OKRs Automation Project

Created new OKRs for new integrations. Automated successfully more than 80 OKRs for 3 different products and for an entire mega unit. Interacted with APIs efficiently and used SQL and Python skills which resulted in reduced code execution time by 3x. It was achieved by optimizing and modularizing scripts. OKR - Objectives and Key Results, just like KPI

Fraud Detection Project

Created dashboard tailored to prevent and inform about fraud and money laundering activities. The scope of the project is 2 million users of the company. Implemented ETL data pipeline and created new objects in the datawarehouse. Successfully deployed Python and SQL scripts in Gitlab and set up cron jobs to automate the execution of scripts. The project successfully shipped in less than a week with prolonged iteration and can save potentially thousands of dollars and save 60-100 hours of manual work annually.

Bank Marketing Prediction

- Performed EDA to discover patterns, spot anomalies, and check assumptions with the help of summary statistics and graphical representations. - Applied a complete data science pipeline for a classification problem using various technologies and methodologies ( EDA, Data Wrangling, Modeling, Model Evaluation) - Implemented different machine learning algorithms (SVM, Logistic Regression, KNN, Random forest) and evaluated them against each other