Akhilesh Agnihotri

Hello! I’m Akhilesh, an experienced analytics professional and data science enthusist. I was born and raised in Aurangabad (India), ‘the City of Gates’ where you can find an exact replica of the Taj Mahal.

Academic Background

• B.Tech in Electrical Engineering 2010-2014 (IIT Indore, Indore, India)
• M.S in Business Analytics 2017-2018 (University of Cincinnati, Cincinnati, OH)

Professional Background

• Joined Capital One as a Senior Data Analyst in September 2017
• Worked as Senior Business Analyst at Affine Analytics
• Worked as Trainee Decision Scientist at Mu Sigma

During my 3 years of corporate experience, I have been primarily responsible for:

• Drilling down analysis of key business problems, interpreting results, generating insight and recommending strategies
• Delivering well organized data analysis through reporting, dashboards, and trend

Some of the proejcts I have worked on include:

• Web analytics:

1. Assessed the impact of website redesign on key metrics

2. Advised Travelers on the best time to conduct server maintainance which minimizes impact on web visitors

• Game Analytics: Advised Activision on most popular in-game features of Call of Duty titles

• Marketing Analytics:

1. Conducted market basket analysis for https://www.cincyfavorites.com/ using association rules to improve on existing cross-selling offers on the website

2. Performed customer segmentation to improve on sales via tailored marketing campaigns

Detailed information about my work experience is available on the LinkedIn page

Tools and Methodologies

Analytics Methodologies:

• Supervised Learning: Regression, Trees, Random Forest, General Additive Models, Linear Discriminant Analysis, Time Series Forecasting
• Unsupervisod Learning: Association Rules, Clustering, Principal Component Analysis, Sentiment Analysis, Text Analytics (Unigram)

Tools:

• Statistical Softwares: R, Python, SAS
• Data Management: Hive, Teradata
• Visualization: Tableau, Spotfire, Excel

Thank you!