Data Science Professional

Kush Patel

714-***-**** ****.*****@****.****.*** www.linkedin.com/in/kush-patel-ucsd

Professional Synopsis

Result oriented and goal driven professional with 2+ years of Predictive Modelling experience in the field of marketing, online advertising and churn management

Strong hands-on modelling skills and strong analytic programming skills using R, MATLAB, C++ and exposure to advanced Excel and SQL.

Ability to make the analysis reproducible by creating intelligent business solutions using Shiny, Power BI, and Tableau

Strong knowledge of data mining techniques, including regression analysis, time series analysis, Optimization, Neural Networks, Decision Trees, random forests, Bayesian methods, and apriori algorithms,

Demonstrated expertise in statistics and machine learning methodologies (supervised and unsupervised models)

Demonstrated project management and thought leadership skills while working for Fortune 50 technology and retail companies

Education

Master of Science in Business Analytics, University of California, San Diego, 07/2017, GPA (till date): 3.60

Bachelor of Technology in Electrical and Electronics Engineering, SRM University, 07/2014, GPA: 3.36

Experience

Business Analyst Intern, UCSD MSBA Capstone Project: Micro-market competition engine, ViaSat Inc., San Diego, US, 04/2017 to 08/2017

Assisted ViaSat’s data science division in early identification of churn hotspots due to increased competitive pressures using outlier detection and proximity based clustering

Created an interactive Shiny app to visualize and report regions of abnormal disconnects across different geographic and time level

The app would enable ViaSat to proactively identify regions of high competition and perform mitigating actions to retain its customers

Graduate Research Assistant: Kenneth C. Wilbur (Associate Professor, Marketing), UCSD, San Diego, US, 01/2017 to 03/2017

Partnered with an advertising analytics company to screen and score video advertisements based on a survey method used to measure creative and emotional impact of ads.

Worked with large unstructured (text) data to identify new customer-centric features like sentiment, advertiser, brand and creative using topic modeling, sentiment analysis, and various other string matching algorithms.

Business Analyst: Search Advertising Analytics and Insights, Mu Sigma Inc., Bangalore, India, 05/2015 to 06/2016

Collaborated with a Fortune 50 technology giant’s search advertising analytics insights team to discover advertiser opportunities and business potential by providing advanced scalable analytics for marketplace network

Led a three-person analyst team to design and develop dashboards to determine monetizing opportunities posed by seasonal events; identified potential advertisers thereby boosting advertiser density

Formulated a tool to generate performance and conversion insights by correlating adoption with performance; aligned adoption with user behavior to boost user engagement

Business Analyst: Display Ad Targeting and Analytics, Mu Sigma Inc., Bangalore, India, 11/2014 to 05/2015

Assisted a Fortune 50 technology giant’s display ad targeting division to strategy, prioritization, and development of its audience targeting platform in its display advertising network

Constructed and managed a monthly business update report in Excel to monitor revenue variations of audience products; identified and recommended actions thereby increasing month over month revenue gains

Developed and maintained weekly operational performance and productivity dashboard across key and non-key markets to facilitate performance review process, in a team of 5 members

Academic Projects

Titanic: Machine Learning from Disaster, Kaggle, 01/2017: Predicted the survival of the Titanic passengers using Random Forest algorithms based on conditional inference trees. Achieved an accuracy of 80% and a standing in the top 18 percentile of the competitors.

Vista Unified School District Common Core Survey project, UCSD, 11/2016: Assisted Vista Unified school district in predicting the survey questions highly correlated to a teacher’s, attitude, acceptance, and behavior towards common core standards by three years of survey data as well as survey text data

Face Detection Analysis using Gabor Features Extraction and Artificial Neural Network, SRM University, 04/2014; Extracted facial features from images varying in brightness, contrast, and illumination levels by leveraging classification based Gabor filter. The features extracted are used to train a feedforward neural network.

Academic Awards and Honors

Awarded Merit based Rady Fellowship of $15,000 for entire period of course of study at Rady School of Management – UC San Diego

Specialized Skills

R (Shiny, Markdown, SparklyR), SQL, MATLAB, C++, Power BI, Excel Advanced (VBA Macros, PowerView, PowerPivot, DAX queries, OLAP), Microsoft Access, Tableau, Hadoop, Spark, Cloudera Impala

Regression Analysis, Decision trees, Neural Net, Time Series Modelling, Random Forest, Web Scrapping using API calls, Text Mining, Sentiment analysis, Topic modeling, Market Basket Analysis, Spatial Analysis

Professional Affiliations & Interests

Rady Analytics Club (board member)

Bing Ads Accredited Professional

Professional Interests: Probability and Statistics, Predictive Analytics, Machine Learning

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