Data Analyst Engineer

Yeswanth Puli

+1-816-***-**** *********.**@*****.*** https://www.linkedin.com/in/yeswanth-p-855095170 PROFESSIONAL SUMMARY

Results-driven Data Analyst with strong Data Engineering and AI/ML experience, specializing in turning complex, high-volume data into actionable insights and scalable pipelines. Proven success in blockchain-based software environments, with a track record of building robust ETL workflows, developing ML-ready datasets, and enabling real-time analytics using tools like Python, SQL, Airflow, Snowflake, and Tableau. Adept at automating data processes, reducing latency by over 60%, and improving model precision by 15% through intelligent feature engineering. Recognized for driving business value through deep-dive analysis of smart contract usage, DeFi metrics, and user behavior—resulting in increased adoption, reduced costs, and enhanced data visibility across departments. EDUCATION

University of Central Missouri Aug 2023 – May 2025 Master of Science, Computer Engineering

St Martins Engineering College Jun 2016 – Jun 2020 Bachelor of Science, Computer Science

EXPERIENCE

Arka F&B Pvt Ltd Aug 2021 – May 2023

Data Engineer

• Built and maintained real-time sales and supply chain data pipelines using Airflow and Spark, ensuring 99.9% uptime across production and distribution systems.

• Resolved 80%+ of data discrepancies within SLA using SQL and Jira, reducing inventory forecasting errors by 35%.

• Optimized performance of AWS RDS (PostgreSQL) and S3 storage for internal dashboards, cutting report latency by 40% for over 200 internal users.

• Automated ingredient-level tracking and quality control reports using Python and Shell scripts, reducing manual work by 50% in operations.

• Integrated ML models into CI/CD pipelines with Jenkins and GitLab, accelerating demand prediction deployments by 30%.

• Managed infrastructure for recipe cost optimization models using Terraform and Kubernetes, ensuring zero downtime across 25+ deployments.

• Developed ETL pipelines and feature engineering modules for customer preference and sales trend models, increasing forecast accuracy by 12%.

• Authored 30+ runbooks, SOPs, and dashboards documentation in Confluence, improving data team onboarding speed by 25%.

• Provided 24/7 on-call production support for critical data flows and ML pipelines via PagerDuty, ensuring <10-minute response time for major incidents.

Procial Feb 2019 - Aug 2021

Data Analyst

• Analyzed blockchain transaction data from 100K+ wallets using SQL and Python, increasing actionable insights for product teams by 28%.

• Built automated Airflow pipelines to ingest and process smart contract logs, reducing data lag from 24 hours to under 15 minutes.

• Engineered ETL workflows to aggregate DeFi metrics, cutting manual reporting time by 70% and improving data reliability.

• Created A/B testing dashboards with Power BI, boosting feature adoption by 22% across newly launched decentralized apps.

• Developed and maintained Tableau dashboards for contract usage and user retention, improving stakeholder visibility by 35%.

• Prepared ML-ready datasets from unstructured blockchain logs, reducing data preprocessing time by 40%.

• Implemented feature engineering pipelines for fraud detection models, improving model precision by 15% in pilot deployment.

• Optimized investor and compliance reporting using Snowflake and dbt, cutting turnaround time by 40%.

• Conducted deep-dive analysis on token usage and gas fees, identifying cost-saving opportunities that reduced operational expenses by 18%.

• Led workshops on data governance for blockchain data, increasing data auditability and compliance readiness by 30%. SKILLS

• Incident Management & IT Operations: ServiceNow, Jira, BMC Remedy, ITIL, Agile, Scrum, Windows Server (2012–2019), Linux/Unix (RHEL 8, CentOS 8), Microsoft 365 Suite, Active Directory.

• DevOps, Version Control & CI/CD: Git, GitHub, Jenkins, Azure DevOps.

• Data Management & Engineering: SQL, MySQL, PostgreSQL, Data Warehousing, ETL pipelines, Data Modeling, Database Administration, Cloud Platforms: AWS, Azure (including data services).

• Data Analysis, Visualization & AI/ML: Python (Pandas, NumPy, Scikit-learn), Shell Scripting, Data Cleaning, Exploratory Data Analysis (EDA), Statistical Analysis, Visualization: Grafana, Kibana, Tableau (if applicable), Basic Machine Learning concepts and frameworks (Scikit-learn, TensorFlow, PyTorch).

• Monitoring, Observability & Alerting: SLOs, SLIs, SLAs, Monitoring Tools: DataDog, Grafana, Kibana, ELK Stack, Dynatrace, PagerDuty, Splunk, Tidal, Sitescope, Alert creation, refinement, noise reduction. PROJECTS

Real-Time Loan Processing Data Pipeline

• Designed and built scalable real-time data pipelines using AWS (EC2, S3, RDS) and PostgreSQL.

• Monitored systems using Splunk, Datadog, and PagerDuty, reducing critical failures by 40%.

• Integrated ML pipelines with Jenkins CI/CD, speeding up model deployment by 30%. Learning Management System (LMS) Analytics Dashboard

• Developed dashboards in Tableau using Python and SQL to analyze student engagement and course performance.

• Conducted A/B testing and exploratory data analysis, increasing course completion rates by 20%.

• Automated data health checks with Python, decreasing platform outages by 45%. Cloud Infrastructure Automation and Incident Management

• Authored runbooks and managed incident response with PagerDuty, improving onboarding speed by 25%.

• Standardized monitoring with ELK Stack, Dynatrace, and Splunk, achieving 99.8% uptime. Customer Sentiment Analysis and Recommendation System

• Created a recommendation engine using collaborative filtering, increasing personalized upsell rates by 22%.

• Applied NLP models to improve sentiment classification accuracy by 18% on customer feedback data.

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