Kislay Kislay
Data Analyst @ BNY | Data Science | AWS | Accenture
- Role
- Data Analyst at BNY
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Kislay Kislay
I am a data-driven professional with over five years of experience in data analysis, visualization, and ETL pipeline development. Skilled in SQL, Python, Tableau, and Power BI, I transform raw data into actionable insights that drive business impact. Experienced across retail, finance and healthcare, I’ve built predictive models, improved efficiency, and developed dashboards to support decision-making. Proficient in AWS, Snowflake, Spark, and Kafka, I thrive in fast-paced environments, delivering real-time solutions. Passionate about solving business challenges through analytics and eager to connect with like-minded professionals or explore new opportunities. Let’s connect!
Experience
Data Analyst
Jan 2024 — Present · NY, US
Led end-to-end data analysis initiatives using SQL Server and Python (Pandas, NumPy), implementing ETL pipelines in Apache Airflow to process financial datasets across multiple sources while maintaining 99.9% data accuracy and reducing report generation time, enabling faster decision-making for investment strategies. • Engineered automated cash reconciliation system using Python and PostgreSQL, integrating with AWS S3 for data storage and Snowflake for processing, reducing manual effort by 40% while ensuring SLA compliance through robust validation frameworks. • Leveraged advanced statistical modeling (Time Series Analysis, Regression) and machine learning algorithms (Random Forest, SVM) to analyze market trends, utilizing Apache Spark for large-scale data processing, resulting in an improved investment decision accuracy and identifying market opportunities that generated $2M in additional revenue.• Designed and maintained interactive dashboards using Tableau, collaborating with cross-functional teams to optimize KPI visualization and implementing dbt for data transformation, improving stakeholder reporting efficiency.• Orchestrated data quality enhancement project using Splunk Enterprise and Apache Kafka for real-time data monitoring, implementing standardized ETL processes with version control through GitHub, reducing data inconsistencies while ensuring regulatory compliance.
Education
Visvesvaraya Technological University
Bachelor's degree
2013 — 2017
Stevens Institute of Technology
Master's degree
2022 — 2024
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