Data Analyst Research Assistant

LeelaHariPriya Ginakunta

Dallas, TX **********************@*****.*** 862-***-**** www.linkedin.com/in/leelaginakunta SUMMARY

Data Analyst with 3+ years of experience building cloud-native analytics solutions on AWS (S3, Glue, Athena, Redshift, Lambda, SageMaker) and Azure (ADF, Databricks, Synapse). Advanced in SQL and Python for ETL/ELT automation, dimensional data modeling, and statistical/forecasting workflows. Proficient with Tableau, Power BI, and QuickSight to deliver self-serve dashboards, KPI frameworks, and data quality governance. I am known for translating ambiguous business needs into scalable data products, collaborating across Ops, Finance, and Product teams, and shipping impact in Agile environments. EDUCATION

University of North Texas, Denton

Master of Science in Data Science May 2024

Jawaharlal Nehru Technological University, India

Bachelor in Computer Engineering July 2022

EXPERIENCE

University of North Texas Denton, Texas, USA

Graduate Teaching and Research Assistant January 2023 - May 2024

• Tutored 200+ students in statistics, probability, and advanced computer science concepts by designing and delivering interactive lectures by leveraging strong communication skills and hands-on lab sessions using Python, boosting average grades by 15%.

• Designed and implemented a secure GenAI feedback platform by deploying a GPT-3.5 Turbo model as an AWS SageMaker real-time endpoint, orchestrated via LangChain in Python notebooks, automating assessment workflows with detailed audit logs and reducing evaluation cycles from two weeks to <24 hours.

• As a research assistant under faculty advisor, architected and deployed end-to-end AWS real-time analytics pipelines using Kinesis Data Streams and Lambda; implemented SageMaker XGBoost endpoints for fraud detection (95% accuracy) and LSTM models for stock forecasting (4.2% MAPE), achieving <200 ms inference latency and supporting academic publication efforts. CSS CORP ICT Services Chennai, India

Data Analyst January 2022 – July 2022

• Led enterprise-wide AWS resource tagging governance across 15+ accounts; embedded standards into Terraform/CloudFormation, achieving 100% cost-center attribution and cutting monthly cloud spend 20%.

• Built cost-optimization dashboards with AWS Cost Explorer, Athena (SQL), and QuickSight; implemented anomaly alerts and automated off-hours shutdowns via Lambda/tag logic.

• Wrote advanced Athena/SQL queries on VPC subnet use, NAT/TGW traffic, and endpoint config; insights drove network redesigns that lowered egress costs 18%.

• Automated compliance monitoring with Python pipelines orchestrating AWS Config, GuardDuty, and Security Hub outputs; reduced NIST-CSF audit prep time by 60%.

• Partnered with Finance, DevOps, and Cloud Architecture to define KPIs and launch self-serve reporting, cutting ad-hoc requests 45%. Hebeon Technologies Pvt Ltd Hyderabad, India

Data Analyst October 2020 - Decemeber2021

• Retrieved and combined 50M+ rows/month from SAP, SQL Server, and CSV sources using Azure Data Factory and Databricks (PySpark/SQL); reusable ETL notebooks/views cut reporting SLAs 65% (2 days 6 hours).

• Designed a Power BI & Excel (Power Query/VBA) reporting suite for capacity, SLA, and throughput KPIs used by 5 departments; manual effort dropped 50% and utilization accuracy rose 15%.

• Authored advanced SQL (CTEs, window functions) to monitor operational metrics and surface anomalies; partnered with Ops to implement 8 process fixes and reduce bottlenecks.

• Implemented data governance (RLS, validation rules, lineage docs) in Azure SQL, boosting data quality scores 30% and easing audit reviews.

• Led two Agile mini-projects to automate dashboard refresh and alerting (Power Automate, Databricks jobs), cutting ad-hoc request volume 40% and freeing ~20 analyst hours/week.

SKILLS

• SQL & Scripting: Advanced SQL (T-SQL, PostgreSQL, Redshift, MySQL), Python (Pandas, NumPy, scikit-learn), R, Excel Power Query/VBA

• Data Science & Statistical Analysis: Hypothesis testing, segmentation, clustering, regression, classification, NLP, sentiment analysis, time-series forecasting.

• AI & Advanced ML: Deep Learning (CNNs, RNNs, Transformers), Reinforcement Learning (DQN, PPO), Computer Vision (OpenCV, TensorFlow/Keras), Generative AI (LangChain, Bedrock, GPT)

• AWS Stack: S3, Glue, Athena, Redshift, Lambda, Kinesis, Step Functions, SageMaker, QuickSight, CloudWatch, IAM

• Azure Stack: Azure Data Factory, Databricks, Synapse/SQL DB, Logic Apps, Functions, Azure Cognitive Services, Azure Monitor

• BI & Visualization: Power BI (DAX, RLS, DirectQuery), Tableau (LOD, parameters), AWS QuickSight, Excel (Power Pivot)

• ETL/ELT & Orchestration: AWS Glue Jobs, ADF pipelines, Databricks notebooks, Airflow, dbt (for SQL workflow automation), CI/CD for analytics

• Analytics & Modeling: Exploratory/diagnostic analysis, forecasting (ARIMA/Prophet), A/B testing & experiment design, anomaly detection, optimization

(linear programming)

• Data Architecture & Governance: Dimensional modeling (star schema), data quality & lineage, security/privacy (GDPR, NIST)

• Tools & Practices: Git/GitHub, Jira, Agile/Scrum, Terraform basics, stakeholder storytelling & data-driven decision support, Cross-functional Collaboration

• Certifications: Microsoft Data Engineer Associate, AWS Certified Machine Learning Engineer Associate, AWS Certified Machine Learning Specialty. PROJECTS

Customer Churn Early-Warning System

• Engineered an end-to-end AWS Glue RedshiŌ ETL pipeline on 45 million CDR and billing records from Verizon’s postpaid subscriber base, crafting 60+ Python feature transforms (usage patterns, spend anomalies) and training an XGBoost model in SageMaker.

• Delivered daily Lambda automated scoring and RLS enabled Tableau dashboards to the customer success team, achieving AUC 0.89, cutting false negatives by 27%, and enabling weekly playbooks that improved 30-day retention by 12%. Operations KPI Automation & Alerting

• Centralized 250+ CSV and HL7 feeds from UT Health’s EMR exports into S3, orchestrated with Athena SQL queries and Lambda triggered Glue jobs, and rolled out AWS QuickSight dashboards with anomaly alerts.

• Reduced manual SLA breach detection from 24 hours to under 2 hours and cut report prep effort by 90%, freeing operations analysts to focus on root cause investigations rather than data wrangling. Revenue Forecast & Variance Hub

• Built ARIMA and Facebook Prophet models in Python on a 5-year anonymized Thomson Reuters dataset, staging forecasts in SQL Server and Excel Power Query; constructed Tableau variance waterfall and KPI dashboards with automated email alerts via AWS SES.

• Improved forecast accuracy (MAPE) from 21% to 14% and slashed variance investigation time by 50%, providing finance students a real time “war room” simulation for agile decision making. Public Health Surveillance Dashboard

• Architected a HIPAA compliant, serverless AWS data platform (API Gateway Lambda S3 Glue RedshiŌ) ingesƟng CDC and Texas DSHS COVID 19 case data (5 million+ daily records), with IAM guarded access controls.

• Implemented SageMaker Prophet forecasting and Python based Random Cut Forest anomaly detection, integrated into QuickSight with SNS driven alerting—cutting outbreak response time by 40% and improving resource allocation accuracy by 25%.

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