Excel to determine profitable property trends for Airbnb<br>
Employed MySQL Workbench for efficient data querying and analysis<br>
Identified key factors affecting property profitability<br>
Prepared a comprehensive PowerPoint presentation summarizing the analysis and key findings<br>
Successfully completed the analysis<br>
Utilized Linear Regression in Python to explore the factors influencing temperature variations<br>
Extracted valuable insights from the data to understand temperature patterns and trends<br>
Leveraged Python libraries for data analysis, visualization and to implement the predictive model<br>
Utilized Logistic Regression technique in Python to analyze the dataset<br>
Predicted customer behaviour to identify which customers are more likely to purchase Ads<br>
Conducted data pre-processing and feature engineering to prepare the dataset for modelling<br>
Developed and implemented the Logistic Regression model to achieve accurate predictions<br>
Participated in PwC Power BI In Data Analytics Virtual Case Experience conducted by Forage<br>
Leveraged data analysis and visualization skills to prepare informative dashboards<br>
Conducted trend analysis on call center data<br>
Explored customer retention metrics<br>
Examined diversity and inclusion data<br>
Utilized data visualization tools to present findings effectively<br>
Gained hands-on experience in data interpretation and dashboard creation</p>
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
