Rahul Kumar

Machine Learning projects to predict sales

● Used machine learning algorithms ( i.e Logistic Regression, Decision

Tree, RandomForest, Gradient Boost, KNN )

● Performed EDA to gather insights into the data

● Tackled various issues with the data set such as missing values, outliers etc.

● Performed various techniques such as scaling, label encoding, and

missing value imputation.

• Spearheaded a comprehensive analysis of customer behavior and purchasing patterns, resulting in a 30% increase in average order value
• Led the analysis and insights generation on Logistics costs, resulting in a substantial reduction in relative logistics costs and a decrease in
  Cost Per Order (CPO) by 45%
• Used Sql, Google sheets, MS Excel and Metabase for data manipulation - Used Goggle Data studio for visualization tasks
• Collaborated with cross-functional teams to ensure seamless integration of MIS systems within the organization.

• Supported management in analyzing process performance data, identifying areas for improvement.
• Produced reports for leads to check ACW and AHT for the agents on the floor.
• Helped in bringing ACW down to 6 minutes.
• Produced monthly reports using advanced Excel spreadsheet functions.
• Improved data visualization techniques, making insights more accessible to non-technical stakeholders.
• Participated in regular team meetings, contributing valuable insights toward process enhancements.
• Provided exceptional customer service when interacting with clients or vendors during process execution tasks.

• Machine Learning project to Predict credit card approval chances
• Used machine learning algorithms ( i.e Logistic Regression, Decision
• Tree, RandomForest, Gradient Boost, KNN )
• Performed EDA to gather insights into the data
• Tackled various issues with the data set such as missing values, outliers etc
• Performed various techniques such as scaling, label encoding, and missing value imputation
• Power BI project
• Used Power BI to make a data analytic report and dashboard for an online ecommerce store
• Created an interactive dashboard to track and analyse online sales dashboard
• Used complex parameters to drill down in worksheet and customisation using filters and slicers
• Created connections, joined new tables, calculations to manipulate data and enabled user driven parameters for visualisation
• Used different types of customised visualisation (bar chart, pie chart, donutchart, clustered bar chart, scatter chart, line chart, area chart, map slicers etc.)
• Cognizant : 09 months (Google Project) - Worked on Google Maps
• Used Google Sheets and MS Excel for day to day work - Worked on Phone/email/chat channel, - Worked as Analyst and Virtual, - Used Google Sheets, MS Excel and My SQL for day to day work - Made reports and presentation on Power BI /
• Looker for leadership to gauge the performance and metrics of agents on the floor.

• Collaborated with cross-functional teams to identify opportunities for process improvement and increased efficiency.
• Leveraged statistical modeling techniques to identify trends, patterns, and correlations within complex datasets.
• Resolved complex data discrepancies, conducting thorough root-cause analyses and implementing corrective actions.
• Streamlined reporting processes for increased efficiency, utilizing advanced data visualization tools.