Keya Keya Email & Phone Number

New York, Ny, Us

New York, Ny, Us

New York, United States

•Built predictive customer insight models using Python, Pandas, and Scikit-learn on a dataset of 10,000 customer records, boosting retention by 15% through personalized product recommendations based on data-driven analysis.•Conducted investment risk assessments by applying statistical methods like regression analysis, time-series forecasting on datasets using SQL and Spark, utilized AWS Redshift for data processing and Power BI for visualizing market trends, enabling strategic decision-making.•Developed Big Data analytics solutions using Apache Spark and AWS Redshift to process and analyze large-scale financial transaction datasets, enabling comprehensive risk modeling and detecting potential fraud patterns across multiple investment portfolios.•Designed interactive dashboards in Power BI, integrating multi-database financial datasets to generate actionable insights on business performance and support executive decision-making.

India

•Conducted user behavior analysis using Python (Pandas, NumPy), applying clustering techniques like K-means to segment 50,000 user interactions, enabling targeted product design improvements that boosted user experience metrics by 25%•Developed interactive dashboards using Tableau, leveraging descriptive statistics and statistical analysis to translate complex user engagement metrics into actionable insights, driving data-informed decisions across cross-functional teams.•Enhanced data quality by implementing rigorous data validation protocols in PostgreSQL and MySQL databases, reducing inconsistencies and ensuring reliable business intelligence reporting for key stakeholders.•Conducted time-series analysis and hypothesis testing on 3 years of historical data using Google Cloud Platform to forecast user behavior trends, enabling proactive product development and improving predictive accuracy.

India

•Leveraged logistic regression models in SQL and Python to enhance diagnostic data analysis, developing predictive algorithms that standardized clinical test evaluation processes.•Utilized advanced machine learning algorithms (random forests and SVMs) to analyze treatment protocol effectiveness, generating predictive models that enhanced clinical decision support systems and improved treatment efficacy predictions by 20%.•Created comprehensive Tableau visualizations mapping patient outcome trajectories, supporting medical research teams in identifying critical treatment patterns and providing data-driven insights for precision medicine initiatives.•Collaborated across clinical research, and operational teams to implement data-driven system enhancements, conducting root cause analysis on patient care workflows and translating complex data insights into strategic healthcare improvement recommendations.

Master Of Science - Ms, Management Of Technology, 3.6

Education record

Bachelor Of Engineering (Be), Telecommunications Engineering, First Class With Distinction : 3.5 Gpa