Key accomplishments

As a Data Scientist with over 3 years of experience, I’ve achieved significant accomplishments in leveraging data analysis and machine learning to solve complex business problems. During my tenure at Freddie Mac, I collaborated with cross-functional teams to enhance predictive accuracy by 15%, deploying machine learning models such as Linear Regression, Logistic Regression, and Random Forests. I brought innovation to the table by conceptualizing Natural Language Processing techniques for extracting insights from unstructured text data. My proficiency extends to statistical testing methodologies, where I implemented A/B testing and Hypothesis testing to validate hypotheses and make informed, data-driven decisions. I showcased expertise in efficient data retrieval and manipulation using advanced SQL queries and generated end-to-end machine learning pipelines using Python, along with leveraging cloud platforms like AWS, Azure, or Google Cloud for scalable and cost-effective storage solutions. At Wipro Ltd, I streamlined delivery rates and utilized Snowflake for data analysis, while at Hexaware Technologies, I overhauled ETL workflows, improving efficiency and data accuracy. Designing interactive Tableau dashboards for visual communication further highlights my comprehensive skill set in data science. I hold a Master of Science in Data Science from Northeastern University and certifications in Neural Networks and Deep Learning, as well as an AWS Developer Associate.

Role 1
Data scientist
Role 2
Machine learning engineer
Test Score
AI, Machine learning, Data Science
100%
Unspecified
full-time 40-hours-per-week
Any
Graduate
United States
Any
NA
Hybrid
Willing to work for paid projectsWilling to work for stock and paid projects

Tags

AITech

Education

Experience

Expertise

Data Science
100
Machine Learning
100
Data Modeling
100
Database Management
100

Languages

English,
Telugu,
Hindi
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