Sridatta Brahmeswarapu
Transforming complex data into actionable insights with 2+ years of experience at Accenture
Professional Summary
Analytical and detail-oriented Data Analyst and Machine Learning Engineer with 2+ years of professional experience at Accenture and a strong academic foundation (M.S. in Computer Science, GPA 3.55). Passionate about building and fine-tuning AI, Agentic AI, and ML systems that solve real-world problems. Skilled in transforming complex data into actionable insights, automating data workflows, and deploying end-to-end ML pipelines. Proficient in Python, SQL, TensorFlow, PyTorch, AWS, and visualization tools. Deeply interested in AI-driven innovation, fine-tuning, and creating scalable intelligent solutions that bring AI into every domain.
Experience
- Designed and implemented predictive models using Random Forest, Naive Bayes, and SVM, improving forecasting accuracy by 30%.
- Optimized TensorFlow/PyTorch models using XLA and TVM, reducing inference time by 40%.
- Built automated ETL pipelines for 10M+ records across multiple data sources, ensuring 99.9% data integrity.
- Collaborated with data engineers and business analysts to design real-time Power BI dashboards, improving decision speed by 25%.
- Developed Python-based automation scripts for client reporting, reducing manual workload by 15+ hours weekly.
Projects
- Developed an Agentic AI-powered SQL automation system capable of autonomously generating, validating, and managing relational databases through intelligent agents.
- The system analyzes schema dependencies, auto-generates queries for CREATE, INSERT, SELECT, DELETE, and UPDATE operations, and ensures data consistency for 100K+ records across diverse datasets.
- Designed a Flask-based GUI and CLI interface that dynamically validates relational schemas.
- Integrated PostgreSQL APIs for large-scale data loading, achieving a 90% reduction in database setup time.
- Implemented data profiling and validation modules ensuring schema consistency across multi-table datasets.
- Designed a pipeline that scrapes, cleans, and processes 10K+ news articles for sentiment analysis and entity extraction.
- Trained LSTM and BERT-based models for time-series forecasting, achieving 85% accuracy.
- Built visualization dashboards in Plotly to display operator entry/exit probability trends in real time.
- Deployed model via REST API for integration into business dashboards, reducing manual market analysis time by 70%.
Education
Technical Skills
Programming
Machine Learning & AI
Data Engineering
Web Development
Databases & Tools
Certifications & Leadership
- AI Workshop – IIIT Hyderabad
- Python Data Structures – University of Michigan (Coursera)
- Machine Learning – University of London
- Treasurer, UCO Badminton Club (140+ members)
- Winner – Cricket Championship & TECHTRIX 2K18 Paper Presentation
Get In Touch
I'm always open to discussing new opportunities, collaborations, or data science projects. Feel free to reach out!