Summary
Overview
Work History
Education
Skills
Accomplishments
Timeline
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Gowri Sengundermudaliar

Marietta,GA

Summary

Experienced business and analytics professional with a proven track record of over ten years in engineering, data analytics, and optimization. Successfully executed data science projects that optimized supply chain operations, drove commercial success, and enhanced strategic decision-making. Skilled in strategic planning and developing analytic pathways aligned with business objectives and fostering innovations. Proficient in leading cross-functional teams, mentoring talent, and collaborating with stakeholders to deliver data-driven insights and solutions. Possess expertise in Python, SAS, R, SQL, and data visualization tools, with a strong commitment to utilizing statistics and data science to drive business transformation and gain a competitive advantage.

Overview

18
18
years of professional experience

Work History

Data Scientist Manager

Georgia Pacific LLC
01.2022 - Current


  • Spearheaded the development of the demand forecasting models, achieving a 10% improvement in accuracy and facilitated its adoptability in the S&OP process.
  • Led the OTIF initiatives to alert the planners of any missed OTIF through different stages of the order life cycle, which in turn increased the OTIF rate from 70% to 90%
  • Implemented anomaly detection system for monitoring the process parameters which was responsible for defects in the plywood, reducing the instances of defects by almost 30%
  • Directed a team of data scientists across multiple projects, fostering a collaborative environment and leading to consistent project delivery without slipping delivery schedules.

Data Scientist

Georgia Pacific LLC
05.2019 - 12.2021
  • Using data-driven strategies, developed series of models to facilitate the mill direct process dynamically, thereby capturing an overall savings of about 2.5M annually
  • Demand forecasting of the inventory stocks and building the recommendation model for the transfer of inventory to other facilities based on likelihood and GIS based location estimate. Predicted saving of ~$20M/year
  • Built an optimization model (POC) to source the cullet (broken glasses) based on its availability and tying it with the delivery of finished product. Estimated benefit for the POC is ~$1.85M+
  • Predictive analysis of the machine downtime and anomaly detection, from the machine sensor data. Used Time-Series analysis and FFT, to process the sensor data stored in S3/Redshift.

Graduate Research Assistant - Department of Marketing

Georgia State University, J. Mark Robinson College of Business
08.2018 - 05.2019
  • Designed the prediction tool for identifying the Forward-Looking statement based on SEC-Edger’s 8K

Lead Engineer – Aviation, Renewable Energy

General Electric (GE)
09.2007 - 02.2014
  • Spearheaded the team of 3 engineers and envisaged the aerodynamic performance improvement by ~21%.
  • Remodeled the Experimental Designs using DoE, Time-Series analysis & multiple Regression, thereby eliminating the need for field test.
  • By Optimized Feature selection and devising parallel computing, I was able to reduce cycle time to 1 day from 1 week.

Project Associate

Indian Institute of Science (IISc)
08.2006 - 08.2007
  • Formulated reduced order empirical models for aero-acoustic analysis
  • Signal Processing/Time Series analysis on acoustic waveform, thereby brought down the cycle time from 4 days to 5 hrs.

Education

Master of Science in Analytics -

Georgia State University, J. Mark Robinson College of Business
Atlanta, GA

Master of Engineering - Mechanical -

Indian Institute of Science (IISc)

Bachelor of Engineering - Mechanical -

LD College of Engineering

Skills

Data Science

  • Predictive Modeling and Machine Learning
  • Supply chain Analytics - Demand forecasting, OTIF, Inventory optimization
  • Anomaly Detection and Quality Control
  • Customer segmentation & Sentiment Analysis

Programming and Cloud Computing

  • Python, R, SQL
  • Database Management (MySQL, PostgreSQL)
  • LLMs and GenAI
  • Deep Learning Tools (TensorFlow, Keras, PyTorch)
  • Version Control (Git, GitHub)
  • Data Visualization (Tableau, Power BI)
  • Cloud Platforms: Amazon Web Services (AWS), Microsoft Azure
  • Cloud Services: Serverless Computing (AWS lambda), Data Storage &Management (S3, Redshift)

Project Management

  • Team leadership & Mentorship
  • Cross-Functional Collaboration
  • Strategic Roadmap Development
  • Performance Metrics & KPI tracking

Accomplishments

  • 3 US Patents on Airfoil Design [US2014/0093380A1, US2013/ 9677537B2, US2011/0268557]
  • Authored 2 Conference Publications
  • Six Sigma Green Belt Certification [DMAIC and DFSS]
  • Felicitated with Highest Engg. Excellence Award at GE India (among 150+ projects)
  • Received Global GE award – "Ideas into Power," for prompt delivery, global collaboration and taking initiatives
  • Training on Foundation of Leadership (FoL), a GE initiative to train potential leaders
  • Mentored and coached the robotic team of Nirma Institute of Technology, who were the winner at National Robotic Competition, Robocon-2003 and 2004

Timeline

Data Scientist Manager

Georgia Pacific LLC
01.2022 - Current

Data Scientist

Georgia Pacific LLC
05.2019 - 12.2021

Graduate Research Assistant - Department of Marketing

Georgia State University, J. Mark Robinson College of Business
08.2018 - 05.2019

Lead Engineer – Aviation, Renewable Energy

General Electric (GE)
09.2007 - 02.2014

Project Associate

Indian Institute of Science (IISc)
08.2006 - 08.2007

Master of Science in Analytics -

Georgia State University, J. Mark Robinson College of Business

Master of Engineering - Mechanical -

Indian Institute of Science (IISc)

Bachelor of Engineering - Mechanical -

LD College of Engineering

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