Data Supply Chain

PARTHA

SATPATHY

SUMMARY

• * years of IT experience in Data Analytics, Java Development, Business Intelligence, Data Warehousing, Database, ERP, Automation, and Testing.

• Advanced Data Science and Analytics capabilities (Exploratory Data Techniques, Machine Learning, predictive modelling, Natural Language Processing).

• Led a team of 6 resources.

• Excellent communication, presentation, and visualization skills. Experience with tools like Tableau, Matplotlib, Seaborn, ggplot2.

• Experience in Supervised learning methods (linear and logistic regression, decision trees, random forests, support vector machines, knn, neural networks).

• Experience in Unsupervised learning methods (K-means, hierarchical clustering, association rules, principal components analysis etc.)

EDUCATION

Master of Science in Data Science, GPA 4.0 Graduation: Aug 2017

Rawls College of Business, Texas Tech University Lubbock, TX

Bachelor in Electronics & Comm. Engineering, GPA 8.12 Graduation: May 2009

National Institute of Science & Technology Berhampur, India

WORK EXPERIENCE

Teaching Assistant Sept 2016 - Present

Texas Tech University Lubbock, TX

• Worked with University Professor to create a proposal for an app that will predict the irrigation and seed planting timing for farmers in West Texas using Machine Learning.

• Taught Tableau to students.

Data Analyst Sept 2014 - July 2016

Capgemini Pune, India

• Worked on end-to-end implementation of Business Intelligence and Data Analytics to help client take decision on Market Investment.

• Worked on Oracle Financial upgrade, Data Warehouse implementation, SAP BO and Tableau reporting.

• Mined data using SQL for different reports and dashboards from database and data warehouse.

• Groomed an automation team by teaching them Java and Selenium.

Automation Engineer Apr 2012 - Sept 2014

Oracle Hyderabad, India

• Automated testing of Oracle Fusion ERP with Java as Scripting language using Oracle Automation Test Suite.

• Worked in functional and database testing (SQL) of Oracle Financial, Supply chain, and Project Management.

• Worked in Agile Environment.

System Engineer Aug 2009 - Apr 2012

Infosys Chennai, India

• Worked in creating an Employee Management Website in Java.

• Tested SQL database for Oracle Financial and Supply chain management.

KEY PROJECTS

Machine Learning:

Data Science Bowl 2017:

oThe aim of this project is to develop algorithms for lung cancer detection using thousands of Lung scans.

oUsed Multinomial Logistic Regression and Xgboost model using python.

oWorked on matplotlib python visualization, numpy arrays, handling huge amount of data.

DengeAI:

oThe aim of this project is to predict the spread of Dengue based on weather and seasonal conditions.

oUsed R and Time Series prediction to predict missing values and ggplot2 for visualization.

oUsed CARET package to use GBM and xgboost models. Also, used Moving Average for smoothing.

Online Article Summarization:

oThe aim of this project is to develop an algorithm that will read an online article and will create a summary of the article.

oUsed Natural Language Processing to create a ‘Bag-of-Words’ model using NLTK and sklearn packages.

Leaf Classification:

oThe objective of this project is to use binary leaf images and identify 99 species of leaves.

o Created new features such as texture, shape and margin of leaf using opencV2 package.

oUsed Feature selection, Feature scaling(PCA) and applied modelling techniques such as Multinomial Logistic Regression, Random Forest using Python.

oImplemented Neural Network using Keras which landed me on top 11% in leaderboard.

Digit Recognizer:

oThe aim of this project is to correctly identify digits from a huge dataset of handwritten images.

oSuccessfully applied Convolutional Neural Network(CNN) using Tensorflow.

Two Sigma Connect:

oThe objective of this project is to predict the number of inquiries a new listing receives based on the listing’s creation date and other features.

o Data Visualization using Python matplotlib and Seaborn package.

oUsed nltk package to learn from rental listing’s features and Description.

oImplemented xgboost and GridSearchCV to tune the parameters.

Business Intelligence:

oWorked as Data Analyst to upgrade the Oracle ERP software 11i to Oracle EBS and the subsequent implementation of ETL, Data Warehouse and SAP Business Objects software.

oMade Tableau dashboard for client executives showing Portfolio performance.

CERTIFICATIONS

Python for Data Science from Data Camp

Data Visualization with Python from Data Camp

Exploratory Data Analysis in R from Data Camp

Time Series Analysis from Data Camp

Big Data Foundations from IBM

AWARDS AND ACHIEVEMENTS

Awarded Employee of the Year-2015 at Capgemini, Pune Office.

Appreciated by the client for taking several initiatives apart from usual office work.

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