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Data Science Customer Service

Location:
Rochester Hills, MI
Salary:
70000
Posted:
July 24, 2023

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Resume:

Prachi Patil

Rochester Hills, MI *****248-***-****

***************@*****.***

www.linkedin.com/in/prachi-patil-80944324/

Qualifications Summary

Motivated professional with hands-on experience providing valuable insights via data analytics and advanced data-driven methods. Familiar with scientific research, machine learning, and software testing. Possess excellent teamwork, communication, and interpersonal skills. Able to quickly learn and apply new skills, techniques, and technologies.

Data Science

Expertise in extracting, gathering, and analyzing data using specialist tools that help make decisions.

Skilled at building statistical models to improve customer experience and optimize processes.

Project Management

Adept at leading multiple projects, from conception to completion, according to strict deadlines.

Demonstrated ability to deliver computational solutions and end-to-end products for businesses and clients.

Technical Proficiencies

Languages:

R, Python, HTML, Tableau, SQL, C, XML

Software:

MS Office, Microsoft 365

Operating System:

MS-DOS, Windows 98/2000/2003

Professional Experience

Simplilearn 2022 – Present

Course Completion Projects

Communicate with customers to establish business and data requirements. Create tools or queries to obtain data from data repository for reporting qualitative and quantitative data analysis and present final analysis.

Data Exploration:

oPerformed descriptive analysis and understand and explored variables and their corresponding values.

oVisually explored relevant variables using histograms. Treated the missing values accordingly.

Data Modeling:

oDevised strategies for model building. Used classification algorithm to build a model.

oCompared various models with the results from KNN algorithm.

Data Reporting:

oCreated pie/scatter chart, histogram, and heat map of correlation analysis among relevant variables.

Comparison of Region Based on Sales:

oEnquired each region operator to record, visualize, and analyze sales data using a dashboard.

oSuggested necessary improvements, produced charts, and compared sales between two regions.

Healthcare Appointment No-Show:

oProvided dataset in CSV format and resolved the problem by understanding reasons for no-shows leading to higher costs and underutilization of resources, while affecting service quality of organizations.

Cafe Ocean Data Analysis:

oDelivered dataset in the CSV format and best possible service to customers that raised sales.

Comcast Telecom Consumer Complaints:

oDiagnosed and solved company’s issue with the with customer service.

Mercedes-Benz Greener Manufacturing:

oDrove automotive improvements, including passenger safety cell with crumple zone, airbag, and intelligent assistance systems.

oOffered a large selection of features and options for customers to select customized Mercedes-Benz.

oReduced the time a Mercedes-Benz spends on test bench as well as applied for ~2K patents annually, while making the brand European leader among premium carmakers.

Additional Experience

Lecturer - Electronics & Telecommunications, G.S. Moze College of Engineering Pune MIT Aurangabad, MH, IN

Education

Post-Graduate Program in Data Science

Purdue University, West Lafayette, IN, 2023

Master of Engineering in Electronics (First Class)

Government College of Engineering, Aurangabad (GECA), Maharashtra, IN

Bachelor of Technology in E&TC (Distinction)

MIT Aurangabad, Maharashtra, IN

Professional Development

Certificate of Achievement, PGP DS-Tableau Desktop 10 PGP-Data Science Capstone, Simplilearn, 2023

Certificates of Achievement, Math Refresher PGP-Data Science with R/Python Programming Fundamental PGP-R Programming for Data Science PGP-Machine Learning Python for Data Science, Simplilearn, 2022

PC DS - R Programming for Data Science with R/Python for Data Science/Tableau

PG DS - Data Science with Python/Machine Learning

Volunteer Experience

Rochester Community Schools, Para Educator, 2022 – Present

Languages

English, Hindi, & Marathi - Speak, Read, Write



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