Researcher Data Scientist at UMass Lowell
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With 4 years of experience in data engineering, analytics, and machine learning, I specialize in transforming complex datasets into actionable insights that drive business growth. My expertise spans across building optimized data pipelines, developing machine learning models, and delivering impactful visualizations to support data-driven decision-making. Whether it's reducing inventory costs through advanced analytics, predicting customer churn with real-time anomaly detection, or optimizing business processes with ETL solutions, I thrive on using data to solve real-world problems.
I hold a Master's degree in Computer Science from the University of Massachusetts Lowell, with certifications from top institutions such as Google, IBM, and Cisco in Data Science, Machine Learning, and Business Intelligence. My technical toolkit includes SQL, Python, AWS, Tableau, Power BI, and more, enabling me to tackle diverse challenges in data modeling, data governance, and machine learning algorithm development.
Here’s a snapshot of what I bring to the table:
Machine Learning: Hands-on experience in developing predictive models and applying advanced algorithms like regression, neural networks, and anomaly detection.
Business Intelligence: Proficient in creating dynamic dashboards and reports using tools like Tableau, Power BI, and Excel to provide insights into sales, inventory, and user behaviors.
Cloud Platforms: Extensive use of AWS, Microsoft Azure, and BigQuery for data processing, storage, and deployment of machine learning solutions.
Cross-Functional Collaboration: Proven success in working with diverse teams to optimize processes and deliver data-driven insights that align with business goals.
I’m passionate about staying at the forefront of the data industry, continually learning and applying the latest technologies. If you're looking for someone who can bridge the gap between data and business, let’s connect!
Refer my resume for details
Refer my resume for details