Data Supply Chain

Dhanashree Pokale https://www.linkedin.com/in/dhanashreepokale ********@****.**.*** • 513-***-**** https://github.com/DhanashreePokale/ http://thevectormachine.com

HIGHLIGHTS

Certified Statistical Business Analyst by SAS Certified in Machine Learning & Data Science at Scale by Coursera

EDUCATION

University of Cincinnati, Master of Science, Business Analytics; GPA: 3.6/4 August 2017

Nagpur University, Nagpur, India, Bachelor of Engineering in Electronics June 2013

EXPERIENCE

Centre for Enhancement of Teaching & Learning, University of Cincinnati October 2016 - Present

Graduate Assistant Data Consultant

Revamped excel based reporting to a SQL database & created BI-Analytics Tableau reports

Delivered conferences to university professors/deans on effective use of these dashboards

Frisch’s Big Boy Restaurant, Cincinnati, Ohio February – April 2017

Student Consultant Project Lead

Product Pricing Analysis- Designed a Predictive Pricing Model for a Frisch’s Big Boy Restaurant using R & IV Regression technique to provide a price sensitivity index for high priority menu items

InfoCepts, Nagpur, India October 2013 – July 2016

Associate Consultant (BI & Analytics Developer Analyst)

Devised time series models like ARIMA, Smoothing and Decomposition in R as a part of re-usable Forecasting Accelerator project

Developed Point of View on Accounting Fraud Analytics use cases

Created HR Analytics Dashboard using integrated platform of MicroStrategy & R’s Logistic Regression script

Worked closely with clients, warehoused data & created BI reports/dashboards for 6+ clients in supply chain management, IT service management, customer relationship management & accounting verticals

REPRESENTATIVE PROJECTS

Image Processing & Classification– Using Tensorflow, Numpy, Scipy, Scikit Learn Python packages to apply convolution neural networks for detecting Google street view house numbers

Genetic Algorithms for Optimization - Worked to understand GA in OLS regression, equation optimization problem and ideas were extended to understand its usage in search query optimization

Handwriting Recognition – Used Python (pipelines & search grid techniques) to apply Random Forest & Neural Network technique for rightly identifying numbers from images of handwritten numbers

Twitter Sentiment Analysis using Python – Accessed Twitter API using Python, estimated public’s perception of terms & analyzed relationship between location & mood based on a sample of twitter data

Wine Quality Classification – Used resampling techniques, ordinal regression & ordinal neural networks to classify wine based on variables like concentration of alcohol, SO2, and other results from physicochemical tests

Ocean Microbes Classification – Used decision tree, random forest & support vector machine in R to correctly classify the microbes

Python MapReduce Framework– Designed and implemented MapReduce algorithms for data processing tasks like relational joins, inverted index, social network analysis and matrix multiplication

Graph Analysis in the Cloud– Used AWS, elastic MapReduce & Pig to perform graph analysis over 600GB sized dataset

Machine Learning with Octave – Implemented machine learning techniques like support vector machine, principal component analysis & anomaly detection in Octave

Working with IoT data – Used ApacheSparkSQL & Python to perform exploratory data analysis & visualize simulated sensor data

SKILLS & CERTIFICATIONS

Languages – R, Python, SAS, Excel VB Script, Java Script, HTML

Tools - MicroStrategy, Tableau, SAS, SAS EM, MATLAB/Octave, Informatica, Pig, AWS, MapReduce, Hadoop

Databases - MS-SQL Server, Oracle11g, Netezza

Certifications - Coursera Certified for Neural Networks(Ongoing), Machine Learning, R Programming, Data Science at Scale, EDx Certified for Analytics Edge, Exploring and Visualizing IoT Data by IBM

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