Kusuma Nara
Data Science Engineer @ TD Ameritrade
About
Experienced Data Scientist specializing in credit risk analysis and loss forecasting, with a proven ability to build scalable, production-ready machine learning models for real-time decision-making systems. Proficient in Python, SQL, Spark, and key ML libraries, with expertise in classification problems, regression modeling, and developing robust feature engineering pipelines. Skilled in collaborating with engineers to optimize model latency and uptime, while balancing technical trade-offs to deliver accurate and actionable insights that support risk assessment and financial planning.
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United States
Information Technology & Services
Artificial Intelligence (AI), Data Science, Engineering Data Management, Data Architects, Data Loading, Data Mining, Statistical Data Analysis, Amazon Web Services (AWS), Data Modeling, Extract, Transform, Load (ETL), Natural Language Processing (NLP), Data Manipulation, PySpark, databricks, Tableau, MongoDB, Mathematics, Physics, Chemistry, Analytical Skills
Experience

Data Science Engineer
United States
• Developed complete end to end Big-data processing in Hadoop eco system. • Provided application support during the build and test phases of the SDLC for their product. • Recreated existing application logic and functionality in the Azure Data Lake, Data Factory, Data Bricks, SQL Database and SQL data warehouse environment. • Worked on data migration from on-prem SQL server to Azure Synapse Analytics (DW and Azure SQL DB) • Performed data profiling and transformation on the raw data using Python, and oracle • Developed predictive analytics using Apache Spark Scala APIs.

Data Scientist Analyst
Boston, Massachusetts, United States
• Spearheaded Involved in creating specifications for ETL processes, finalized requirements and prepared specification documents • Migrated data from on-premises SQL Database to Azure Synapse Analytics using Azure Data Factory, designed optimized database architecture • Created Azure Data Factory for copying data from Azure BLOB storage to SQL Server • Implement ad-hoc analysis solutions using Azure Data Lake Analytics/Store, HDInsight/Databricks • Work with similar Microsoft on-prem data platforms, specifically SQL Server and SSIS, SSRS, and SSAS • Create Reusable ADF pipelines to call REST APIs and consume Kafka Events. • Used Control-M for scheduling DataStage jobs and used Logic Apps for scheduling ADF pipelines • Developing and configuring Build and Release (CI/CD) processes using Azure DevOps, along with managing application code using Azure GIT with required security standards for .Net and java applications.

Data Analyst
Chennai, Tamil Nadu, India
• Enhanced data mining efficiency by integrating advanced data modelling techniques, achieving a 30% reduction in processing time. • Spearheaded data-sourcing strategies, expanding the coverage of usable data by 20%. • Implemented machine learning algorithms in business processes, boosting prediction accuracy by 15%. • Developed and deployed three predicative models for pattern recognition, resulting in a 10% increase in customer satisfaction for two major clients. • Conducted comprehensive data analysis using Python and R, providing actionable insights that improved marketing strategies and increased ROI by 25%
Kusuma Nara's Contact Information
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