Shanmukha Surya Sriteja Doddipatla
Certified Data Analyst & Engineer
Transform your data into competitive advantage. 4+ years of proven experience delivering 40% faster reporting, 95% data accuracy, and $100K+ cost savings through advanced analytics and automation.
๐ผ Professional Journey
Data Analyst
- 60% reduction in planning time through Flask web application with Google Calendar API integration
- 200+ monthly records analyzed from SQL Server identifying usage patterns for resource optimization
- 40% faster scheduling efficiency with real-time Power BI dashboards and KPI tracking
Data Analyst
- Complex client data synchronized through Azure Data Factory ETL flows for 500+ clients
- 40% time savings via PySpark/Databricks automation for 50GB+ daily dataset processing
- Daily & monthly insights delivered through Power BI dashboards supporting $2M+ budget decisions
Data Analyst Associate
- 10K+ education records processed monthly through Azure Data Factory ETL pipelines across 70+ centers
- 50% reduction in reporting time through Power BI dashboards with Power Automate integration
- 95% on-time delivery achieved through Agile workflows supporting $500K+ budget optimization
๐ ๏ธ Technical Arsenal
๐ป Data & Programming
๐ Visualization & BI
โ๏ธ Cloud & Big Data
๐ง Engineering & Automation
๐ Featured Projects
Aircraft Safety Prediction with Explainable AI
Built Bayesian Neural Network achieving 92% F1-score on 25K+ NTSB records. Used LIME/SHAP for explainable AI insights identifying top 10 aviation risk factors.
- 92% accuracy in accident severity prediction
- 25K+ records processed with advanced preprocessing
- Top 10 risk factors identified for actionable safety insights
Energy Consumption Forecasting System
Comprehensive forecasting platform with 90% accuracy using ARIMA, LSTM, and Prophet. Achieved 20% cost reduction through K-Means clustering optimization.
- 90% forecasting accuracy across multiple models
- 125K+ records segmented for cost optimization
- 35% faster data processing with real-time pipelines
Scalable Recommendation Engine
Large-scale recommendation system using Hadoop/Spark achieving 30% accuracy improvement. Optimized k-NN and ALS models serving 5K+ active users monthly.
- 30% accuracy boost across 10 product categories
- 5K+ users served with personalized recommendations
- Scalable architecture using big data technologies
๐ Education & Credentials
Master of Science in Data Science
๐ Professional Certifications
๐ Ready to Transform Your Data Strategy?
Let's discuss how I can drive measurable business impact through advanced analytics and automation