Recent MS in Computer Science graduate with expertise in machine learning and data mining. Skilled in analyzing large datasets, developing predictive models, and implementing data-driven solutions. Proficient in Python and SQL programming, with a strong foundation in statistical methods. Effective communicator and collaborative team player. Knowledgeable about popular machine learning frameworks and tools. Eager to contribute skills and enthusiasm to an entry-level data scientist position.
Automated various jobs for payroll, supply chain, and finance systems by using email adapters and service now integrated with the TIDAL batch monitoring system, Which reduced manual effort by more than 200 hours. These batch processes are then processed daily by using Excel pivots which achieved 20% time reduction and 10% more accuracy.
Worked on an internship project focused on Stock Market Analysis bu using Long Short-Term Memory (LSTM) for forecasting future stock prices of a company. Here we utilized Pandas for comprehensive data analysis and visually represented the projected prices
MACHINE Learning Certification
Web Development Certification