Highlights:

Skills:Python, Data Analysis, Tableau, Machine Learning, Tensorflow, Keras

Data Scientist 07/2023 - current
Metlife, , United States
Industry: Health care
Accomplished Data Scientist with around 4 years of experience in leveraging cutting-edge data analysis, machine learning, and visualization methods to extract actionable insights.
Utilized Python and SQL for data manipulation, model construction, and validation, improving accuracy in risk assessment. ? Developed deep learning models utilizing Convolutional Neural Networks and Long Short-Term Memory networks, improving anomaly detection accuracy by 30% in cybersecurity applications. ? Engineered a comprehensive overhaul of JSON data processing workflows leveraging Pandas and Natural Language Processing (NLP), resulting in a remarkable 30% enhancement in accuracy and operational efficiency. ? Used cloud-based solutions on AWS, reducing infrastructure costs by 40% through efficient resource allocation and utilization. ? Led efforts in managing relational databases such as MySQL and PostgreSQL, implementing optimizations that significantly enhanced query performance, ensuring smoother data retrieval processes and improved operational efficiency. ? Designed and reviewed Tableau dashboards for comprehensive insurance data visualization, including bar graphs, scatter plots, geographical maps, and Gantt charts. ? Migrated historical policy data into the AWS cloud and set up automated processes for incoming data streams, ensuring timely data updates. ? Managed projects using agile methodology to ensure timely software delivery. ? Performed data cleansing and preparation using SQL and Excel, ensuring high-quality data for analysis.--
Data Analyst 09/2020 - 08/2022
Deloitte Consulting, , United States
An Data Analyst worked on data migration project
• Coordinated and led a cross-functional team to migrate a substantial volume of data from SAS to GCP using MySQL and AWS Glue, resulting in a notable 30% reduction in data processing time, thereby optimizing operational efficiency. • Monitored and improved the performance of ETL pipelines deployed on AWS Glue, leading to a 78.9% enhancement in data quality during the transition of data to GCP. • Engineered and executed a Python-based data migration automation project, slashing manual efforts by 70%, streamlining efficiency for the team, and orchestrating the successful transition from SAS to Python. • Conducted exploratory data analysis using statistical methods and A/B testing to compare different participation rate frameworks for curated deals, resulting in the identification of the dynamic alternative as a more effective method for ranking deals. • Utilized advanced statistical techniques and regression analysis to identify underperforming targeting parameters for a specific client, leading to a 30% reduction in issue response time. • Applied BERT & LSTM NLP models for segmenting customer feedback into positive, negative, and neutral sentiments, contributing to an impressive 28% reduction in churn rate. • Designed and deployed an automated dashboard powered by Streamlit for monitoring the integration of new Curated Deals recommendations, fueling a 15% augmentation in deals revenue and driving a 13% upsurge in platform revenue year on year.--

University of Michigan-Dearborn 08/2022 - 04/2024
, , United States
Degree: Master's Degree
Major:Artificial Intelligence
Minor:Machine Learning
Graduated from University of Michigan Dearborn majorring in Artificial Intelligence and concentration as Machine Learning.

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