Data Scientist Operations Manager

Prashant Trivedi

Chicago Open to Relocate +1-872-***-**** ******************@*****.*** LinkedIn GitHub Summary

Results-driven Data Scientist with4+years of experience developing production-gradeMLmodelsanddatapipelinestodriveproduct innovation and operational efficiency. Proficient in Python, SQL, and AWS, Azure, GCP with a strong foundation in experiment design, statistical analysis, and stakeholder collaboration. Proven ability to translate complex data into actionable insights for product, engineering, and business teams.

Projects

Customer Segmentation Using Unsupervised Learning 2025

• Analyzed 50K+ customer records to uncover four actionable segments using K-Means and Hierarchical Clustering

• Applied PCA for dimensionality reduction and visualized clusters, identifying a 32% high-LTV customer segment

• Boosted email open rates by 14%& click-throughratesby 2x, alignedwithindustrybenchmarksforsegmentation-driven campaigns LLM-Based Competitive Intelligence Dashboard for Market Trend Analysis 2025

• Built a data pipeline using LangChain and Groq API to extract insights from 500+ earnings calls, news articles and Reddit threads

• Generated executive summaries and SWOT-style breakdowns, reducing manual market research time by 60-70%

• Enabled deep company profiling via Streamlit UI, surfacing sentiment, strategy, and market signals for target firms Work Experience

DePaul iD Lab Feb 2024 – Present

Data Scientist Operations Manager Chicago, IL

• Designed an intelligent automation tool using Retrieval-Augmented Generation (RAG), streamlining customer support by accu- rately identifying inquiries, questions, and recipients from email datasets.

• Elevated classification accuracy to 92% through advanced prompting strategies like Chain of Thought and Self-consistency, com- bined with fine-tuned hyperparameters.

• Implemented scalable cloud workflows by integrating Azure with GPT-4o and human-in-the-loop validation for complex cases.

• Orchestrated AI-powered workflows for data retrieval across multi-source datasets, reducing processing time significantly.

• Led a team of 5 redesigning Power BI dashboards for a major client, increasing end-user engagement by 30% through improved design, interactivity, and data clarity.

• Boosted dashboard usability and business adoption by aligning data modeling efforts with stakeholder workflows, resulting in streamlined insights and faster decision-making.

• Spearheaded operations for a 20-member team and hosted a high-impact event with 200+ attendees including top CIOs. DePaul University Jan 2024 – Present

Research Assitant Chicago, IL

• Developed a PyTorch-based Grad-CAM framework to assess explanation consistency in CNNmodelsacross20+experiments using MNIST and LIDC datasets.

• Quantified label noise effects using ESS, showing 3 higher stability with high-agreement labels

• Found that training on high-agreement labels consistently yields more stable and generalizable explanations across noisy test sets. SunDao Network Jul 2024 – Nov 2024

Data Scientist Remote

• Processed and structured unorganized data for building LLM-powered chatbots tailored to document-specific queries

• Built a RAG-enabled chatbot using Watsonx.ai and LLMs, improving operational response efficiency by 30

• Integrated LLaMA and Streamlit with FAISS to accelerate document retrieval and improve answer precision

• Applied advanced prompt engineering, including Chain of Thought prompting, to boost contextual accuracy by 25%, collaborating with domain experts to ensure alignment with industry needs. Komal Industrial Products May 2023 – Aug 2023

Software Engineer Surat, India

• Developed an image classification model with 83% accuracy for textile machine parts using OpenCV and ML

• Built and deployed a responsive website that expanded online visibility and increased customer engagement

• Automated part identification workflows to reduce support turnaround time Hema Automation Feb 2023 – Apr 2023

Software Engineer Surat, India

• Engineered a PLC monitoring web app using Modbus-Serial and Modbus-TCP, enhancing remote diagnostics

• Analyzed time-series machine logs to predict errors, reducing engineer travel by 20 hours/month

• Designed custom visualizations for fault detection, enabling preventive maintenance Tata Consultancy Services Nov 2020 – Dec 2022

System Engineer Remote, India

• Automated Azure AD and Exchange administrative tasks using PowerShell, boosting task efficiency by 97%

• Collaborated on Agile sprint planning and retrospectives to streamline project delivery and client communication

• Created standardized workflows for customer segmentation, improving data accessibility for downstream teams

• Trained and onboarded 50+ associates on MS Teams and enterprise tools, reducing support requests 1

CareerNaksha Jul 2019 – Dec 2019

Software Engineer Surat, India

• Built and optimized CRUD web modules, improving backend performance and UI responsiveness

• Maintained & optimized the website using AngularJS for frontend & Node.js for backend, improving responsiveness and reliability

• Reduced load times by 19% through CDN integration and caching strategies Skills

• Programming Languages: Python (NumPy, Pandas, Hugging Face), R, SQL, Bash, JavaScript, Java, C, C++, NoSQL, PySpark

• Machine Learning&AI: Supervised/UnsupervisedLearning, Deep Learning, NLP, Computer Vision, Model Deployment, Feature Engineering, LLMs, Recommendation Systems, Langchain, Gen AI, RAG, XGBoost

• Statistical Analysis: Hypothesis Testing, Regression Analysis, Time Series Forecasting, A/B Testing, Experimental Design

• Data Engineering: Data Wrangling, ETL Pipelines, Data Modeling, Data Warehousing, Spark, Hadoop, PySpark, Kafka, Yarn

• Cloud Platforms: AWS (S3, Lambda, SageMaker), Azure (Functions, Blob), GCP

• Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, Plotly, ggplot2

• Tools & Frameworks: Git, Docker, Kubernetes, Airflow, MLflow, Jupyter, Streamlit

• Soft Skills: Problem-Solving, Communication, Collaboration, Continuous Learning, Critical Thinking Leadership & Volunteering

Co-shish 2021

Founder Remote (India)

• Led a 15-member volunteer team to build a no-code app connecting thousands to COVID-19 relief resources

• Focused on critical aid delivery (oxygen, food, ambulance), & supporting 1000+ people during India’s second COVID-19 wave Toastmasters International (TCS Be@T Club) 2020 – 2022 Vice President Education Gandhinagar, India

• Organized and managed 50+ meetings, mentoring members to achieve communication and leadership goals

• Recognized with awards including Toastmaster of the Tenure and Rising Leader for excellence in club engagement DePaul Data Science Club 2024 – Present

Treasurer Chicago, IL

• Managed club finances and budgets for events and hosted a hackathon with 60+ participants

• Hosted workshops with guest speakers from top firms, fostering peer learning in data science and ML Education

DePaul University 2023 – 2025

Master of Science in Data Science, GPA: 3.9 Chicago, IL Parul University 2016 – 2020

Bachelor of Technology in Computer Science, GPA: 3.57 Vadodara, India 2

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