YASHASVI N.

YASHASVI N.

Data Analyst

Boston , United States

Experience: 3 Years

YASHASVI

Boston , United States

Data Analyst

60000 USD / Year

  • Immediate: Available

3 Years

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About Me

Business Analyst, experience in profiling and analyzing the data for driving business solutions. Proficient knowledge in SQL, Data Management, Statistics, Analytics, R, Python. Excellent understanding of Data visualization tools for effective analysi...

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Portfolio Projects

Description

Designed a web resource helping patients/users to track health records. Organized, data cleaning, and consolidated data into single usable formats by applying SQL, HTML/CSS, and Java functions

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Description

Implement Lean startup principles in the product team for developing fast product iterations

  • Collect, analyze and report user behavior in relation to product usage
  • Identify opportunities and validate hypothesis using A/B testing for new product discovery and growth
  • Manage and implement real-time business intelligence dashboard to enhance data analysis for Website/ Webpage and reporting
  • Used predictive analytics such as Machine Learning and data mining techniques to forecast company sales with 95?curacy

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Description

Designed a web resource helping patients/users to track health records. Organized, data cleaning, and consolidated data into single usable formats by applying SQL, HTML/CSS, and Java functions

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Description

Analyzed the list of top 10 hospitals of each different type of bed types listed from BRFSS dataset using MySQL workbench, Transactional-SQL commands and SQL Server Management Studio which results in list of high count of beds in top 10 hospitals

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Description

Analyzed the data attributes by current Employment Statistics dataset using Decision tree, KNN, and K-mean classifications and developed best fit model metropolitan cities determination with an accuracy of 96%

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Description

Analyzed the data attributes by the room occupancy dataset with total of 2664 testing observations to improve operation and management efficiency of room reservation. Used Standard classification, logistic regression and time series classification Resulted in the best-fit model with 97% accuracy through regression and clustering analysis giving AUC larger than 99%.

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Description

Used a k-clustering algorithm for visualization of dataset. Used ggplot2(), pivot tables and dplyr () libraries to perform time series analysis on data to predict the variation in crime rate in Excel & R Studio

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Description

One day challenged to design a NEU roommates website that connects high-quality roommates with similar living habits for improving NU-students life using SQL, Word press and analytics toolkit.

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