Amruta Patil

+91-839*******/902-***-****

adnjkc@r.postjobfree.com

Ambegoan Pune, Maharashtra,India-411046

28th July 1990

English, Hindi, Marathi

www.linkedin.com/in/

amruta-patil-347baa16a

SKILLS

Python

Machine Learning

Deep Learning

Data Analytics

Data Mining

Data Exploration

SQL

Statistical Analysis, Weka

Tableau, Microsoft EXL, PowerPoint

Hadoop, Ecosystems

EDUCATION

M.Sc. Big Data Analytics (77.88%)

CGPA(8.73)

MIT – WPU (2018-2020)

B.C.S (61.20 %)

Shivaji University

(2007-2010)

H.S.C. (50.17%)

Maharashtra State Board

(2006-2007)

S.S.C. (65.33 %)

Maharashtra State Board

(2004-2005)

CERTIFICATION OF PUBLICATION

Customer Churn Analysis and Prediction(IJCATR)

Issued -9th Sep, 2019.

(http://www.ijcat.com ISSN:2319-8656)

CERTIFICATIONS(COURSERA)

Fundamental Of Scalable Data Science

Machine Learning

Introduction to Deep Learning & Neural Networks with Keras

Python For Data Science And AI

Data Analysis with Python

Fundamentals of Visualization with Tableau

Data Analysis using Excel

PROFESSIONAL STRENGTH

Flexible And Adaptive

Creativity

HOBBIES

Music

Playing Game

DECLARATION

I hereby declare that the information given above is true to the best of my Information Knowledge belief.

ABOUT ME

I have done MSc in Big Data Analytics (Data Science) from MIT-WPU. I have hands on experience in Python, Machine Learning, Forecasting analysis, Deep Learning, Tableau, SQL and good interpreting data with Excellent analytical skills.

WORK EXPERIENCE

I have 1 year 8 months of experience at WNS Global Services Pvt. Ltd. as Operation Associate. Worked on business tools like MHCS, BA80.

I have 1 year 5 months of experience at EXL Service Pvt. Ltd. as Operation Associate. Used different systems tools like SAP, Market Flow, and AWB. Worked on Weka, MS-Excel for data analysis. I have more than 1 year internship experience as data scientist and data analyst role at vElement IT Pvt Ltd and PureScan AI Pvt Ltd.

PROJECTS

Plant Disease Prediction

Library Used: Python, CNN, Tensor Flow, Opencv, Scikit-learn, Pillow.

Worked on image data, classify images into different categories of disease. Build CNN model & result gets which type of disease on crop leaf what is treatment for each disease.

Number Plate(Text Recognition)

Library Used: CNN, Tensor Flow, Keras

Worked on image text data. Worked on LabelIMG for image annotation and recognize the vehicle number plate.

Vehicle Detection and Speed Estimation

Library Used: Python, Dlib, OpenCV, Object Detection.

Worked on video frames estimate car detection and speed of the car.

Customer Churn Prediction

Library Used: Python, ML algorithms.

Worked on data analysis, data cleaning, improving performance model, classification data, and multiple types of parameter in which we detect what is reason for customer leaves his service within six months or one year.

Food Analysis Prediction

Library Used: Python, Tensor Flow, Opencv. Worked on spectral image data in which we predict that toxin in maize corn data.

Home Loan Defaulter

Library Used: Python, ML algorithms.

Worked Data Analysis, Data Creation, Data Exploration, Model building. In classification data in which we classify when a customer has already gave loan but they can’t able to pay loan on given time period what’s a reason for that which we predict.

Fraud Prediction Analysis

Library Used: Python, ML algorithms Worked on Data Analysis, Data Creation, Data Exploration, Model building. In classification data classify which data is fraud or not.

Fraud Monitoring System

Platform: Python, Hadoop, Spark, Flume, Sqoop.

Worked on FMS Project, which detect the fraud transactions from all the real-time transaction happening in bank for generating data using simulator, which will create transitions using UI. These transactions will be validated by our system.

Multiplex Management System

Platform: Front End VB .Net (2005), Back End Tool SQL Server.

Worked on management related data and identify by how to maintain customer, employee, movie distributor and canteen distributor data.

Amruta Patil

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