Machine Learning Business Intelligence

SHRINIDHI KRPETE THIMMEGOWDA

517-***-**** • ********@***.*** • linkedin.com/in/shrinidhi-kt/ • github.com/shrini2603 Data Science Business Intelligence Data Engineering Decision Support Machine Learning PROFESSIONAL EXPERIENCE

CLIMATE SMART DECISION SYSTEM(CLIMDES) LAB REMOTE, US Research Assistant – ML 06/2024–PRESENT

• Developing RAG model for FeedSmart chatbot to generate feed insights and recommendations for farmers

• Experimenting vector embeddings and query-based retrieval to enhance recommendations for structured data retrieval, optimizing knowledge extraction and retrieval accuracy CAVALLO REMOTE, US

Data Scientist, Capstone 09/2024-12/2024

• Optimized time-series forecasting models, to predict key metrics such as Total Invoice and Dollar Value.

• Leveraged SARIMA for enhanced trend and seasonality insights through seasonal decomposition and outlier handling, while utilizing Prophet to effectively capture non-linear trends

• Conducted residual analysis and compared SARIMA and Prophet models, achieving a Test MAPE under 10%, and provided data-driven recommendations for forecasting strategies MSU RESEARCH FOUNDATION EAST LANSING, MI

Product Analyst, Intern 07/2024 – 09/2024

• Monitored and analyzed key customer acquisition metrics (Conversion Rates, Open Rates, Lead Quality) using Excel, driving data-driven adjustments

• Executed A/B testing on email marketing strategies, optimizing subject lines, content variations, and send times, which drove a 50% improvement in open rates KOCH BUSINESS SOLUTIONS BENGALURU, INDIA

Business Intelligence Developer 04/2021–12/2023

• Spearheaded a strategic initiative in partnership with Georgia Pacific LLC to implement an enterprise-level dashboard, enhancing data integrity and driving a 77% reduction in mean time to repair (MTTR)

• Led a team of four in developing an automated ETL pipeline in AWS for inbound electronic transmissions, leveraging data modeling best practices to ensure scalability, efficiency, and data integrity

• Collaborated with data science team to develop intuitive dashboards, visualizing results from demand forecasting models for enhanced business decision-making, Increased model adoption by 45% MU SIGMA BUSINESS SOLUTIONS PVT LTD BENGALURU, INDIA Decision Scientist 03/2018–04/2021

• Developed global HR dashboard in Power BI, incorporating ETL workflows, across multiple platforms, resulting in the most-used dashboard with over 1,000 daily visits

• Developed a tool for sentiment analysis of online users using Natural Language Processing techniques for Mars Inc, providing actionable insights to enhance decision-making and refine marketing strategies

• Designed machine learning solution for optimal product stocks using XGBoost forecasting and time series clustering using Walmart POS data, which reduced losses for seasonal product sales by 60% CORE SKILLS

Tools & Technologies: Tableau, Power BI, Excel, Quicksight, JIRA, Language (SQL, NoSQL Python, R), Git, Databricks Cloud & Database: AWS (S3, DynamoDB, Redshift, EC2, Lambda), Azure, SQL DB, Snowflake, ANALYTICS SKILLS: A/B Testing, Time Series Forecasting, Regression, Classification, Exploratory Data Analysis, Cluster Analysis, KPI Tracking, Machine Learning, LLM, Ad-Hoc Analysis, Technical Writing Stakeholder Management, RAG, Statistical Analysis (T-test, Chi-Square, Co-relation, ANOVA) Certifications: Microsoft PowerBI Data Analyst PL-300(2025), AWS Certified Cloud Practitioner, Atlassian Agile Project Management Professional, Change Management Professional by Linkedin EDUCATION

MICHIGAN STATE UNIVERSITY (BROAD COLLEGE OF BUSINESS) 01/2024–12/2024 Master of Science, Business Data Science and Analytics NATIONAL INSTITUTE OF ENGINEERING, MYSORE 08/2012–08/2016 Bachelor of Engineering, Electrical and Electronics ACADEMIC PROJECTS

Purchase to Pay: Cashflow Optimization:

Built a predictive model for Early Payment and Late Goods Receipt Detection using boosting enable technique to optimize the cash flow with real-time industry data from Deloitte Customer Churn Prediction Model:

Developed a customer churn prediction model using a Random Forest classification algorithm with Olist data to accurately predict churn and enhance customer retention strategies Sentiment Analysis with Fine-Tuned BERT Model:

Fine-tuned BERT, an advanced Large Language Model (LLM), on a dataset of 1,000 Amazon product reviews to classify sentiments with 92% validation accuracy

PROFESSIONAL AWARDS

Koch Business Solutions

Spot Award – Going above and beyond the roles and responsibilities to ensure the successful completion of the project 04/2023

Extra Miler– Creating values and helping Koch transform 09/2021 Mu-Sigma

Impact Award – For the success and expansion of the project by creating a trustworthy client relationship 12/2020 Spot Award – For solving a problem and delivering results 02/2020 Spot Award – For being a reliable member of the team with an attitude to overcome challenges 04/2019

Contact this candidate