About Me

Who Am I?

Hi, I'm Thanusri Aenugula. A Master of Science student at Texas A&M University, College Station and an aspiring Data Professional. I am an ambitious professional with a learner mindset and possess experience working cross-functionally in multinational teams. I bring value to the teams I work with via optimization and innovation while being mindful and inclusive.

I am Adept in various Data Science technologies. Committed to utilizing my skills to further the mission of your organization. I am amalgamation of both geeky and a practical implementer. I Aspire to work further in the field of Data Science & Python.

Cinque Terre
MY EXPERTISE

WHAT I DO?

Generative AI & Data Science Skillset

Generative AI Development | Large Language Models (LLMs) | Agentic AI Systems | AI Prompt Engineering | Retrieval-Augmented Generation (RAG) | Fine-tuning & Model Optimization

Machine Learning | Deep Learning | NLP (Text Classification, Summarization, Sentiment Analysis) | Data Preprocessing & Feature Engineering | Statistical Analysis | Experimentation & Evaluation Metrics | Model Deployment

Data Analytics and Dashboarding

SQL | Tableau | Power BI | Microsoft Excel | Data Visualization | A/B Testing | Hypothesis Testing | SPSS

Data Manipulation | Python Data Visualization Libraries : NumPy, Pandas, Matplotlib, SeaBorn

Interpersonal Skills

Effective Communication | Stakeholder Management | Collaboration | Problem-solving | Design Thinking | Resilience

Negotiation | Time and Task Management | Presentation Skills

TESTIMONIALS

What’s it like to work with me?

“Thanusri, Highly Aspiring, Commitment Oriented, Keep Improving Attitude & Kindful. Displayed her patience and persistence in preparing the base table by constantly working with test engineers. Her efforts to understand more and improving the sanity level constantly is much appreciated. Although coming from non automotive background, she rapidly learnt the basics and correlated in the ML model. When questions arose, she didn’t just accept the status quo—she asked probing, thoughtful questions, seeking clarity from first principles. Inquiry to the core. Very sincere in completing the model well ahead of timeline. Throughout review cycles, she responded to feedback promptly and diligently, demonstrating a strong sense of ownership and commitment to quality. Her communication skills are excellent, explaining complex concepts in simple understandable manner. She is kind, grounded and approachable. Privilege working with Thanusri. I am confident she will continue to excel.”

— Hari Krishnan, Manager, Daimler Truck

“ Thanusri is an ardent learner, with a great attitude and wide perspective. During her internship at Daimler Truck, she not only exhibited her proficiency in her core domain, but also cross learnt vehicle systems and connected the dots efficiently. It was pleasure to work with her!”

— Dhik Vijay, Team Lead, Daimler Truck

“ I had the opportunity to work with Thanusri in the same group at the Advanced Vision & Learning Lab at Texas A&M University. During that time, I found her to be punctual, hardworking, and respectful in the group environment. She showed a positive attitude toward her work and was willing to contribute to assigned tasks. Thanusri is also a kind and professional person to work with, and I believe these qualities will support her in future academic and professional opportunities.”

— Fahimeh Orvati Nia, Doctor of Philosophy, Computer Engineering, Texas A&M University
Work Experience

How have I made an impact?

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H-E-B
Decision Science Analyst Intern
May 2026 - Present

  • Decision Science Analyst Intern within the Data Science Center of Excellence (DSCOE), collaborating with the Data & AI team and learning from incredible mentors.
  • I am contributing to project focused on personalization, predictive analytics, and customer experience optimization.
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Texas A&M University, Advanced Vision and Learning Lab
Graduate Student Technician
Jan 2026 - May 2026

  • Worked as a graduate student technician on a research project titled Multimodal, Multitask Data Analysis for Automated Plant Phenotyping.
  • Established centralized data pipelines to integrate 3+ modalities and analyze data for automated phenotyping across multiple tasks.
  • Supported analysis of 5+ plant growth traits using AI and statistical modeling techniques enabling automated phenotyping.
  • Implemented model evaluation and cross-validation frameworks to ensure trait prediction performance across diverse plant conditions.
  • Collaborated with AgriLife plant research teams to translate phenotyping insights into actionable research decisions and experiments.
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Daimler India Commercial Vehicles (BharatBenz)
AI/ML Intern
Jan 2025 - Jun 2025

  • Developed predictive machine learning models for vehicle performance analysis within the Data-Driven Engineering platform, delivering decision-support tools used by multiple cross-functional engineering teams.
  • Enhanced 5+ vehicle testing workflows by integrating predictive analytics and ML models into existing data pipelines, increasing testing throughput and reducing time-to-insight for engineering stakeholders.
  • Constructed a statistical digital twin for Dynamic Brake Testing using historical data from 100+ vehicles, enhancing predictive accuracy and enabling robust pre-screening of performance benchmarks.
  • Deployed an ML pre-screening solution enabling validation of vehicle performance parameters prior to physical trials, reducing overall testing time by 80% and significantly lowering resource overhead.
  • Built ETL pipelines in Azure Databricks and examined telematics and Dealer Management System (DMS) data using Python, SQL, and PySpark to extract insights supporting fleet optimization and operational efficiency initiatives.
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Shrimitha Energy Solutions Pvt Limited
Data Science Intern
Sept 2024 - Nov 2024

  • Formulated hybrid deep learning models CNN-LSTM-XGBoost to predict lithium-ion battery Remaining Useful Life and State of Charge, achieving an R 2 of 0.97 and enabling high-accuracy predictive maintenance.
  • Processed degradation feature-extraction for performance data from 38+ lithium-ion batteries, supporting early fault detection and reducing fault-identification time for maintenance scheduling.
  • Established end-to-end battery health monitoring pipelines integrating predictive RUL models with operational systems, reducing unplanned equipment downtime and improving maintenance planning accuracy.
  • Produced interactive Power BI dashboards visualizing real-time battery degradation trends, capacity fade curves, and health KPIs, enabling data-driven maintenance decisions for field operations.
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Defense Research Development Organisation
Data Science Intern
Jul 2023 - Aug 2023

  • Conducted in-depth literature survey and technical analysis on Hybrid Electric Vehicle Technologies to identify innovation trends and performance metrics.
  • Applied data collection, preprocessing, and analytical techniques to synthesize insights from diverse engineering and research sources.
  • Collaborated with a multidisciplinary team under Defence Research & Development Organisation (DRDO) to align research outcomes with industry and government objectives.
  • Presented the literature survey to Scientist 'F' - Selvathaai at the Combat Vehicles Research and Development Establishment (CVRDE) on the Hybrid Electric Vehicle Technologies.
Education

where am i building my foundation?

I am currently pursuing a Master of Science in Data Science (MSDS) at Texas A&M University, College Station, Texas, USA. My graduate studies have strengthened my foundation in machine learning, artificial intelligence, statistical modeling, and large-scale data analytics while providing opportunities to apply these concepts to real-world business problems.
Courses: Mathematical Foundations for Data Science, Statistical Foundations for Data Science, Data Mining and Analysis, Databases and Computational Tools Used in Big Data, Applied Analytics, Parallel Computing, Machine Learning Engineering

  • GPA : 3.85/4
  • Worked as a Graduate Student Technician in the Advanced Vision and Learning Lab, contributing to a research project on Multimodal, Multitask Data Analysis for Automated Plant Phenotyping
  • I am currently working as a Decision Science Analyst Intern at H-E-B within the Data Science Center of Excellence (DSCOE), where I contribute to data-driven solutions in the retail domain.

I have completed my Bachelor of Engineering in Electrical and Electronics Engineering from Sri Sivasubramaniya Nadar College Engineering, Chennai, India. During my undergrad, I participated in cultural fests, hackathons, and clubs to explore my interests. I also worked on multiple projects and undertook internships to widen my technical skillset. Undergrad was a challenging yet exciting phase of my life and taught me to be independent and self-sufficient!
Courses: Data Structures, Probability and Statistics, Introduction to Data Science, Machine Learning, Artificial Intelligence

  • GPA : 8.72/10
  • Actively contributed to the DATABUZZ community by engaging in advanced workshops and collaborations, expanding expertise in data analytics and project management.
  • Coordinated alumni engagement for a 600+ attendee tribute event, strengthening the SSN network and elevating event execution standards through strategic planning and relationship-building.
  • I volunteered and managed technical events at INVENTE a technical fest of SSN.
  • I was a part of the Build Club of India, SSN. Engineered innovative turns ideas into real-world prototypes through hands-on hardware and IoT projects.
  • I Secured first position in the regional-level singing competition and represented at the national-level.

I have completed the PG Program in Data Science and Business Analytics from the University of Texas at Austin. The program focused on advanced data analytics, business strategy, and hands-on projects using industry datasets.
Courses: SQL, Predictive Modeling, Data Visualization, Time Series Forecasting, Marketing and Retail Analytics, Financial and Risk Analytics.

Certifications

Achievements & Certifications


Passion beyond the desk

What Keeps Me Energized?

Get in Touch

Let’s start a conversation!!

College Station, TX