Data Scientist Science

Prasenjeet Gadhe

Data Scientist with *+ YoE driving business impact via ML & Analytics, MS from CU Boulder. Boulder, CO ************@*****.*** 720-***-**** linkedin.com/in/prasenjeet-gadhe GitHub Tableau Public SUMMARY

Analytical, collaborative and results-driven data science professional with 3+ years of experience driving digital transformation in Manufacturing and Supply chain for Fortune 500 clients. Skilled in partnering with cross-functional teams to develop and deploy end- to-end AI/ML solutions that optimize operations and deliver measurable business impact. Proficient in Statistical Modeling, ML & NLP. SKILLS

Programming Python (Pandas, NumPy, Matplotlib), R (Tidyverse, ggplot), SQL (OracleSQL, MySQL), SAS, MATLAB, PySpark, C Framework TensorFlow, Keras, PyTorch, Scikit-learn (Classification, Regression, Clustering), Azure ML Studio, AWS SageMaker GenAI & NLP Large Language Models (GPTs, Llama), Transformers, BERT, Hugging Face, LangChain, Embeddings, VectorDB Cloud & Database Microsoft Azure (Azure ML, Azure Functions, Databricks), AWS (SageMaker, EC2, S3, Lambda, Redshift) Snowflake Tools & Platforms Tableau, Microsoft Power BI, Looker, Azure Synapse, Data Factory, AutoML, Airflow, Git, Docker, Kubernetes EXPERIENCE

Emerson Electric Boulder, CO

Data Scientist May 2023 – May 2024

Calibration Prediction Model

• Developed an ML model using Random Forest and XGBoost to predict equipment failure during manufacturing with 95% accuracy and a 0.9 F1 score, enabling early intervention and improving final quality control pass rates.

• Applied PCA and Lasso Regression for feature selection reducing a 280+ column dataset and improving model performance.

• Engineered ETL pipelines with PySpark in Azure Synapse to integrate 1M+ records from 4 data sources, ensuring scalability.

• Deployed model on Microsoft Azure using Docker & CI/CD, enhancing cross-platform integration, contributing to $2M revenue. Inventory Optimization

• Designed a safety stock prediction (regression) model using statistical techniques in Python on Azure Machine Learning platform to minimize stockouts and excess inventory, enhancing operational efficiency and reducing holding costs by 15%.

• Conducted A/B testing on inventory strategies, projecting a 20% reduction in overstock and a 10% improvement in turnover. GenAI Chatbot and AI Workshops

• Fine-tuned GPT-3.5 Turbo LLM with prompt engineering, embeddings and RAG for a custom new hire AI-chatbot.

• Facilitated 6 monthly ML workshops for 300+ employees to boost cross-functional AI collaboration & identify AI/ML use cases. University of Colorado Boulder Boulder, CO

Data Science Research Assistant Jan 2023 – May 2023

• Built R package combining ARIMA, Prophet, LSTM for auto time series forecasting with configurable model evaluation & selection.

• Created automated functions for tuning, testing models and selecting optimal predictor based on AICc, BIC, RMSE metrics - outputting parameter values, plots and comparative performance indicators to enable accurate deployments. Honeywell Pune, India

Data Analyst Aug 2019 – Jul 2022

• Utilized Honeywell Historian Analytics Platform to conduct Exploratory Data Analysis on process plant data (Oil and Gas, Life Sciences), identifying key trends and anomalies that reduced nuisance alarms by 90% and improved operational efficiency.

• Executed SQL CRUD operations on 800K row database, enhancing data modeling and warehousing to facilitate advanced analytics.

• Developed Tableau dashboards and BI reports, tracking KPIs to cut resource downtime by 20% and increase insight speed by 30%.

• Boosted project results via on-site collaborations in 3 countries, demonstrating global adaptability & cross-functional teamwork.

• Developed & tailored Operational Technology applications (DCS, PLC, SCADA) through full SDLC, enhancing operational efficiency.

• Led 4-person team, achieving 2% budget savings and on-time completion, earning "Going Beyond and Above Expectation" award. EDUCATION

University of Colorado Boulder, Boulder, CO Aug 2022 – May 2024 Master of Science in Data Science GPA: 3.97/4.0

Focused Coursework: Advanced Statistics, Deep Learning, Machine Learning, Data Mining, NLP, Big Data Architecture Vishwakarma Institute of Technology, Pune, India Jul 2015 - May 2019 Bachelor of Technology in Electrical and Computer Engineering GPA: 3.76 /4.0 PROJECTS

Stock Prediction using Time series Forecasting & Sentiment Analysis Jan 2024 – Apr 2024

• Developed a stock prediction model using ARIMA, RNN (LSTM) algorithms, integrating TensorFlow/Keras for deep learning and FinBERT for sentiment analysis. Improved accuracy through ensemble methods and showed the comparative results on PowerBI. Course Recommendation and Planner Platform Dec 2022 – Mar 2023

• Developed a GCP-hosted course recommendation platform using Named Entity Recognition for user intent analysis and a Sparse Similarity Matrix to match queries with relevant courses, enhancing personalized recommendations through user-friendly WebUI. Predicting Housing Prices with Regression Analysis Jan 2023 – Feb 2023

• Streamlined data pipeline creation and model optimization across linear, ridge, lasso, and random forest regressions, achieving R-squared of 0.9 and MSE of 900 through focused hyperparameter tuning and cross-validation for better prediction accuracy.

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