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I am a Data Scientist with 4+ years of experience delivering end-to-end ML solutions across time series forecasting, ensemble modeling, NLP, and statistical modeling. I have strong expertise in Python, SQL, Postgres, and cloud platforms (AWS, GCP, Azure) for building scalable data pipelines and production-ready ML systems. I excel at ETL, data wrangling, and deploying models using REST APIs and MLOps frameworks, translating complex analytical insights into measurable business impact through dashboards in Tableau and Power BI. I enjoy collaborating with cross-functional teams to turn data into actionable recommendations for risk management and capital markets.…I am a Data Scientist with 4+ years of experience delivering end-to-end ML solutions across time series forecasting, ensemble modeling, NLP, and statistical modeling. I have strong expertise in Python, SQL, Postgres, and cloud platforms (AWS, GCP, Azure) for building scalable data pipelines and production-ready ML systems. I excel at ETL, data wrangling, and deploying models using REST APIs and MLOps frameworks, translating complex analytical insights into measurable business impact through dashboards in Tableau and Power BI. I enjoy collaborating with cross-functional teams to turn data into actionable recommendations for risk management and capital markets.

YASWANTH BHARATH SOMA

Data Scientist, Data Analyst, AI Engineer, +1

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I am a Data Scientist with 4+ years of experience delivering end-to-end ML solutions across time series forecasting, ensemble modeling, NLP, and statistical modeling. I have strong expertise in Python, SQL, Postgres, and cloud platforms (AWS, GCP, Azure) for building scalable data pipelines and production-ready ML systems. I excel at ETL, data wrangling, and deploying models using REST APIs and MLOps frameworks, translating complex analytical insights into measurable business impact through dashboards in Tableau and Power BI. I enjoy collaborating with cross-functional teams to turn data into actionable recommendations for risk management and capital markets.…I am a Data Scientist with 4+ years of experience delivering end-to-end ML solutions across time series forecasting, ensemble modeling, NLP, and statistical modeling. I have strong expertise in Python, SQL, Postgres, and cloud platforms (AWS, GCP, Azure) for building scalable data pipelines and production-ready ML systems. I excel at ETL, data wrangling, and deploying models using REST APIs and MLOps frameworks, translating complex analytical insights into measurable business impact through dashboards in Tableau and Power BI. I enjoy collaborating with cross-functional teams to turn data into actionable recommendations for risk management and capital markets.

Available to hire

I am a Data Scientist with 4+ years of experience delivering end-to-end ML solutions across time series forecasting, ensemble modeling, NLP, and statistical modeling. I have strong expertise in Python, SQL, Postgres, and cloud platforms (AWS, GCP, Azure) for building scalable data pipelines and production-ready ML systems.

I excel at ETL, data wrangling, and deploying models using REST APIs and MLOps frameworks, translating complex analytical insights into measurable business impact through dashboards in Tableau and Power BI. I enjoy collaborating with cross-functional teams to turn data into actionable recommendations for risk management and capital markets.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Scientist at Northern Trust

April 1, 2025 - Present

Built and evaluated ML models including time series forecasting, ensemble methods (Random Forest, XGBoost), and statistical modeling to predict asset performance and improve early-warning risk detection accuracy by 32% using Python and Scikit-learn. Developed automated ETL and data-wrangling pipelines using Airflow, BigQuery, SQL, and PostgreSQL, reducing data latency and improving model readiness for downstream systems. Designed and deployed LLM-based document classification workflows on Vertex AI, optimizing ingestion and processing, reducing review cycle time by 40%. Deployed and monitored ML models on AWS SageMaker, integrating outputs with internal systems via REST APIs for near real-time portfolio trend insights. Collaborated with quant and data science teams to integrate model outputs into Tableau dashboards for capital markets and risk-management teams.

Data Scientist at Hexaware Technologies

April 1, 2020 - July 31, 2023

Built time series and ensemble models (XGBoost, Random Forest) for retail demand forecasting, improving weekly forecast accuracy by 28%. Performed data cleaning, transformation, statistical analysis, and EDA (Pandas, NumPy) to prepare customer and sales datasets for modeling. Designed ETL workflows using SQL, Python scripts, batch jobs, and PostgreSQL to centralize data from multiple systems. Developed customer segmentation models using K-Means to support targeted marketing and improve campaign engagement by 18%. Implemented basic anomaly detection on transaction data to reduce false fraud alerts and improve review efficiency. Created NLP processing pipelines (NLTK; basic Transformers) to analyze customer service conversations. Built Power BI dashboards showing sales trends, churn indicators, and performance metrics. Supported model deployment and monitoring with Python, Git, Linux/CLI, and REST APIs.