About Me
With two years of experience as a Data Scientist and one year in software development and testing at Cognizant, I specialize in harnessing advanced analytics and machine learning methodologies to extract actionable insig…
With two years of experience as a Data Scientist and one year in software development and testing at Cognizant, I specialize in harnessing advanced analytics and machine learning methodologies to extract actionable insights. Renowned for my adeptness in swiftly resolving complex issues and my unwavering dedication to project objectives, I am currently taking a break from my career to pursue a Master's degree in Data Science in Germany, demonstrating my commitment to ongoing learning and professional development. I am passionate about delivering valuable data through analytical functions and data retrieval methods, and I am dedicated to assisting companies in developing strategic plans based on predictive modeling and findings
Experience
Software and Data Associate
<p>Successfully deployed a Machine Learning Model for Wafer Fault Detection, achieving an accuracy rate of 87% using Random Forest and XGBoost algorithms.<br>
Played a key role in a 9-member team, responsible for data aggregation, preparation, and deployment of various Machine Learning models.<br>
Collaborated closely with team leads to establish and maintain data modeling standards, ensuring consistency and reliability across projects.<br>
Conducted comprehensive testing and validation of multiple machine learning models to ensure accurate predictions, contributing to the delivery of robust solutions.<br>
Proficient in Data Science, with expertise in applying and deploying ML models on cloud platforms.<br>
Experienced in utilizing data analysis tools and techniques to derive actionable insights from large datasets.<br>
Skilled Windchill Java developer, proficient in creating and maintaining code to support data-related applications.<br>
Demonstrated expertise in software testing, ensuring the integrity and reliability of data-driven applications.<br>
Proficient in Agile methodologies for efficient project management and experienced in using Git for collaboration and code management.<br>
Familiarity with CI/CD pipelines for enhancing development efficiency and ensuring product quality.<br>
Proven track record of delivering high-quality data solutions within project deadlines.</p>
Data Analyst Intern
<p>Implemented a recommendation engine to deliver personalized music recommendations to customers based on their listening habits.<br>
Leveraged Collaborative Filtering and Market Basket Analysis techniques within the model, achieving an accuracy rate of 87%.<br>
Developed a Tableau dashboard to visualize and interpret test results, enabling thorough analysis and informed decision-making processes.</p>