Data Analytics & AI Solutions Specialist

Mitra Coimbatore Prabakar

817-***-**** ***********************@*****.*** https://www.linkedin.com/in/mitra-coimbatore-prabakar-794587175/ Technical Skills

Languages/Programming: Python, SQL (Oracle), Unix Shell Scripting, C, C#, PySpark, HTML, CSS, PHP Tools/Frameworks: Power BI, Tableau, VS Code, PyCharm, Jupyter, Anaconda, Google Colab, Git, Streamlit, LangChain, OpenAI API, FastAPI, RAG, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Plotly, Agile/Scrum, Apache Spark, Informatica, Talend, SmartStream TLM, Autosys, Control-M, Quickrec, JIRA, ServiceNow, Excel Database/Cloud: Oracle SQL, Microsoft Fabric, Microsoft Azure, Hive, Kafka, Hadoop, Databricks Education

University of North Texas Denton, TX, USA

Master of Science in Data Science (MS-DS), STEM Jan 2025 – Dec 2026 Amrita University Coimbatore, TN, India

Bachelor of Technology in Electronics and Communication Engineering July 2016 – May 2020 Experience

Data Insights Analyst Intern Sep 2025 — Present

SEES Group—Client: USA Eye Hospitals—Project: Data Analytics and Engineering Remote, Tennessee, USA

• Built a HIPAA-compliant PHI analytics ecosystem in Microsoft Fabric with automated ingestion, transformation, and CI/CD deployments. Developed Power BI dashboards and Fabric semantic models supporting 50+ clinics.

• Standardized multi-hospital EHR sources into OMOP-CDM v5.4, improving interoperability and research reproducibility. Implemented PHI masking, schema validation, and data versioning for secure, auditable pipelines.

• Collaborated with network engineering team to integrate multiple medical devices to cloud/hospital networks, configuring data flows between SEES shared cloud and on-prem systems to enable real-time data transmission. Graduate Research Assistant May 2025 — Present

University Of North Texas—Dept: Data Science Denton, Texas, USA

• Mentored teams on LLM, Agentic AI, and RAG workflows, guiding Python-based implementation.

• Designed LangGraph agent pipelines for automated software engineering (planning code tests)

• Built a QWEN/GEMINI-powered real-estate chatbot with RAG for domain-aware retrieval. Data Science Solutions Developer Jun 2023 — Aug 2024 Smartstream Technologies—Client: Deutsche Bank—Project: Transaction Lifecycle Management Bangalore, KA, India

• Automated reconciliation dashboards using Tableau and Power BI, improving operational visibility.

• Built ETL workflows using TLM tools + Oracle SQL, ensuring accurate integration of financial datasets.

• Improved system performance by optimizing SQL, archiving legacy data and resolving production failures using Geneos while supporting audits (KPMG, EY, Deloitte) through rigorous data accuracy. Data Engineer - Reconciliation Specialist Oct 2020 — Jun 2023 Tata Consultancy Services—Client: Citi Bank—Project: GRU (Global Reconciliation Utility) Chennai, TN, India

• Built Apache Spark ETL pipelines for global financial reconciliations; automated workflows via Autosys, Quickrec.

• Boosted processing speed through optimized Oracle/Spark SQL while ensuring audit compliance, proactively managing workflow stability via Unix Tectia, and leading enterprise migration of legacy reconciliation systems. Project

1. GenAI Project - OpenAI in FinTech - Built a news research tool using Python, Langchain, OpenAI API, VectorDB, Streamlit for equity research analysts to conduct research based on vast amounts of financial data, reports. 2. Hardware Trojan Detection using Side-Channel Power Analysis and Machine Learning - Used machine learning(ML) techniques SVM, Random Forest, Na ıve Bayes Model for side-channel power analysis, Trojan detection. Certification and Publication

1. Microsoft PowerBI Certification -

https://learn.microsoft.com/en-us/users/mitracoimbatoreprabakar-9643/credentials/5bf8cfdf39199bd7 2. IEEE Publication - System Level Hardware Trojan Detection Using Side-Channel Power Analysis and ML https://ieeexplore.ieee.org/document/9137882

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