Keya Keya Email & Phone Number
Who is Keya Keya? Overview
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Keya Keya is listed as Business Analyst at Moody's Analytics, based in New York, New York, United States. AeroLeads shows a matched LinkedIn profile for Keya Keya.
Keya Keya previously worked as Data Analyst at Bny and Data Analyst at Vivma Software Inc. Keya Keya holds Master Of Science - Ms, Management Of Technology, 3.6 from Nyu Tandon School Of Engineering.
Email format at Moody's Analytics
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About Keya Keya
🌟 Data Analyst | Turning Data into Strategic Insights 🌟Hello, I’m Keya—a passionate Data Analyst with 4+ years of experience transforming complex datasets into actionable insights that drive business success. With expertise in advanced analytics, machine learning, and data visualization, I’ve helped organizations across industries optimize operations, enhance decision-making, and achieve measurable outcomes.🔍 What I Bring:Analytical Expertise: Proficient in Python, SQL, and R, leveraging tools like Pandas, Scikit-learn, Tableau, and Power BI to extract meaningful insights from data.Big Data Proficiency: Hands-on experience with Apache Spark, AWS Redshift, and Google Cloud, enabling scalable solutions for large datasets.Strategic Vision: A results-driven mindset, demonstrated through predictive modeling, customer segmentation, and interactive dashboards that inform high-impact business strategies.Collaborative Problem Solver: Skilled in stakeholder management and cross-functional team collaboration, ensuring seamless communication and data-driven decision-making.💼 Professional Highlights:Boosted customer retention by 15% through predictive models and personalized recommendations.Delivered interactive dashboards that integrated multi-database datasets, empowering executives to make data-backed decisions.Built fraud detection solutions using Big Data technologies, safeguarding multi-million-dollar investment portfolios.📈 Passion for Growth:I thrive at the intersection of technology and strategy, constantly exploring innovative ways to unlock the potential of data. Whether it's solving complex problems, streamlining processes, or uncovering trends, I’m committed to delivering impactful solutions that add value.🔗 Let’s Connect!If you’re interested in discussing data-driven strategies, analytics, or simply exchanging ideas, feel free to connect or send a message.
Keya Keya's current company
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Keya Keya work experience
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Data Analyst
Current- 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.
- 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.
- 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.
- Designed interactive dashboards in Power BI, integrating multi-database financial datasets to generate actionable insights on business performance and support executive decision-making.
Data Analyst
- 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.
- 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.
- 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.
Data Analyst
- 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.
- 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.
- 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.
Keya Keya education
Master Of Science - Ms, Management Of Technology, 3.6
Education record
Bachelor Of Engineering (Be), Telecommunications Engineering, First Class With Distinction : 3.5 Gpa
Frequently asked questions about Keya Keya
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What company does Keya Keya work for?
Keya Keya works for Moody's Analytics.
What is Keya Keya's role at Moody's Analytics?
Keya Keya is listed as Business Analyst at Moody's Analytics.
Where is Keya Keya based?
Keya Keya is based in New York, New York, United States while working with Moody's Analytics.
What companies has Keya Keya worked for?
Keya Keya has worked for Moody'S Analytics, Bny, Vivma Software Inc, and Accenture.
How can I contact Keya Keya?
You can use AeroLeads to view verified contact signals for Keya Keya at Moody's Analytics, including work email, phone, and LinkedIn data when available.
What schools did Keya Keya attend?
Keya Keya holds Master Of Science - Ms, Management Of Technology, 3.6 from Nyu Tandon School Of Engineering.
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