๐Ÿ“Š
โœจ Available for Immediate Hire

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.

โšก
40%
Faster Reporting
Reduced reporting latency through automation & optimization
๐ŸŽฏ
95%
Data Accuracy
Improved data consistency via automated validation
๐Ÿ‘ฅ
50+
Stakeholders Impact
Decision-makers served with actionable insights
๐Ÿ†
5
Certifications
AWS, Microsoft & industry-recognized credentials

๐Ÿ’ผ Professional Journey

Data Analyst

UMBC Observatory
๐Ÿ“ Baltimore, MD
Oct 2024 โ€“ May 2025
  • 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

Accenture
๐Ÿ“ Pune, India
Sep 2022 โ€“ Aug 2023
  • 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

InquiLab NGO
๐Ÿ“ Hyderabad, India
Apr 2019 โ€“ Aug 2022
  • 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

๐Ÿ› ๏ธ Technical Arsenal

๐Ÿ’ป Data & Programming

Python SQL R SAS Pandas NumPy Scikit-Learn

๐Ÿ“Š Visualization & BI

Tableau Power BI Matplotlib Seaborn Plotly

โ˜๏ธ Cloud & Big Data

AWS Snowflake Hadoop Spark PySpark Redshift

๐Ÿ”ง Engineering & Automation

Airflow dbt Docker Alteryx CI/CD Terraform

๐Ÿš€ Featured Projects

Aircraft Safety Prediction with Explainable AI

Machine Learning

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
Python PyTorch LIME SHAP BNN

Energy Consumption Forecasting System

Time Series & BI

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
Tableau ARIMA LSTM Prophet K-Means

Scalable Recommendation Engine

Big Data

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
Hadoop Spark k-NN ALS Python

๐ŸŽ“ Education & Credentials

Master of Science in Data Science

University of Maryland, Baltimore County
๐Ÿ“ Baltimore, MD
2023 โ€“ 2025
Coursework:
Data Visualization Machine Learning Big Data Processing Data Management Predictive Analytics

๐Ÿ† Professional Certifications

๐Ÿฅ‡

AWS Data Engineer Associate

Amazon Web Services

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โ˜๏ธ

AWS Cloud Practitioner

Amazon Web Services

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๐Ÿ“Š

Power BI Data Analyst

Microsoft

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๐Ÿ“Š Skills Assessment

๐Ÿ“ˆ Career Growth

๐ŸŽฏ Impact Metrics