Tejamanikanta Gudla
Available for new opportunities

Tejamanikanta
Gudla

Data Scientist

5+ years building ML pipelines, NLP systems, and generative AI applications in production. MS in Data Science (UNT, 2024) · Dallas, TX

Python PySpark Apache Airflow OpenAI API Databricks Azure
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Who I Am

I'm a Data Scientist & ML Engineer based in Dallas, TX building ML pipelines, NLP systems, and generative AI applications in production environments.

At Infosys, I productionized ML models for Airbus export control compliance as part of a 10-person engineering team, building 5 scalable data solutions used across Engineering, Procurement, Legal, Manufacturing, Logistics, and Customer Services.

At P2P Softtek, I built a natural language query interface using LLM-assisted parsing that lets non-technical users query structured data in plain English, plus ML pipelines across 8+ business units cutting manual processing by 35%.

I hold an MS in Data Science (GPA 3.91) from the University of North Texas (2024). On the tools side: Palantir Foundry, Python, SQL, Azure Databricks, Snowflake, Apache Airflow, Power BI, and HuggingFace Transformers.

Data Science ML Engineering Generative AI Palantir Foundry NLP Pipelines LLM Integration
5+
Years of Experience
10M+
Records Processed
40%
Query Performance Gains
3.91
MS GPA (UNT)

Technical Stack

Professional Journey

Data Analytical Engineer

P2P Softtek LLC · Dallas, TX
Jan 2025 – Present Current
  • Built a natural language query interface using LLM-assisted parsing (OpenAI API) to translate plain-language prompts into parameterized SQL queries for non-technical users
  • Designed semantic data models and curated datasets in Power BI and SQL for 8+ business units, reducing ad-hoc data requests by 35%
  • Defined and documented 20+ KPI metrics for a single trusted source of truth across business units
  • Configured Microsoft Dynamics 365 CRM workflows for business unit operations, building custom dashboards and data integrations that improved client data tracking and cut manual reporting effort
  • Built automated data quality monitoring workflows in Python and SQL, catching schema drift and anomalies before stakeholder delivery
  • Maintained CI/CD standards via Git and GitHub Actions for reliable, reproducible pipeline deployments
PythonSQLPower BIOpenAI APIGitHub ActionsDynamics 365DAX

Data Analytics & BI Engineer

Infosys · Client: Airbus · Hyderabad, India
Sep 2021 – Dec 2022
  • Productionized ML models for Airbus export control compliance, converting Jupyter notebooks into monitored Python pipelines within Palantir Foundry
  • Developed Python transforms in Foundry Code Repository for export control classification logic across 10M+ records
  • Built Quiver dashboards and Workshop interfaces used daily by global Airbus supply chain teams across Engineering, Procurement, Logistics, and Legal
  • Optimized T-SQL and PostgreSQL queries improving performance by 40% across critical reporting workloads
  • Introduced Git and Azure DevOps CI/CD standards, reducing deployment errors by 40%
Palantir FoundryPythonT-SQLPostgreSQLAzure DevOpsQuiverWorkshop

Data Analyst

MCR Web Solutions · Bhimavaram, India
Jan 2020 – Aug 2021
  • Built Python data pipelines for cleaning, transformation, and validation from REST APIs and CSV sources
  • Developed Power BI and Tableau dashboards tracking operational KPIs and data quality metrics
  • Automated recurring data processing workflows, reducing manual effort by 40%
PythonSQLPower BITableauREST APIs

Featured Work

Featured

Supply Chain Intelligence

Python · Data Engineering · Analytics

End-to-end supply chain analytics platform combining data engineering pipelines with ML-driven demand forecasting, supplier risk scoring, and executive KPI dashboards — delivering operational intelligence across enterprise workflows.

PythonPandasSQLML ForecastingETL Pipelines
View on GitHub

Machine Learning & Deep Learning

Jupyter Notebook · ML · BigData

Comprehensive collection of ML and deep learning implementations covering supervised/unsupervised learning, neural networks, big data processing, and end-to-end model pipelines with documented experiments.

Scikit-learnTensorFlowPyTorchPySparkJupyter
View on GitHub

Tableau Data Visualizations

Tableau · Data Storytelling · Dashboards

Portfolio of interactive Tableau dashboards showcasing data visualization expertise — including KPI tracking, trend analysis, and narrative-driven insights across business and operational datasets.

TableauData VisualizationPythonSQL
View on GitHub

Academic Background

Master of Science · GPA 3.91/4.00

Data Science

University of North Texas · Denton, TX

Jan 2023 – Dec 2024

Applied Machine Learning · NLP in Linguistics · Big Data Discovery · Data Visualization · Deep Learning · Cybersecurity Resilience · Statistical Modeling · Database Management

Bachelor of Technology

Information Technology

SRKR Engineering College · Andhra Pradesh, India

Jun 2017 – Aug 2021

Python · DBMS/SQL · Data Structures & Algorithms · Probability & Statistics · Software Engineering · Computer Networks · OOP

Let's Connect

I'm actively looking for new opportunities in data engineering, data science, and AI/ML. Whether you have a role, a project, or just want to talk data. I'd love to hear from you.