Kavit Shah

201-***-**** adlgx3@r.postjobfree.com linkedin.com/in/kavit-shah7 github.com/Kavit

Education

Stevens Institute of Technology, Hoboken, NJ GPA:3.78/4 Masters of Science in Information Systems August 2019 - Present University of Mumbai, MH, IN GPA: 3.79/4

Bachelor’s in Engineering in Information Technology August 2014 - May 2018 Technical Skills

Python, R, C, PostgreSQL, MySQL, Tableau, Power BI, Qlik Sense, Apache Spark, Hadoop, Snowflake, AWS, HTML5, CSS3, PHP, Advanced Excel

Experience

Data Engineer Intern August 2018 - June 2019

Challenger Technologies Pvt Ltd, Mumbai, MH, IN

• Streamlined online business processes integrating internal operations addressing changing business environments for vendors and consumers

• Collaborated with QA and development teams to help design and create dashboards in Tableau to gather business insights and drive better decision-making

• In charge of running ETL operations and other upkeep and maintenance of the data warehouse

• Took the initiative to refactor the existing code base for better readability Projects

Stock prediction using Machine Learning ( Python, R, Machine Learning)

• Cleaned dataset to aid for better model building leveraging statistical imputation and exploratory analysis

• Developed a classification model to predict the stock prices for 2019 based on historical data between 2014-2018 increasing the baseline accuracy by 16.6%, key algorithms used to run a comparative analysis were Decision Tree, Adaboost, SVM

• Prescribed trading recommendations accordingly for maximum profitability to the client Prediction of business expansion using Tableau ( Tableau, MySQL)

• Lead a group of 3 to drive a prescriptive analytical project to help business expansion of a Laundry Startup

• Blended data sets through inner join and removed duplicate copies in data sets for easy data manipulation and processing

• Prepared a Tableau dashboard based on regression models prescribing expansion strategies based on key performance indicators like high returns, high growth potential, high response to marketing, etc Corporate termination assessment ( R, Python)

• As a group of 3, created a employee churn prediction model

• Amalgamated results from selection algorithms like Boruta, Forward & Backward selection and EARTH to determine KPIs

• Ran a comparative analysis between variety of classification algorithms like Logistic Regression, Decision Tree, Random Forest, etc. with hyper-parameter tuning to realise that best algorithm - Random forests which gave accuracy of 75.59% Data Analysis for player behavior at EVE Online ( R, Tableau)

• Utilized beautifulSoup to scrape gaming statistics for the past 12+ years

• Assessed the R-Squared value of model in R to form a scatter-plot of a dependent variable with respect to independent variable and performed Sobel Test to determine results required to study emotions and sentiments of players playing game

• Formulated a statistical model in R and predicted variables of “Achieve” emotion drivers with an accuracy of 79%

• With the aim to enhance the gaming experience and better business returns, prescribed recommendations based on output from the data model

Certifications

• Data Analytics Fundamentals, AWS

• Ultimate AWS Solutions Architect Associate 2020, Udemy

• Digital Assurance Virtual Case Experience, Forage Graduating May 2021

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