SHIVAHARI REVATHI VENKATESWARAN

LinkedIn GitHub Ph: 857-***-**** adg68m@r.postjobfree.com 30 Iroquois St, Apt 19, Boston, MA, 02120

EDUCATION

Northeastern University, Boston (MS in Engineering Management GPA – 3.9/4.0) Aug 2018- Dec 2020 Specialization: Data Science and Machine Learning

Coursework: Data Mining, Neural Networks & Deep Learning, Collect, Store & Retrieve Data, Probability and Statistics, Natural Language Processing, Supply Chain Engineering, Project Management, Economic Decision Making University of California San Diego (Micro master’s in Data Science) May 2019- Aug 2020 Coursework: Data Science (Python), Machine Learning Fundamentals, Big Data Analytics (Spark), Probability & Statistics Massachusetts Institute of Technology (Micro master’s in Supply Chain Management) Sep 2018-Mar 2020 Coursework: Supply Chain - Analytics, Fundamentals, Design, Dynamics, Technology and System Anna University, India (Bachelor’s in Electronics and Communications Engineering) Jun2012-Apr 2016 TECHNICAL SKILLS

Programming Python, R, Hadoop, Spark, Hive, SAS, C, C++, C#, Java, SAS Database Management RDBMS, MySQL, NoSQL, MongoDB, PostgreSQL, DAX, OBIEE, SAP ERP Libraries NumPy, Pandas, Matplotlib, seaborn, Scikit-learn, MLlib, Pytorch, Keras, Tensorflow, nltk Technologies Jupyter, AWS SageMaker, Azure, SharePoint, PowerBI, Tableau, VBA macros Certifications Oracle Certified Professional (Java SE 6 Programmer), Six Sigma Green Belt PROFESSIONAL EXPERIENCE

Vertex Pharmaceuticals, Boston Dec 2019-Aug 2020

Business Intelligence analyst Coop

• Devised a custom data warehouse across sourcing teams by integrating different sources of spend reports from OBIEE

• Automated quarterly dashboards in PowerBI to track and report the live spends, KPIs across 7 different souring groups

• Improved the data quality of several spend reports by normalization and transformation and made it ready for analysis

• Performed risk value matrix by collaborating several visuals in PowerBI to assess the performance of suppliers for SRM

• Developed algorithm using python to find newly created purchase orders to build category strategy with 100% accuracy

• Identified business trends by building complex sql queries and stored procedures for building executive business reviews

• Built an optimization model using SAS that selects suitable supplier and reduced overall indirect cost by $80k Northeastern University, (Teaching Assistant - Operations Research) Sep 2019-Dec 2019

• Collaborated with professor in optimization, duality, convexity and mathematical programming (LP, Non-LP, MILP)

• Implemented several ML, heuristics and simulation models for various supply chain data using python and SAS Infosys Limited, Bangalore, IN May 2016-Jul 2018

Software Systems Engineer (AI - Automation)

• Performed data preprocessing, feature engineering, A/B testing and EDA for various data sets using python

• Designed data models, performed statistical and predictive analysis, hyper parameter tuning for various data sets

• Created an AI tool that automatically predicted the segmentation of service requests with F1 score of 0.82

• Automated ETL processes, making it easier to wrangle data and reducing time by as much as 50%

• Automated O365 licensing for new employees and reduced the processing time by over 90%, using C#

• Built C# and SQL scripts to select, validate and upload data from SharePoint sites to build/deploy apps in Azure RESEARCH PAPER AND ACADEMIC PROJECT

International Conference – American Society for Engineering Management Feb 2020-Oct 2020 Counteracting the Bullwhip effect using Machine Learning (Python)

• Reduced high dimensional demand data from 134 to 4 principal components by Scikit-learn and captured 70% variance

• Clustered the sales of each product categories with respect to customers using k++ initialization

• Forecasted demand over lead time by ARIMA, SARIMA and LSTM time series models and achieved RMSE of $20 Advance House Price Prediction (Using PyTorch) Jun 2020-Aug 2020

• Built a predictive feed forward neural network and forecasted the house price and achieved RMSE of $48k

• Used MSE loss function, ReLU activation function, adam optimizer with a dropout ratio of 0.4 Information Repository (Using R and Tableau) Sep 2020-Dec 2020

• Performed web scrapping using rvest to extract data from amazon and built an information repository for apple products

• Designed a data base and created stored procedures, triggers, views and displayed the results using Tableau

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