I am a Data Scientist with 3+ years of experience delivering analytics and machine learning solutions using Python, SQL, and R. I have helped organizations unlock value from data by building scalable data pipelines, conducting rigorous model validation, and deploying predictive and churn models. I’m skilled in statistical analysis, exploratory data analysis, and behavioral analytics, and I communicate insights through executive dashboards using Tableau and Power BI in Agile, cross-functional environments. I have a strong background in data engineering, feature engineering, and turning structured and semi-structured data into analytically ready datasets. I have deployed models through batch scoring and API-based pipelines and collaborated with portfolio managers, risk teams, and product stakeholders to translate analytics into actionable business strategies and continuous improvements.

Omprakash Vallapu

I am a Data Scientist with 3+ years of experience delivering analytics and machine learning solutions using Python, SQL, and R. I have helped organizations unlock value from data by building scalable data pipelines, conducting rigorous model validation, and deploying predictive and churn models. I’m skilled in statistical analysis, exploratory data analysis, and behavioral analytics, and I communicate insights through executive dashboards using Tableau and Power BI in Agile, cross-functional environments. I have a strong background in data engineering, feature engineering, and turning structured and semi-structured data into analytically ready datasets. I have deployed models through batch scoring and API-based pipelines and collaborated with portfolio managers, risk teams, and product stakeholders to translate analytics into actionable business strategies and continuous improvements.

Available to hire

I am a Data Scientist with 3+ years of experience delivering analytics and machine learning solutions using Python, SQL, and R. I have helped organizations unlock value from data by building scalable data pipelines, conducting rigorous model validation, and deploying predictive and churn models. I’m skilled in statistical analysis, exploratory data analysis, and behavioral analytics, and I communicate insights through executive dashboards using Tableau and Power BI in Agile, cross-functional environments.

I have a strong background in data engineering, feature engineering, and turning structured and semi-structured data into analytically ready datasets. I have deployed models through batch scoring and API-based pipelines and collaborated with portfolio managers, risk teams, and product stakeholders to translate analytics into actionable business strategies and continuous improvements.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Data Scientist at Northern Trust
January 1, 2025 - Present
Architected analytics workflows to consume financial, reference, and market data feeds, supporting enterprise-level portfolio analytics, risk monitoring, and client intelligence use cases. Engineered robust data preparation processes using Python and SQL to transform raw trade, holdings, and account data into analytically ready datasets for downstream modeling. Implemented predictive modeling solutions to assess portfolio risk exposure, client behavior trends, and operational anomalies, ensuring model robustness through validation and benchmarking. Analyzed asset-level and client-level data to uncover correlations, risk drivers, and early warning indicators impacting investment and servicing decisions. Operationalized analytical models through scalable batch scoring and integration with enterprise reporting systems. Developed executive-ready dashboards and visual analytics using Tableau and Power BI to present financial KPIs, model outputs, and trend insights to senior stakeholders. Wo
Data Scientist at Streebo Inc
January 1, 2021 - July 1, 2023
Built data-driven solutions to analyze customer interaction, transaction, and engagement data across CRM systems and digital platforms, supporting personalization and customer lifecycle initiatives. Processed and refined large volumes of structured and semi-structured data using Python libraries and SQL, ensuring data quality, consistency, and readiness for advanced analytics. Designed and implemented machine learning models to predict customer churn, segment user populations, and estimate propensity scores for targeted business actions. Conducted deep exploratory and behavioral analysis to identify usage patterns, drop-off points, and customer trends, delivering insights to product and marketing teams. Collaborated with software engineering teams to deploy predictive models and scoring logic through APIs and scheduled pipelines for real-time and batch consumption. Produced analytical dashboards and KPI reports using Tableau and Power BI to track customer metrics, model effectiveness,

Education

Master of Science in Computer Science at Florida Atlantic University
January 11, 2030 - April 1, 2025
Bachelor of Technology in Computer Science and Engineering at Jawaharlal Nehru Technological University – Hyderabad, India
January 11, 2030 - June 1, 2022
Master of Science in Computer Science at Florida Atlantic University
January 11, 2030 - April 1, 2025
Bachelor of Technology in Computer Science and Engineering at Jawaharlal Nehru Technological University – Hyderabad, India
January 11, 2030 - June 1, 2022
Master of Science in Computer Science at Florida Atlantic University
January 11, 2030 - April 1, 2025
Bachelor of Technology in Computer Science and Engineering at Jawaharlal Nehru Technological University – Hyderabad
January 11, 2030 - June 1, 2022

Qualifications

SQL (Advanced) Certification by HackerRank
January 11, 2030 - March 5, 2026
Python (Basic) Certification by HackerRank
January 11, 2030 - March 5, 2026
SQL (Advanced) Certification by HackerRank
January 11, 2030 - March 5, 2026
Python (Basic) Certification by HackerRank
January 11, 2030 - March 5, 2026

Industry Experience

Financial Services, Software & Internet, Professional Services