Machine Learning Data Science

Sukrati Gautam

Lafayette, IN linkedin.com/in/sukratii/ 765-***-**** ********@******.***

EDUCATION

Purdue University West Lafayette, IN

Ph.D., Computational Env. Engineering, Minor Computer Science (GPA: 3.91/4.00) Aug 2021 – Jun 2026

●Relevant Courses: Machine learning, Advanced Statistics, Causal Inference, Deep Learning, Artificial Intelligence, Data Science

●Awards: System Fellow, Outstanding Interdisciplinary Research, Academic Merit, Outstanding Teaching, Lynn Fellowship

Indian Institute of Technology Delhi New Delhi, India

Bachelor of Technology (GPA: 8.36/10.00) Aug 2017 – May 2021

●Relevant Courses: Linear Algebra, Probability & Statistics, Multivariate Calculus, Optimization Techniques, Econometrics

WORK EXPERIENCE

Purdue University, Dr. David J. Yu’s Lab West Lafayette, IN

Lead Researcher Aug 2021 – Present

●Constructed AI based knowledge graph of interactions to identify system network and interdependencies

●Performed Bayesian network analysis on policies to analyze probabilistic dependencies in decision making

●Built fine-tuned LLM, for context awareness and sensitivity aimed to cluster policies based on risk assessment

Bayer, Crop Science R&D Creve Coeur, MO

Applied Scientist Jan 2024 – Aug 2024

●Deployed on AWS, deep learning LSTM model with 92% accuracy for daily prediction of stream composition at manufacturing site using limited production dataset

●Collaborated with process engineers on site to fine tune live prediction model use in Environmental Operations

●Launched monitoring dashboard on Tableau for model drift detection, and integrated chatbot using RAG enabled LLM for enhancing data driven decision making

●Achieved annual cost-saving opportunity of $500,000 by preventing downtime & increase in production targets

●Presented at annual Bayer Innovation conference and received authors & innovators award, filing digital patent

Microsoft, The Data Mine Purdue West Lafayette, IN

Data Scientist Researcher Aug 2023 – Dec 2023

●Executed data mining API calls for collecting Minecraft social media user engagement data across 4 platforms

●Developed latent Dirichlet allocation ML algorithm for informal text, and emojis, to classify 1M+ user insights

●Engineered NLP data analysis for competitors, to capture player interactions & BERT sentimental analysis

●Calculated time-series sentiment score for Minecraft and competitors to optimize game development updates

Engineering Projects in Community Service (EPICS) West Lafayette, IN

Design Researcher Aug 2022 – Dec 2023

●Guided 50+ students on design sprints, team collaboration, communication, proactive leadership, effective delegation, and facilitated product design cycle resulting in witnessing 3+ teams delivering projects to clients

TU Delft, Dr. Saket Pande’s Lab Delft, Netherlands

Undergraduate Research Fellow May 2020 – Dec 2020

●Crafted python ML model to predict farmers' mounting debts with 90% accuracy using weather & yield dataset

●Administered SQL database at scale to automate live data collection queries to feed ML predictive model

●Conducted statistical analysis, reported data driven recommendations to enhance revenue up to 80% of target

Intellify, Ed-tech Start-up New Delhi, India

Product Manager Internship May 2018 – Jul 2018

●Evaluated exploratory and quantitative analysis of demand & sales data; communicated solutions to company leadership monthly by designing dashboards in Power BI

●Promoted pitch at competitions & funding rounds by raising over $10,000+ enabling platform to scale nationally

TECHNICAL SKILLS

Programming Language/ Framework: Python, SQL, R, MATLAB, PyTorch, TensorFlow, Sklearn, JAX

Software/ Tools: Power-BI, Tableau, Arc-GIS, Excel, SAS, STATA, Azure Data Bricks, Git-hub

PUBLICATIONS

●4 First-author conference articles, 2 First-author articles (In review EMNLP), 3 Collaboration journal article

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