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Data Analyst Machine Learning

Location:
Bronx, NY
Posted:
October 15, 2025

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Resume:

SARTHAK PANSURIA

NewYork, NY linkedin.com/in/sarthakpansuria ***************@*****.*** Github +1-201-***-****

SUMMARY:

Results-driven BI Engineer and Data Analyst with 4+ years of experience using SQL, Snowflake, and advanced machine learning to deliver impactful data solutions across healthcare, insurance, and fintech. Proven ability to enhance operational efficiency, streamline workflows, and generate insights using ETL processes, Data exploratory analyses, and data visualization tools (Tableau, Power BI, Looker). Skilled in collaborating with stakeholders to build predictive models and dashboards, writing, tuning, and troubleshooting SQL queries, and working with Actuaries, driving improved decision-making and measurable business growth.

SKILLS:

Certifications: AWS Cloud Practitioner.

Programming & Scripting: Python, SQL (MySQL, PostgreSQL, Redshift), R, SAS, MATLAB.

Data Analysis & Modeling: Pandas, NumPy, SciPy, Scikit-learn, OpenCV.

Data Visualization & BI Tools: AWS QuickSight, Tableau, Power BI, Looker, Microsoft Excel.

Database Management: SQL (Oracle, Redshift), NoSQL (MongoDB), Hadoop, Spark.

Cloud & DevOps: AWS (EC2, S3, RDS), Azure, Google Cloud, Docker, Kubernetes, Terraform.

Analytics & Reporting: Data Mining, Forecasting, Data Visualization, Data Modeling, KPI Analysis, Ad Hoc Analysis.

EXPERIENCE:

Business Intelligence Engineer – Elevance Health Inc., New York May 2023 - Current

Developed and deployed data-driven solutions for predictive analytics, optimizing healthcare service offerings and reducing claim processing times by 17%, leveraging SQL and Python.

Designed interactive dashboards using Tableau and Power BI to track patient outcomes, improving decision-making for health care providers and increasing operational efficiency by 15%.

Automated ETL processes for healthcare claims data, enhancing data accuracy and reducing data retrieval time by 20% through cloud-based platforms like AWS and Snowflake.

Led data exploratory analyses for patient readmissions, decreasing hospital readmissions by 7% using machine learning algorithms and predictive analytics.

Collaborated with cross-functional teams, including product and engineering, to streamline data workflows using Jira within an Agile framework, ensuring project milestones were met on time.

Developed healthcare compliance reports for regulatory bodies, ensuring data integrity and meeting stringent healthcare standards with 100% accuracy using SQL and data visualization.

Collaborated with senior data analysts to refine predictive models for insurance risk assessments, reducing patient claims fraud by 10% through data mining and machine learning techniques.

Data Analyst – Mindtree Ltd., India Sep 2020 - Aug 2022

Engaged with internal stakeholders to gather data requirements for patient demographics and claim analysis, ensuring alignment across departments and improving data quality by 10% through Salesforce CRM and ETL tools.

Analyzed and cleaned large datasets related to patient demographics, improving data quality and accuracy by 12% using Python and R for statistical analysis.

Created custom reports using Excel and Power BI to track operational metrics, reducing reporting time by 15% and increasing visibility into healthcare service performance.

Developed and implemented data models to assess insurance claim risks, improving claim approval efficiency by 15% through SQL and predictive analytics.

Designed business intelligence dashboards in Power BI to track customer segmentation and insurance policy performance, leading to a 12% increase in cross-selling opportunities.

Designed and deployed Looker dashboards to monitor customer segmentation and fraud detection patterns, reducing fraudulent claims by 10% through data visualization.

EDUCATION:

University of Massachusetts, Boston Aug 2022 - May 2024

Master of Science in Computer Science GPA - 3.60

Pandit Deendayal Energy University, India Aug 2017 - May 2021

Bachelor of Engineering in Information and Communication Technology GPA - 3.86

ACADEMIC PROJECT: SPARSH – ML-POWERED SKIN DISEASE PREDICTION PLATFORM

Conducted Exploratory Data Analysis on a dermatological image dataset (50,000+ images), cleaning and aggregating metadata to identify key features driving disease classification. [Skills: Python (pandas, NumPy), SQL, data cleaning, feature engineering].

Built & Evaluated a convolutional neural network classifier—tuning hyperparameters (dropout rate, epochs) to lift accuracy to 97%—and visualized performance (confusion matrices, ROC curves) to guide model improvements. [Skills: Python (scikit-learn, TensorFlow), model evaluation, statistical analysis, data visualization (Matplotlib, Seaborn)].

Automated ML Workflow with MLflow tracking for experiment management and parameter tuning (dropout, epochs), ensuring reproducible training pipelines and streamlined model retraining. [Skills: MLflow, TensorFlow, pipeline orchestration]



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