Digital Marketing Data

PRAFUL PRAVEEN BADAMI

Boston, MA 480-***-**** **********@*****.*** linkedin.com/in/praful-praveen-badami https://github.com/prafulpb99/

EDUCATION

Northeastern University, Boston, MA (GPA: 3.7) Aug 2018 - June 2020(projected)

Master of Science in Information Systems

Relevant Courses: Advance Data Science and Architecture, Data warehousing and BI, Digital Marketing using AI

Visvesvaraya Technological University, Bengaluru, India Sep 2012 – July 2016

Bachelor of Engineering in Electronics and Communication

Relevant Courses: Programming using C, Operating Systems, Data Mining, Programming using C++

PROFESSIONAL EXPERIENCE

Novant Health, Charlotte, North Carolina Jul 2019 – Dec 2019

Data Scientist Co-op

Developed a binary classification model to predict the possibility of Knee replacement surgery with an accuracy of 72%, empowering the marketing team with the target patients every month

Built an NLP application to analyze ‘Social Determinates of Health’ for the patients from the physician notes

Developed ‘Diabetes Risk Management’ self-service BI application to track key performance indicators (KPI’s), identify trends, and monitor patient’s health quotient

Automated reports using Python (Pandas) and complex SQL procedures, by reducing the manual look up effort by 65%

Improved processing speed by 40% of existing NLP application by converting python codes to PySpark on Azure Databricks

Performed analysis on company’s data and built a PowerBI Dashboard to identify leakage of $71M to other facilities

Established an ETL pipeline to accurately integrate large volumes of data on Microsoft SQL Server/Azure database using Talend to perform advanced analytics

Built a web – based search engine to search company’s master data by leveraging Microsoft Azure Search capabilities

Accenture Solutions Private Limited, Bengaluru, India

Application Development Analyst Jan 2018 – June 2018

Generated reports, dashboards, workbook using Tableau to visualize sale trends of the clients’ products

Extensive involvement in requirement gathering, process improvement and analyzing client’s requirement

Re-engineered existing ETL jobs to increase data accuracy, data stability, and pipeline performance

Application Development Associate Jan 2017 – Dec 2017

Supported ETL process using Talend transforming data and reducing inaccurate data on an average from 25% to 6%

Performed weekly monitoring and query optimization activities to improve database performance

ACADEMIC PROJECTS

Customer Segmentation using RFM: Data Science (Unsupervised Learning) Jan 2020

Performed Customer Segmentation based on RFM Analysis using K-Means Clustering on superstore data. Categorized customers in terms of loyalty and Prevented loss of 1M customers and visualized using Looker.

Retail Data Warehouse: Data warehousing and Business Intelligence Mar 2019

Developed a Kimball data warehouse architecture to perform ETL on OLTP and Flat files using Talend and SSIS.

Analyzed sales trends and customer segmentation by building customized dashboard using Tableau and Power BI

Chatbot: Conversational AI Mar 2019

Developed a Chatbot using Rasa AI framework, scalable across other platforms with minimal plug-ins. Integrated a

technique to detect offensive words used and respond with a corrective measure and performed Sentiment Analysis

Earthquake Magnitude Prediction: Data Science (Supervised Learning) Feb 2019

Performed data mining, data pre-processing and feature engineering on the data from Amazon S3 using Python (Pandas). Developed a regression model to predict the magnitude of the earthquake which was 95% accurate

Countries of the World: Data Visualization Jan 2019

Performed statistical analysis on data to develop insights using Python (Pandas and NumPy) and visualized the findings

using Matplotlib and seaborn python libraries

TECHNICAL SKILLS

Programming Languages: Python, SQL, HTML, CSS, Java, Spark SQL

Analytical tools: Tableau, Microsoft Excel, Microsoft PowerBI, Qlik Sense, SSRS, QuickSight

Databases: MySQL, Microsoft SQL Server, Oracle, DynamoDB

Software: R Studio, MySQL Workbench, Jupyter, Spyder

Cloud Platforms: Microsoft Azure, AWS Services

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