DATA SCIENCE & ARTIFICIAL INTELLIGENCE

Tejasva Raje Deshmukh

Bridging the gap between complex big data pipelines and intelligent decision-making. Currently pursuing Master of Business Analytics and AI at UT Dallas.

EXPLORE

About Me

I am a highly driven Data Engineer and AI Practitioner with a solid foundation in Computer Science and an ongoing specialization in Business Analytics and Artificial Intelligence at The University of Texas at Dallas.

My experience spans designing scalable ETL pipelines with 1,100+ daily runs, building validation frameworks, and crafting predictive models. I thrive at translating high-dimensional raw datasets into clear, actionable business strategies.

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Analytics Excellence Scholarship

Awarded by UT Dallas for outstanding academic merit and potential in AI and data systems.

Master of Business Analytics & AI

The University of Texas at Dallas
Jan 2025 - Dec 2026

STEM-designated program focusing on advanced statistics, machine learning pipelines, cloud deployment, and business decision architectures.

Bachelor of Computer Science & Eng.

Vellore Institute of Technology
May 2019 - July 2023

Acquired core concepts in software engineering, database management systems, data structures, algorithms, and distributed computing.

Professional Experience

Data Engineer

LTIMindtree
Jan 2024 - Dec 2024 Noida, India
  • Developed and automated large-scale data pipelines supporting over 1,100+ daily runs using SQL and Azure cloud, improving pipeline throughput and reliability.
  • Designed and implemented custom validation frameworks and anomaly detection algorithms to identify system errors, ensuring high-quality, sanitized data streams for downstream AI models.
  • Translated complex data structures into analytical insights, presenting outcomes to business stakeholders to drive data-informed decision cycles.

Data Analyst Intern

LTIMindtree
Apr 2023 - July 2023 Mumbai, India
  • Reduced operational bottlenecks by design and execution of Fact and Dimension schemas utilizing SSIS and configuring Slowly Changing Dimensions (SCDs).
  • Co-created interactive Power BI dashboards powered by SSAS semantic modeling and DAX queries, improving promotional strategies for corporate partners.
  • Optimized enterprise workflows by streamlining SSMS integrations, ensuring end-to-end data governance and schema accuracy.

Academic Projects

Retail Sales Analytics & Demand Modeling
Scikit-learn Pandas NumPy ML Regression

Retail Sales Analytics & Demand Modeling

Engineered 54 predictive features from 167K+ rows of retail transactions. Developed and cross-validated statistical regression models (OLS, Lasso, Ridge, Elastic Net) to identify key sales drivers and mitigate a historical 30% decline in sales.

Explore Project
Flight Delay Prediction & Operational Optimization
Python Scikit-learn XGBoost Logistics/Aviation

Flight Delay Prediction & Optimization

Developed a two-stage operational pipeline (delay classification → duration regression) on ~1M flight records. Structured leakage-free temporal/route features from pre-departure data to optimize airline resource allocation and passenger notification schemes.

Explore Project
SecureAudit AI
FastAPI MCP Server Pydantic FinTech Security

SecureAudit AI

Engineered a Model Context Protocol (MCP) server for local, privacy-preserving compliance audits. Built duplicated invoice identifiers, SOC2 RBAC anomaly detectors, and regex-based PII scrubbing filters linked to metadata-only webhook alert triggers.

Explore Project
Workflow Learning Agent
Agentic AI Ollama / Llama3 FAISS Memory FastAPI

Workflow Learning Agent (Fileflow)

Created an autonomous local workflow mining agent that monitors file system events. Employs FAISS vector memories to map activities, LLMs (Ollama) to formulate script execution plans, and a sandbox runner with step-by-step human approval gates.

Explore Project
Recipe Recommendation RAG Assistant
RAG ChromaDB LangChain Streamlit UI

Recipe Recommendation RAG Assistant

Designed a chatbot pipeline that ingests, parses, and chunks recipe documents (PDF, DOCX, TXT) into ChromaDB. Integrates LangChain, conversation memory, OpenAI API, and semantic vector search to suggest custom recipes with full source attributions.

Explore Project
Pre-Mortem Failure Agent
React & Vite TypeScript FastAPI Risk Simulation

Pre-Mortem Failure Agent

Built a full-stack risk management app simulating potential project failures prior to kickoff. Tracks assumptions, task deadlines, and capacity overload to compute delay probability and scope creep metrics, presented via dynamic interactive charts.

Explore Project

Technical Arsenal

Languages & Core

Python SQL JavaScript/TypeScript HTML/CSS

Data & ML

pandas NumPy scikit-learn XGBoost statsmodels Feature engineering Classification Regression Model evaluation EDA Hypothesis testing

AI & Large Language Models

RAG Vector databases (ChromaDB, FAISS) Embeddings OpenAI API Ollama / local LLMs Agentic workflows MCP Prompt/context design

Backend & APIs

FastAPI REST Pydantic Webhooks SQLite

Frontend & UI

Streamlit React Vite Chart.js Plotly Dashboard design

Tools & Practices

Jupyter Git pytest Environment config Data leakage awareness Privacy-by-design Human-in-the-loop Documentation Group projects

Domain Exposure

Retail/CPG analytics Aviation/operations FinTech compliance Workflow automation Recipe/NLP Project risk management

AI & ML Workshops

Microsoft & CloudThat

AI4Students Workshop

October 2021

Acquired fundamental knowledge of cloud-based artificial intelligence. Understood Microsoft Azure AI Services, Azure Machine Learning Studio, and workflows for deploying predictive cloud models.

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TechLearn

How Google-DeepMind RL Works

July 2021

Explored the mechanics of Reinforcement Learning loops, agent-environment dynamics, Q-learning algorithms, Policy Gradients, and Deep Q-Networks (DQNs) used in state-of-the-art decision models.

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TechLearn

NASA Deep Learning Auto-Colorization

August 2021

Dived into Convolutional Neural Networks (CNNs), Autoencoders, and Generative Adversarial Networks (GANs) utilized by NASA to reconstruct and auto-colorize greyscale deep-space imagery.

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TechLearn

Netflix Recommendation Engines

July 2021

Studied recommendation system paradigms including collaborative filtering, matrix factorization, content-based matching algorithms, and real-time streaming pipelines driving user engagement.

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TechLearn

How Uber Saves Your Time

August 2021

Explored large-scale routing architectures, network graphs, spatial indexing, dynamic pricing structures, and real-time supply-demand prediction queues optimized for urban mobility.

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TechLearn

Instagram Facial Filters Mechanics

August 2021

Understood real-time computer vision pipelines, including Haar Cascades, dlib landmark keypoint tracking, and affine coordinate transformations for applying responsive 3D face mesh filters.

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TechLearn

Amazon Route Optimization

August 2021

Investigated solutions to the Traveling Salesperson Problem (TSP) utilizing Genetic Algorithms (GA) with custom crossover, mutation, and selection operators for optimizing logistics grids.

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Certifications & Credentials

Get In Touch

Let's Collaborate

Interested in optimizing data pipelines, building analytical models, or discussing research on generative AI frameworks? Drop a message.