Enterprise Data Solutions Expert with 4+ years of proven experience architecting scalable data solutions that drive measurable business impact. Currently leading analytics initiatives at NAVCO Industries, where I've delivered 15% operational efficiency improvements and 40% reduction in data processing time through innovative ML pipelines and automated workflows.
| 🏗️ Data Architecture | 🤖 ML Engineering | 📈 Business Intelligence |
|---|---|---|
| ETL Pipelines | Fraud Detection | Real-time Dashboards |
| Cloud Infrastructure | Predictive Models | KPI Automation |
| Data Quality | MLOps & Deployment | Executive Reporting |
| 5TB+ Daily Processing | 95% Accuracy Rate | Cross-functional Insights |
🎯 Impact: AI-driven wellness and health optimization platform | 🛠️ Tech: Python, Machine Learning, Health Analytics
🎯 Impact: Advanced fraud detection with ML algorithms | 🛠️ Tech: Python, Scikit-learn, Data Analysis
🎯 Impact: AI-driven analytics for e-commerce optimization | 🛠️ Tech: Python, Data Analytics, Business Intelligence
🎯 Impact: Comprehensive retail analytics and insights | 🛠️ Tech: Data Analysis, Statistical Modeling
🎯 Impact: Environmental data analysis and visualization | 🛠️ Tech: Data Science, Environmental Analytics
🎯 Impact: Healthcare predictive analytics with 90% accuracy | 📅 Completed: November 2024
Key Achievements:
- 🎯 Mortality prediction model: 90% accuracy, 0.784 ROC AUC
- 🔄 Readmission risk prediction: 100% accuracy
- ⏱️ Length of stay model: 90% accuracy, 0.967 ROC AUC
- 📊 Integrated social determinants of health for comprehensive patient risk assessment
🛠️ Technologies: Python, Gradient Boosting, Random Forest, Logistic Regression, SQL 📊 Data: MIMIC-III (2001-2012), MIMIC-IV (2013-2019)
🎯 Impact: Stanford RNA 3D Folding Competition | 📈 Results: 0.855 mean TM-score
Key Achievements:
- 🏆 Achieved 100% success rate on 12 test sequences
- ⚡ Built O(n) K-mer indexing across 3,156 PDB structures
- 🔬 Advanced structural bioinformatics for RNA folding prediction
🛠️ Technologies: Python, BioPython, NumPy, SciPy, Pandas, USalign
🎯 Impact: Real-time ESG risk assessment and monitoring platform
Key Features:
- 📊 Interactive dashboards for real-time sustainability risk monitoring
- 🎯 Sector-specific risk analysis tools with custom metrics
- 🧠 Advanced sentiment analysis for news perception and trend detection
- 📈 Comprehensive ESG scoring and benchmarking
🛠️ Technologies: Streamlit, Pandas, NumPy, Plotly, NLTK, TextBlob
🎯 Impact: Multi-API news aggregation with NLP | 📊 Metrics: 92.4% content relevance
Key Features:
- 🔗 Integrated 2+ APIs (New York Times, Bing News) for comprehensive coverage
- 🧠 NLP-powered keyword extraction and topic clustering
- 📰 Processing 100+ daily trending topics with multimedia integration
- 🎨 Interactive D3.js visualizations for news exploration
🛠️ Technologies: Python, D3.js, NYT API, Bing News API, HTML/CSS, Bootstrap
| KPI | Achievement | Business Impact | Technical Details |
|---|---|---|---|
| 🚀 | Operational Efficiency | +15% improvement | Enterprise data solutions optimization |
| ⚡ | Data Processing Speed | -40% processing time | AWS Lambda & Python ETL pipelines |
| 📊 | Data Accuracy | +25% improvement | Comprehensive validation frameworks |
| 📉 | Reporting Cycles | -30% reduction | Automated workflows & dashboards |
| 💾 | Daily Data Processing | 5TB+ capability | Scalable cloud architectures |
| 🎯 | ML Model Accuracy | 95% fraud detection | Advanced ensemble methods |
| 🏥 | Clinical ML Models | 90-100% accuracy | Healthcare predictive analytics (MIMIC) |
| 📰 | Publications | 3 peer-reviewed papers | Finance AI, Medical AI, Deep Learning |
| 👥 | Team Development | 6+ analysts mentored | Leadership & knowledge transfer |
| 📈 | Cost Reduction | $150K+ annual savings | Process automation & optimization |
| 📦 | Inventory Optimization | -15% overstock reduction | Data-driven demand forecasting |
| 🔄 | Projects Delivered | 25+ repositories | Diverse portfolio across industries |
🎯 Clinical Data Analytics Coordinator | July 2025 - Present
- 🔬 Leading clinical data analytics initiatives for pharmaceutical research and development
- 📊 Coordinating data collection, cleaning, and preprocessing for healthcare analytics
- 🧬 Applying advanced statistical analysis and ML techniques to clinical research data
- 📈 Creating comprehensive data visualizations and analytical reports for stakeholders
🎯 Enterprise Data Solutions Analyst | February 2024 - Present
- 🔧 Engineered 10+ ETL pipelines using AWS Lambda and Python, processing 5TB+ daily data
- 📊 Automated 20 reporting workflows and developed 12 dynamic dashboards in Tableau and Power BI
- 🛡️ Implemented comprehensive data validation with 50+ test cases, ensuring 25% improvement in data accuracy
- 👥 Led cross-functional analytics teams overseeing data science, analytics, and engineering initiatives
- 📈 Delivered 15% operational efficiency improvements, 30% reduction in reporting cycles, and $150K+ annual cost savings
- 🎓 Mentored 6 junior analysts in best practices and technical development
📊 Data Analyst | March 2022 - May 2023
- 📈 Built comprehensive BI dashboards and KPI tracking systems for executive decision-making
- 🔍 Conducted advanced statistical analysis supporting strategic business decisions
- 📊 Analyzed large datasets identifying trends and improving operational efficiency by 20%
- 🤖 Implemented forecasting models reducing inventory costs by 8% and improving demand planning
- 🗄️ Designed and maintained SQL databases for enterprise data management
🔰 Junior Data Analyst | NAVCO Industries | October 2021 - February 2022
- 🐍 Performed exploratory data analysis using Python and SQL
- 📊 Created interactive Tableau dashboards for business insights
- 📈 Employed statistical modeling techniques for forecasting and trend analysis
🔰 Junior Data Analyst | VLHS Pvt Ltd | October 2020 - August 2021
- 🏭 Conducted comprehensive data analysis for medical-grade gloves manufacturing operations
- 📊 Improved operational efficiency by 10% through data-driven insights
- 📉 Created Tableau and Power BI visualizations reducing inventory overstock by 15%
📚 Data Analyst Intern | VLHS Pvt Ltd | August 2020 - September 2020
- 🤖 Automated quality assurance workflows using Python scripts
- 📊 Delivered weekly and monthly analytical reports to management
- 🔍 Performed data quality checks and validation procedures
Master of Science in Data Science | Saint Peter's University, New Jersey
GPA: 3.9/4.0 | Advanced Coursework: Big Data Analytics, Machine Learning, Predictive Analytics
Bachelor of Engineering in Computer Science | AVIT, India
GPA: 3.7/4.0 | Specialization: Mathematical Modeling, Business Intelligence
Technical Certifications:
- 🐍 HackerRank: SQL (Advanced), JavaScript (Intermediate), Python (Basic), Java (Basic)
- 📊 Google Analytics: Google Analytics for Beginners, Advanced Google Analytics
- ☁️ AWS: Cloud Practitioner, AI Cloud Practitioner
- 🔵 Microsoft: Azure Fundamentals, Azure Data Fundamentals, Azure AI Fundamentals
- 🏦 JPMorgan Chase: Excel Skills Job Simulation
- 📊 Tableau Desktop Specialist
- 🧬 CITI Program: Biomedical Researchers - Human Subjects Research, Public Health Researchers
1. Finance Trading Algorithms in High-Frequency Markets
- 📰 International Journal of Computer Technology and Electronics Communication (IJCTEC)
- 📅 September-October 2025 | Volume 8, Issue 5
- 🔬 Developed unified algorithmic trading system integrating predictive modeling, reinforcement learning, and real-time anomaly detection
- 🛠️ Technologies: Python, Reinforcement Learning, Time Series Analysis, Market Microstructure, Low-Latency Systems
2. Hybrid Deep Learning and Econometric Models for Financial Market Forecasting
- 📰 IRE Journals
- 📅 October 2025 | Volume 9, Issue 4
- 👥 Co-Author: Adarsh Pramodan Kandoth
- 🔬 Comprehensive review combining econometric methods with deep learning for market forecasting
- 🛠️ Technologies: LSTM Networks, CNN, ARIMA, GARCH Models, Deep Learning
3. Machine Learning Applications in Optic Nerve Head and Lamina Cribrosa Biomechanics
- 📰 International Journal of Applied Mathematics (IJAM)
- 📅 January 2026 | Volume 39, Issue 1s
- 👥 Co-Author: Siri Mandali
- 🔬 Systematic review and meta-analysis of AI/ML for glaucoma detection
- 🎯 Key Finding: Structural imaging models achieved pooled AUC approximately 0.96
- 🛠️ Technologies: ML, Deep Learning, Medical AI, OCT Imaging, Meta-Analysis
- 🏥 Healthcare Analytics Research - Research Assistant at Saint Peter's University
- 🌿 AI-Driven Sustainability Intelligence - Real-time ESG risk assessment platforms
- 🧠 Advanced NLP Applications - Interactive news retrieval and content discovery
- 💊 AI Wellness Planning - Personalized health optimization systems
- 🔄 MLOps & Model Deployment - Production-ready ML system architectures
- ☁️ Cloud-Native Analytics - Serverless data processing and analytics
- 🤖 Generative AI Integration - Business applications of LLMs and AI assistants
- 📊 Advanced Business Intelligence - Executive-level analytics and reporting
- 💻 Programming Instructor at Welugu (Python, R, Java, JavaScript, HTML/CSS, Mathematics)
- 💰 Treasurer - Saint Peter's University Data Science Club
- 👥 Team Leadership - Managing analytics teams and fostering data-driven culture
Research Assistant | Saint Peter's University | November 2024 - Present
- 🧪 Assisting with data collection, cleaning, and preprocessing for healthcare analytics research
- 📊 Applying statistical analysis and ML techniques to complex research datasets
- 📈 Creating data visualizations and comprehensive summary reports for research publications
- 🤝 Collaborating with faculty on cutting-edge healthcare analytics projects
Computer Programming & Mathematics Instructor | Welugu | December 2024 - Present
- 👨💻 Developing comprehensive curriculum for Python, R, Java, JavaScript, HTML/CSS
- 📚 Designing assignments, assessments, and hands-on projects for practical learning
- 🧮 Teaching advanced mathematics concepts with real-world applications
- 🎯 Providing personalized tutoring and mentorship to students of varying skill levels
Treasurer | Saint Peter's University Data Science Club | September 2024 - April 2025
- 💰 Overseeing budget allocation for workshops, events, and competitions
- 📊 Managing membership dues collection and funding applications
- 📈 Presenting periodic financial updates and ensuring fiscal transparency
- 🤝 Collaborating with executive board on strategic planning and resource allocation
Treasurer | Aarupadai Veedu Institute of Technology | July 2020 - September 2022
- 💼 Managed ₹50,000 annual budget with complete financial transparency
- 📊 Implemented digital tracking system improving efficiency by 30%
- 🎯 Coordinated 5 fundraising initiatives increasing available funds by 25%
- 📈 Maintained detailed financial records and compliance documentation
June 2025: 4 commits across 2 repositories - AI Wellness Planner development
May 2025: 11 contributions in private repositories - Advanced ML projects
March 2025: 19 contributions in private repositories - Data platform development
January 2025: Created Supermarket Sales Analysis - Retail analytics project
December 2024: 28 commits across 4 repositories - Multi-project development sprint
- 🔬 Enterprise Data Transformation projects and initiatives
- 🏥 Healthcare Analytics research and development
- 🌿 Sustainability Intelligence platforms and analytics
- 🚀 Open-source ML tools development and contribution
- 💊 AI-driven wellness solutions and health tech innovations
- 🏗️ Data Architecture & Engineering - Scalable pipeline design and implementation
- 🤖 Machine Learning Engineering - Production ML systems and MLOps
- 📈 Business Intelligence - Executive dashboards and strategic analytics
- ☁️ Cloud Analytics - Multi-cloud data solutions and optimization
