Riddhisha Chitwadgi

As a graduate student in Analytics at Northeastern University, I am passionate about applying machine intelligence to transform data into predictive models for enhanced decision-making. I have a strong background in data analysis, machine learning, and data visualization, with certifications in financial modeling, Excel to Tableau transition, and data visualization.

I have worked on various projects that demonstrate my skills and interests in data science. For instance, I investigated police enforcement in NYC, analyzed the NYPD arrests dataset, and identified factors influencing offense levels using R, Python, C, and C++. I also developed interactive dashboards and visualizations using Tableau and Python's Panel module for Elite Success Story, a platform that showcases inspiring stories of entrepreneurs. Additionally, I completed a project internship at Hindustan Aeronautics Ltd, where I managed audits and implemented Total Quality Management, improving equipment effectiveness by 25%. 

I am eager to collaborate, contribute, and connect with industry professionals who share my enthusiasm for research, data mining, and AI. I actively contribute to GitHub projects and seek opportunities to learn from and work with experts in the field. My goal is to leverage my analytical skills and domain knowledge to solve real-world problems and generate value for businesses and society.

During my internship at HAL Pvt. Ltd. from March to May 2022, I spearheaded the development and implementation of SQL scripts for data analysis, extracting actionable insights and influencing strategic decisions. Utilizing a Total Quality Management (TQM) approach, I led initiatives that resulted in a 25% performance boost for the database, aligning with the company's continuous improvement philosophy. Collaborating with cross-functional teams, I executed routine maintenance tasks, ensuring data integrity and contributing to the seamless functioning of the database system. My skills include TQM, SQL, and proficiency in cross-functional teamwork, reflecting my impactful contribution to optimizing database performance and supporting strategic decision-making.

I am a graduate student in Analytics at Northeastern University, driven by a passion for applying machine intelligence to transform data into predictive models for more informed decision-making. My skill set encompasses a strong background in data analysis, machine learning, and data visualization, complemented by certifications in financial modeling, Excel to Tableau transition, and data visualization.