Vikhyat Rai

Aspiring Data Scientist with 9 years’ experience in complex business problem-solving and people’s management. Proficient in Python, R, and SQL. Skilled in data analysis, machine learning, and statistical modeling. Strong problem-solving and communication skills. Proven track record of delivering data-driven solutions to complex business problems. Expertise in data visualization using Tableau and Power BI. Continuously learning and adapting to the latest trends in data science. Collaborative team player with excellent cross-functional collaboration abilities.

Business Intelligence & Analytics Project of Spotify (Isenberg School of Management)

• Analyzed data sets of ‘Spotify’ using ‘SQL Studio’ and ‘Tableau’

• Researched company's data in detail with a focus on statistical analysis using BI tools to derive actionable insights.

• Build a report and business implications on “How Spotify Can Improve User Engagement”

Data Science: Predicting California Housing Prices (Isenberg School of Management)

• Utilize data preprocessing techniques to construct a linear regression model that can forecast the Housing prices.

• During the process assessed multicollinearity, as well as evaluated the model's significance using the F-statistics

• Additionally, also utilized R-Squared and adjusted R-Squared values to determine the amount of variation in home value that the model explains

• Further tested: Mean of residual, Heteroscedasticity, Linearity of variables, Normality of error terms