Nilambari Bansode

Background

About Nilambari Bansode

A Master's graduate in Business Analytics from The University of Texas at Arlington, who is passionate about applying data science and machine learning to solve real-world problems and create value for businesses. I have a strong academic background, with a bachelor's degree in computer science engineering and a perfect GPA of 4.0/4.0 in my master's program, where I specialize in data science and machine learning. I have also gained valuable professional experience as a data scientist intern at CHRISTUS Health and a senior data analyst and developer at _VOIS. At CHRISTUS Health, I successfully implemented a software automation system that streamlined HR processes, improved the user experience of the Supplier Portal website, and analyzed large datasets using TSQL and machine learning algorithms. At _VOIS, I collaborated with international stakeholders, managed databases using MySQL, and derived insights to address critical business issues. I have been recognized with the "Vodafone Star" award three times for my proactive attitude, time-efficient task completion, quick learning, and independent work. I am proficient in various data analysis and visualization tools, such as Python, SQL, Power BI, and Tableau, and I have obtained multiple certifications from LinkedIn Learning to enhance my skills. I am a result-oriented team player who thrives on surpassing client expectations and driving data-driven success. Programming Languages: Python | Java | C, C++| R. Web Technology: HTML & CSS | JavaScript | JSON | jQuery | XML Tools and Frameworks: Oracle | Putty | MS Office | Tableau | JIRA | Rapid Miner | Power BI | Kafka | TensorFlow | SAS Data Mining & Data Warehousing: Math and Statistics | A/B testing | Google Collab | Machine learning, Web Scraping, Time Series Analysis and Forecasting, Amazon Redshift, Snowflake, Google Big Query, Hadoop, Spark, Hive, Agile Methodology | ETL | PyTorch | Scikit learn Database: MS MySQL | NoSQL | MongoDB Soft Skills: Decision Making, Problem-Solving, Leadership, Risk Management, Project Management, Proactiveness, Data Storytelling