Data Analyst Data Engineer

Harshith Raju

Data Analyst Data Engineer

**************@*****.*** +1-216-***-**** OH LinkedIn GitHub Professional Summary

Data Analyst with a strong foundation in SQL, Python, and data visualization, backed by a Master's in Management Information Systems. Experienced in building ETL pipelines, transforming raw data into actionable insights, and creating interactive dashboards using Power BI and Tableau. Proven track record in data quality assurance, KPI tracking, and delivering data-driven solutions that support business decision-making. Seeking Data Analyst roles where technical skills meet business impact. Education

Masters of Science (M.S.) in Management Information Systems, Cleaveland State University, Monte Ahuja College of Business August 2023 – May 2025

Bachelors of Science (B.S.) in Electronics and Communication Engineering, Kalaignarkarunanidhilnstitute of Technology, Tamil Nadu, India September 2018 – May 2022

Skills

Data Analysis & Visualization: SQL (MySQL), Power BI, Tableau, Advanced Excel (Pivot Tables, VLOOKUP, Charts), KPI Development Programming & Analytics: Python (Pandas, NumPy), R, Data Cleaning, Feature Engineering Data Engineering: ETL Pipelines, Data Transformation, Data Validation, Quality Checks Databases: Relational Database Design (3NF), Schema Design Tools & Methodologies: Git, Agile/Scrum, BPMN, Data Governance Professional Experience

Membership Representative - Operations Focus,

Centers LLC – Health and Wellness Recreation Center, OH May 2024 – May 2025

•Analyzed operational and membership data to track performance metrics, improving reporting efficiency by 30% through streamlined data workflows

•Developed and maintained reports and dashboards tracking KPIs related to memberships, usage patterns, and operational performance using Power BI and Excel

•Conducted data quality checks and validation to ensure accuracy and consistency across reporting systems

•Performed ad-hoc data analysis to support operational decisions, leading to 12% membership growth through data-driven insights

•Collaborated with cross-functional teams to gather requirements and document process flows for improved transparency Environment: SQL (MySQL), Advanced Excel, Power BI, Tableau, Python (Pandas, NumPy), Data Validation, KPI Tracking Data Engineer, Trigent Software June 2022 – June 2023

•Built and maintained ETL pipelines to ingest, transform, and load structured data into relational databases for analytics and reporting

•Developed optimized SQL queries supporting data extraction, transformation, and downstream reporting requirements

•Implemented data validation and quality checks ensuring accuracy and reliability of production datasets

•Automated recurring data processing tasks using Python scripts, reducing manual intervention and improving pipeline reliability

•Collaborated with analysts and stakeholders to deliver analysis-ready datasets supporting business intelligence initiatives Environment: Python (Pandas, NumPy), SQL, ETL Pipelines, Data Transformation, Data Validation, Relational Databases, Git, Agile/Scrum Data Engineer (Intern), Trigent Software, India January 2022 – June 2022

•Assisted in developing ETL workflows for processing structured datasets and performing data cleaning/normalization

•Wrote SQL queries supporting data extraction, transformation, and validation activities

•Supported data quality checks by identifying anomalies and reconciling source and target data

•Prepared analysis-ready datasets for analytics and reporting teams Environment: Python (Pandas, NumPy), SQL, ETL Pipelines, Data Cleaning, Data Validation, Relational Databases Academic Project

Customer RFM Revenue Insights Suite GitHub January 2026 – January 2026

•Built end-to-end customer analytics pipeline in Python with MySQL to compute RFM metrics and segment customers for retention strategies

•Designed an interactive Power BI dashboard with multiple views (Executive Overview, Segmentation, Channel Performance, Discount Analysis), enabling self-serve insights

Privacy-Preserving Housing Burden Prediction Model, Cleveland State University – Strategy for Business Analytics January 2025 – May 2025

•Developed predictive models (Logistic Regression, Random Forest, XGBoost) with Macro F1 and PR AUC metrics, achieving a 15% increase in qualified leads

•Implemented SHAP values for model interpretability, identifying top 3 contributors to housing unaffordability Enterprise Database for Aramark, Cleveland State University – Enterprise Database August 2024 – December 2024

•Designed normalized (3NF) MySQL relational database reducing order processing time by 20%

•Implemented RBAC security and encryption, decreasing breach exposure risk by 60%.

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