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I am a data scientist with 4+ years of experience building scalable machine learning solutions, predictive analytics workflows, ETL pipelines, and cloud-native data platforms across healthcare and enterprise environments. I have strong expertise in Python, SQL, PySpark, Spark, AWS, Azure, and data visualization tools including Power BI and Tableau. Proven track record designing distributed data processing systems, optimizing large-scale analytic workflows, automating reporting pipelines, and delivering actionable business insights from structured and unstructured datasets. Experienced in statistical modeling, feature engineering, EDA, forecasting, anomaly detection, and big data processing using Apache Spark and cloud ecosystems.…I am a data scientist with 4+ years of experience building scalable machine learning solutions, predictive analytics workflows, ETL pipelines, and cloud-native data platforms across healthcare and enterprise environments. I have strong expertise in Python, SQL, PySpark, Spark, AWS, Azure, and data visualization tools including Power BI and Tableau. Proven track record designing distributed data processing systems, optimizing large-scale analytic workflows, automating reporting pipelines, and delivering actionable business insights from structured and unstructured datasets. Experienced in statistical modeling, feature engineering, EDA, forecasting, anomaly detection, and big data processing using Apache Spark and cloud ecosystems.

Sandeep Divakaruni

Data Scientist, AI Engineer, AI Developer, +2

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I am a data scientist with 4+ years of experience building scalable machine learning solutions, predictive analytics workflows, ETL pipelines, and cloud-native data platforms across healthcare and enterprise environments. I have strong expertise in Python, SQL, PySpark, Spark, AWS, Azure, and data visualization tools including Power BI and Tableau. Proven track record designing distributed data processing systems, optimizing large-scale analytic workflows, automating reporting pipelines, and delivering actionable business insights from structured and unstructured datasets. Experienced in statistical modeling, feature engineering, EDA, forecasting, anomaly detection, and big data processing using Apache Spark and cloud ecosystems.…I am a data scientist with 4+ years of experience building scalable machine learning solutions, predictive analytics workflows, ETL pipelines, and cloud-native data platforms across healthcare and enterprise environments. I have strong expertise in Python, SQL, PySpark, Spark, AWS, Azure, and data visualization tools including Power BI and Tableau. Proven track record designing distributed data processing systems, optimizing large-scale analytic workflows, automating reporting pipelines, and delivering actionable business insights from structured and unstructured datasets. Experienced in statistical modeling, feature engineering, EDA, forecasting, anomaly detection, and big data processing using Apache Spark and cloud ecosystems.

Available to hire

I am a data scientist with 4+ years of experience building scalable machine learning solutions, predictive analytics workflows, ETL pipelines, and cloud-native data platforms across healthcare and enterprise environments. I have strong expertise in Python, SQL, PySpark, Spark, AWS, Azure, and data visualization tools including Power BI and Tableau.

Proven track record designing distributed data processing systems, optimizing large-scale analytic workflows, automating reporting pipelines, and delivering actionable business insights from structured and unstructured datasets. Experienced in statistical modeling, feature engineering, EDA, forecasting, anomaly detection, and big data processing using Apache Spark and cloud ecosystems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

Senior Data Scientist at Syneos Health

September 1, 2025 - Present

Developed scalable machine learning and analytics workflows on Snowflake integrating 12+ clinical, provider, claims, and pharmacy datasets, reducing end-to-end analytics processing time from 14 hours to 3 hours. Built distributed PySpark data pipelines on AWS EMR for HIPAA-compliant healthcare data, enabling near real-time data delivery within 25-minute SLA windows. Conducted exploratory data analysis, statistical analysis, predictive analytics, and health care trend analysis using Python, SQL, and PySpark to identify operational patterns and support strategic decision-making. Integrated GPT-powered NLP workflows and LLM-assisted analytics pipelines to automate health care document summarization, extract insights from unstructured clinical data, and accelerate analytics reporting workflows. Designed and optimized 60+ transformation models, dimensional data sets, and analytical data marts for BI reporting and predictive analytics, improving dashboard query performance by 38%. Implemente

Data Scientist at Accenture

March 1, 2022 - December 1, 2023

Analyzed large structured and semi-structured data sets using Python, SQL, and Power BI to identify operational trends and business insights, improving reporting efficiency by 15%. Built ETL and ELT pipelines using Python and SQL to process and transform data from PostgreSQL and MySQL into Azure Data Lake for analytics and enterprise reporting. Performed data cleaning, preprocessing, feature engineering, and statistical analysis on enterprise data sets, improving data quality consistency by 25%. Developed interactive Power BI and Tableau dashboards visualizing KPIs, revenue trends, and operational metrics, reducing manual reporting time by 30%. Supported predictive analytics and forecasting initiatives using Python, Pandas, and NumPy to improve trend analysis accuracy and automate recurring analytical processes. Automated recurring reporting, validation, and transformation workflows using SQL and Bash scripting, improving operational efficiency.

Data Scientist at Zensar Technologies

October 1, 2020 - February 1, 2022

Developed Python-based REST APIs using FastAPI to ingest, process, and transform JSON data for downstream analytics, ML, and reporting workflows. Improved API performance and data processing efficiency by 30% through optimized backend processing and scalable API architecture. Automated data extraction, preprocessing, and transformation workflows from Cassandra and PostgreSQL databases using Python and Pandas, converting raw data into structured analytic data sets. Conducted end-to-end data validation, testing, and transformation to ensure data accuracy, reliability, and consistency across reporting systems, reducing data errors by 20%. Configured Redis caching for frequently accessed data sets, improving application and analytic query performance by 40%. Documented database schemas, query optimization strategies, API workflows, and data processing standards to improve collaboration and maintainability.