Data Engineer - Python, SQL, Cloud & Pipelines Expert

BODDUPALLI SWETHA

Mail: ***************@*****.*** LinkedIn: https://www.linkedin.com/in/swethaansh/

GitHub: https://github.com/Swetha2905-ansh

SUMMARY

Results-driven Data Analyst and Data Scientist with expertise in Python, machine learning, and cloud technologies. Experienced in developing AI- driven solutions and predictive models using LLMs, computer vision, and quantum techniques. Skilled in translating data into actionable insights and delivering real-world impact through analytical storytelling. EXPERIENCE

Data Science Trainee

Coreline Solutions Jun 2025 – Nov 2025

• Analyzed Ed-Tech data using Python and SQL, uncovering actionable trends and contributing data-driven insights to ongoing business initiatives at Coreline Solutions.

Machine Learning Trainee

Unified Mentor Sep 2024 – Mar 2025

• Built and deployed computer vision models using PyTorch and AWS Services.

• Implemented model optimization for performance and cost efficiency. Data Scientist Trainee

Med Tour Easy Aug 2024

• Developed healthcare ML models and deployed them on cloud for inference.

• Applied real-world healthcare datasets and performed statistical model tuning. Data Analyst Intern

Accenture Mar 2024 – Jul 2024

• Analyzed over 10M records and built real-time dashboards using Power BI.

• Delivered insights on IoT data streams for client automation projects. Data Science Intern

Boston Consulting Group (BCG) Dec 2023 – Feb 2024

• Developed churn prediction models using ensemble methods.

• Focused on data pipelines, cleaning, and deployment preparation. Assistant Professor

Vizag Institute of Engineering & Technology Jun 2019 – May 2021

• I taught Electrical Engineering courses and supervised student projects.

• Integrated data science and Python basics into engineering curriculum. Assistant Professor

Sai Ganapathi Engineering College Jul 2016 – May 2019

• Delivered courses in Electrical Machines, Power Systems, and Control Systems.

• Promoted project-based learning and real-world applications. PROJECT

Heart Disease Prediction

• Developed XG Boost and Random Forest models with over 90% accuracy.

• Performed feature engineering, model tuning, and performance optimization. Quantum Image Processing Project

• Engineered advanced quantum algorithms for image processing applications, enabling accelerated data analysis and improved computational accuracy in complex imaging tasks.

LLM Customer Support Chat Tutor

• Built an LLM-powered chat tutor to train customer support agents through realistic conversations.

• Automated query generation, evaluation, and response optimization using Python and Hugging Face models.

• Integrated continuous learning from chat logs to improve model feedback and accuracy. NCAA Basketball Tournament Prediction – Kaggle

• : Built ML models using team performance data; achieved 92% prediction accuracy.

• : Used Python, SQL, and Tableau for data processing and visualization. EDUCATION

Data Science & Machine Learning

IIT Kanpur & E&ICT; • 2023

M.E. - Power Systems & Automation

Andhra University • 2016

B. Tech – EEE

Lendi Institute of Engineering & Technology • 2012 AWARDS & HONORS

Kaggle March ML Mania 2025

• Top 10% finish.

SKILLS

Python, SQL, Git, REST APIs, Docker, Kubernetes

AWS, Google Cloud (Basic)

Deep Learning, Computer Vision, NLP, CNNs, Scikit-learn, TensorFlow, PyTorch Tableau, Power BI, Matplotlib

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