Data Analyst Machine Learning

HEMANTH KUMAR VATTI

Data Analyst

+1-330-***-**** *******.*@************.*** USA LinkedIn

SUMMARY

Data Analyst with 5+ years of experience in healthcare, energy, and technology domains, specializing in data analytics, machine learning, and business intelligence. Proven expertise in designing predictive models, building interactive dashboards, and delivering insights that enhance decision-making. Skilled in SQL, Python, R, and cloud platforms (AWS, Azure, GCP) with hands-on experience in machine learning algorithms, forecasting models, and NLP applications. Strong track record of collaborating with cross-functional teams to improve business performance, operational efficiency, and financial outcomes.

SKILLS

Methodologies: Agile, Waterfall

Programming Languages: Python, SQL

Big Data Technologies: Hadoop, Hive

Machine Learning & AI: Regression, Classification, Clustering, Forecasting, NLP, Scikit-learn, TensorFlow Packages and Frameworks: NumPy, Pandas, Matplotlib, SciPy, ggplot2, PySpark, Scikit-learn, Flask Visualization Tools: Tableau, Power BI (DAX, Power Query), Microsoft Suite (Excel) ETL Tools: Talend, SSIS, Informatica

Cloud Technologies: AWS (S3, Athena, Redshift), Azure, Google Cloud Platform, Snowflake, Hadoop, Spark Database Technologies: MySQL, PostgreSQL, MongoDB, Cassandra, MS SQL Server, Oracle Data Science: Exploratory Data Analysis (EDA), Data Mapping EXPERIENCE

Data Analyst, Blue Cross Blue Shield, USA Feb 2025 – Present

Partner with healthcare and business units to analyze claims, provider, and member data, generating insights that improved patient engagement and cost optimization.

Designed and deployed machine learning models for risk stratification and readmission prediction, improving accuracy by 18% over legacy models.

Built interactive Power BI dashboards to monitor key healthcare KPIs such as claim denial rates, patient readmission trends, and financial metrics.

Developed predictive models using machine learning algorithms such as Random Forest and Logistic Regression to analyze financial data, identify trends, and improve decision-making accuracy.

Automated ETL workflows in AWS Redshift and Python, reducing manual reporting time by 30%.

Implemented NLP models to analyze customer feedback and social media sentiment, improving marketing strategy insights.

Collaborated with data governance teams to ensure compliance with HIPAA and other healthcare data security standards.

Enhanced the efficiency of core company KPI computation by 70% through comprehensive optimization of SQL code, analyzing millions of records to identify and implement performance improvements. Data Analyst, Reliance Industries Limited, Mumbai, INDIA Sep 2022 – Jul 2023

Spearheaded PLP relevance logic implementation on AJIO Business Storefront, increasing revenue by 43% YoY across key vendor-led categories and enhancing in-house product visibility.

Co-led “Similar Products” recommendation logic for AJIO.com, enabling 35% of buyer purchases through surfaced relevant alternatives.

Designed pricing strategy frameworks to identify high-margin product categories, supporting vendor profitability optimization.

Developed and applied machine learning models to uncover patterns, predict trends, and support data-driven decision-making.

Drove impactful personalization initiatives using transaction data and GA, building customer cohorts to tailor UX and boost conversion.

Developed vendor catalog analytics dashboards, tracking seller scorecards and cluster-level sales to enhance platform catalog richness.

Delivered operational analytics for order lifecycle & SCM performance, reducing delivery TAT by 30% & improving warehouse efficiency.

Developed an algorithm for seller rating and tiering across AJIO B2C platform, enhancing seller showcase visibility and platform efficiency.

Implemented supervised and unsupervised learning techniques to classify, cluster, and forecast business-critical datasets.

Data Analyst, Citus Infotech, INDIA Jun 2018 – Aug 2022

Collaborated effectively with business stakeholders to understand their data needs and build strong relationships, leading to a 15% increase in project delivery efficiency and improved stakeholder satisfaction.

Streamlined end-to-end data analysis by performing data cleaning, exploration, visualization, and feature engineering using Python tools (NumPy, Matplotlib), improving model accuracy and analytical efficiency.

Created robust AWS QuickSight dashboards that streamlined data analysis and visualization processes, reduced report generation time, and increased data-driven insights.

Employed Tableau to analyze large datasets from various sources (databases, CRM systems), identifying key trends and patterns that led to a 20% increase in decision-making efficiency and optimized business strategies.

Managed cross-functional stakeholder expectations throughout the analytics lifecycle, ensuring timely delivery of reports and alignment with strategic objectives.

Worked closely with database administrators to strategize, design, and optimize database schemas across various platforms, including MySQL, SQL Server, and database management systems, for efficient data storage.

Leveraged Azure Data Factory to automate and orchestrate data pipelines, resulting in a 30% reduction in data processing time and improved data availability for real-time reporting and analytics.

Extracted, transformed, and analyzed CRM data from Salesforce to deliver actionable insights, contributing to a 15% increase in lead conversion rate and improved sales team performance.

Optimized SQL queries in SSMS using indexing, query hints, and other performance-tuning strategies, resulting in a 25% improvement in overall database efficiency.

Designed and maintained ETL workflows using SSIS and Talend to extract, transform, and load data from multiple sources into centralized data warehouses, reducing data processing time by 40% and improving reporting efficiency by 25%.

Created Financial Data Mapping Documents and collaborated closely with business stakeholders to define transformation rules, ensuring 100% accuracy in financial reporting and supporting on-time project delivery across 3+ financial systems.

EDUCATION

Master’s in Data Science, Kent State University, Kent, Ohio Aug 2023 – Dec 2024 Bachelor’s in Computer Science, B.V.Raju Institute of Technology, Telangana, INDIA Sep 2014 – May 2018

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