Python, R, SQL, Data Visualization, ETL, AWS, Machine Learning

SHRADDHA THAKKAR

Boston, MA 857-***-**** ********.***********@*****.*** linkedin.com/in/shraddha-thakkar8/ shraddhathakkar.me/ A graduate student with a specialization in Analytics and data-driven mindset. Passionate to learn and build strategies for challenging problems implementing Data Analytics, Business Intelligence, Data Engineering, and Data Science concepts EDUCATION

Northeastern University, Boston, MA September 2018 – April 2020 Master’s in Informatics (Specialization in Analytics) Gujarat Technology University, Ahmedabad, India July 2014 – May 2018 Bachelor of Engineering – Information Technology

TECHNICAL SKILLS

Databases

Programming Languages

Data Integration/BI/ETL

Data Visualization

Machine Learning

Cloud

WORK EXPERIENCE

MySQL, Microsoft SQL Server, Oracle 11g, PostgreSQL Python (Numpy, Pandas, Matplotlib, Sklearn, Seaborn), R (ggplot, dplyr, plotly), SQL, HTML, CSS, C# Talend, SQL Server Integration Services (SSIS), Alteryx, ER/Studio Tableau, Microsoft Power BI, Microsoft Excel (Pivot Tables, Pivot Charts, V lookups) Regression, Classification, Decision Trees, Random Forest, KNN, K-means clustering, PCA Amazon Web Services (IAM, S3, Lambda, DynamoDB, RedShift) Auxi Inc, Cambridge, MA Machine Learning Engineer Intern May 2020-Present

• Working on AI productivity suite, an AI bot that transforms handwritten sketches into fully formatted PowerPoint or Google Slides presentations and beautifying slides with just a press of a button

• Using Python, Machine Learning techniques, ASP.NET C# with PowerPoint APIs and Open XML SDK, implemented agile methodologies thereby achieving an accuracy of around 90% and reported development analysis to the clients Northeastern University, Boston, MA Business Analyst January 2020-March 2020

• Communicated with the stakeholders and tech teams to understand requirements and build iterative solutions

• Conducted users’ interviews, gathered and analyzed their data to create an empathy map and personas through research on behavior pattern of the focus group

• Built metrics and business cases to improve customer experience by creating 10+ prototypes, came up with the solution to increase accessibility and usability of the webpage; resulting in a 10% decrease in the bounce rate Chainaim Pharmaceuticals, Northeastern University, Boston, MA Data Analyst April 2019-June 2019

• Studied the data to segregate the functionalities and tackling problems of reading/cleaning messy data

• Analyzed pharmaceutical data operations using SQL, Microsoft Excel (Pivot Tables, V lookups), and Python to study criteria for finding drugs details, GS1 data standards, and nomenclature for GTN-14

• Identified shortcomings and offered recommendations to help drive client business development resulting in eliminating manual efforts of more than 15 hours/week

PROJECTS github.com/shraddha0796

Retail Data Warehouse (SQL, SSIS, Talend, Power BI, Tableau, ER/Studio, Alteryx)

• Designed a data warehouse in ER/Studio, pipelined and integrated huge dataset of 40 million records from multiple sources (CSV, MySQL, MS SQL Server, Oracle) using ETL techniques on SSIS, Alteryx and Talend

• Used OLAP, Facts and Dimensions tables and executed SCD to maintain historical records, Error Handling

• Devised various performance tuning techniques, thereby resulting in a total integration time of 22 minutes

• Built interactive dashboards to analyze retail sales and business insights using Tableau and Power BI Predicting Readmission of a Diabetic Patient (Python, Machine Learning Algorithms)

• Performed Data Cleaning, Data Exploration, and Preparation, Feature Engineering, and Exploratory Data Analysis (EDA) to predict and develop statistical models (Logistic Regression, Decision Trees, Random Forest)

• Implemented modeling and manipulated data to improve accuracy from 53.78% to approx. 90% Boston- Is it safe? (Data Analysis, RStudio, Data Visualization, Tableau interactive visualizations)

• Loaded, cleaned, and converted data into actionable insights of Boston crimes (2015-2018)

• Conducted exploratory data analysis (EDA), implemented hypothesis testing and predicted crime rate for 2019 using time- series analysis (ARIMA model), stated results with 99% confidence interval AIRBNB Booking and Rental Database (MySQL Workbench, Microsoft SQL Server)

• Modeled Entity Relationship for hotel booking which is a hospitality website that enables people to rent houses

• Normalized database to 3NF and implemented Views, Stored Procedures, Functions, Triggers, User access, Privileges, Transactions, Sub Queries, Joins, Backup and encryption of critical data such as passwords using MD5 Serverless Cloud Application (Python, AWS- S3, Lambda, DynamoDB)

• Configured Lambda function to be triggered on s3 events and publish logs to CloudWatch

• Executed python lambda handler to store all s3 events metadata in DynamoDB

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