Skills & Projects
Overview
Core Skills 🛠️
- Python: Expertise in scripting, automation, and machine learning model development.
- SQL: Proficient in writing efficient queries and handling large datasets with over 10M records.
- Git: Version control management for collaborative projects across teams.
- AWS: Deployed scalable machine learning models using AWS services.
- Tableau: Built dashboards for data visualization and business insights for over 50 clients.
- Advanced Excel: Applied data analysis techniques with pivot tables and macros.
- NoSQL (MongoDB,Cassandra,MapReduce): Hands-on experience with large data processing systems.
- Airflow, Spark,Kafka: Managed large-scale data pipelines and workflows.
- A/B Testing: Conducted tests to optimize product features and user engagement.
- Machine Learning: Experience with Random Forest, XGBoost, KMeans, and regression models.
- Project Management: Led Agile-based project execution to improve delivery times by 50%.
Key Projects 🚀
- Quarterly Benchmark Analysis (Bounteous India): Conducted quarterly benchmark analysis and business value reports for 50+ clients using advanced Excel and ANOVA testing, leading to a 15% performance improvement and enhancing client retention by 20%.
- Python Automation (Bounteous India): Led automation initiatives with Python, reducing statistical analysis processing time by 50% and improving decision-making accuracy by delivering insights through Tableau dashboards.
- Loan Risk Analysis (Applied Data Finance): Analyzed bad rates across risk tiers using regression analysis and A/B testing, reducing risk by 30% and optimizing loan offers for over 1000 credit customers through underwriting adjustments.
- Fraud Detection System (Applied Data Finance): Developed a fraud detection algorithm using Random Forest, improving recall by 10%, and reducing fraudulent transactions by 15% across 10,000+ accounts.
- Tax and Treasury Application Support (Cognizant): Managed tax and treasury application support for Walmart, handling 1,000+ financial transactions and SQL management of databases with 10M+ records.
Project Table 📋
Project Overview
| Project Name | Description | Impact |
|---|---|---|
| Python Automation | Reduced processing time by 50% using Python, increasing decision-making efficiency. | High Impact 💡 |
| Personal Project: NYC Taxi Demand Prediction | Developed a machine learning model to predict taxi demand, improving prediction accuracy by 15%. | Moderate Impact 🚕 |
| Loan Risk Analysis | Decreased loan risk by 30% with optimized underwriting. | Moderate Impact 📈 |
| Fraud Detection System | Improved fraud detection recall by 10%, reducing fraudulent activity. | High Impact 🔒 |
| Personal Project: Microsoft Malware Detection | Created a machine learning model to enhance malware detection accuracy, boosting system security. | Moderate Impact 🔐 |
| Quarterly Benchmark Analysis | Enhanced client retention by 20% with performance improvement for 50+ clients using Excel and ANOVA. | High Impact ⚡ |
| Tax and Treasury Support | Managed 1,000+ transactions, ensuring seamless treasury operations. | High Impact 💼 |
| Continual Innovation 🔄 | ||
Inspiration 💡
"Data is a precious thing and will last longer than the systems themselves." - Tim Berners-Lee