Data Engineer | Data Scientist | Data Analyst | Software Developer
- Python, SQL, C/C++, R, JavaScript
- MySQL, PostgreSQL, Redis, Neo4j, MongoDB, Athena, GraphQL
- Unix/Linux Scripting
- PySpark, Spark MLlib, SparkSQL
- Kafka, Airflow
- Tableau, Quicksight, Matplotlib
- PyTorch, TensorFlow, Keras, Scikit-Learn
- Regression (Logistic, Polynomial, Ridge/Lasso), Classification (XGBoost, Decision Tree, Random Forest), Clustering
- AWS (EC2, S3, Lambda), Docker, Kubernetes
- CI/CD Pipelines with Jenkins and Git
Syracuse University
Master of Science in Information Systems (CGPA: 3.7/4.0) – May 2024
Relevant Coursework: Database Management Systems, Cloud Management, Business Analytics
Usha Mittal Institute of Technology (UMIT)
Bachelor of Technology in Computer Science and Technology (CGPA: 3.6/4.0) – June 2021
Relevant Coursework: Data Structures, Big Data Analytics, Cloud Computing
- 🛠️ Developed and implemented ETL pipelines using Python to process client data daily, improving project delivery times by 25%.
- 📊 Engineered a data modeling solution to enhance data integrity and accessibility, leading to a 20% increase in customer satisfaction metrics.
- 🔗 Architected a project documentation system using SharePoint for collaboration among 9+ stakeholders.
- 📈 Designed BI dashboards in Tableau to track KPIs and increased customer reach by 22% within six months.
- 🔍 Conducted advanced analytics on 3 million trips using time series detection algorithms to boost ride frequency by 20%.
- 🚀 Applied Support Vector Machines with feature engineering to improve driver experience by 75%.
- 📱 Prototyped a scalable mobile app in Android Studio to reduce server costs by 30% and improve response times by 40%.
- ⚡ Built data pipelines for financial regulatory reporting systems to reduce error rates by 30% and enhance retrieval speed by 35%.
- 👥 Led a team of 20 in Agile practices to increase efficiency by 45% and productivity by 85%.
- ✅ Executed integration testing with Jira/Jenkins to enhance product quality while reducing downtime by 35%.
- 🏢 Architected a cloud-based system using AWS services for secure student data management.
- ⚙️ Automated manual tasks with AWS Lambda to save over 200 hours monthly.
- 🔒 Enhanced system stability with CloudWatch monitoring for a 50% reduction in issue resolution time.
- 🔄 Cleansed datasets and created relational databases using SQL joins (DML & DDL).
- 📊 Designed Tableau dashboards highlighting obesity trends across states for better decision-making.
‘Real-Time Automated Traffic Signal Controller’ – Published in the Journal of Emerging Technologies and Innovation Research (JETIR).
With a robust foundation in data analysis and software development, I have gained diverse experience across the data industry. My expertise spans implementing ETL pipelines and developing BI dashboards to applying advanced machine learning techniques and optimizing database performance. I am passionate about leveraging data-driven insights to solve complex business problems and drive strategic decision-making.
Feel free to connect for collaboration or opportunities in