Vinit Bhanushali

About Vinit Bhanushali

Hi there! I\'m Vinit, a data enthusiast with a master\'s degree in Information Technology and Analytics. I am deeply committed to leveraging my passion for Data Science and Analytics to drive organizational success. I am motivated by the opportunity to contribute meaningfully to achieving organizational objectives through my skills, dedication, and strong work ethic. With a keen interest in the Python Programming Language and proficiency in SQL, I am well-equipped to navigate the dynamic landscape of data-driven solutions. My objective is to apply these technical proficiencies to uncover insights and foster innovation within an organization, facilitating both its growth and my professional development. Beyond my academic and professional pursuits, I find fulfillment in activities like playing soccer and dancing, which enhance my creativity, adaptability, and ability to approach challenges with a fresh perspective. I am eager to connect with like-minded professionals, explore new opportunities, and contribute my expertise to a team committed to advancing the boundaries of data analytics and technology. Programming Languages: SQL, Python, R, C#, JavaScript Visualization Tools: Tableau, Power BI, Advanced Excel Tools and Software: ER Studio, SQL Server Management Studio, Oracle SQL Developer, SQL Workbench, Jupyter Notebook, Netbeans, MS Excel, Sharepoint, MS Office, Github Databases: MySQL, SQL Server Operating Systems: Windows, Mac, Linux(Ubuntu)

Experience

1. Data Scientist

   Honeywell Technologies

   Jan 2025 — Present · NJ, US

   Organized development of advanced analytical solutions within Agile teams, aligning data science outputs with dynamic business goals and enhancing collaboration across departments.• Built and fine-tuned machine learning models such as Random Forest, Gradient Boosting, and KNN to support business forecasting, classification, and customer segmentation use cases.• Led comprehensive data analysis using Python (Pandas, NumPy, Seaborn), uncovering trends that contributed to a 15% increase in operational efficiency and supported executive-level strategic planning.• Deployed machine learning pipelines on AWS (EC2, S3, Lambda), reducing model deployment time by 40% and increasing system scalability to handle more concurrent users.• Considered and launched over 25 interactive Power BI dashboards, enabling real-time tracking of KPIs and resulting in a 30% improvement in data-driven decision-making across finance and operations teams.• Improved SQL query performance in MySQL and SQL Server by 35% over advanced indexing strategies and validation techniques, enhancing report generation speed and data accuracy.

Education

• University of Mumbai

  Bachelor of Engineering

  2017 — 2021

• Rutgers Business School

  Master's degree

  2023 — 2024