Data Analyst

HARSHITH BABU MARTHA

****************@*****.*** +1-443-***-**** Baltimore-Washington, DC Area Open to Relocation SUMMARY

Data Analyst / Data Scientistwith 5+ yearsturninglarge, messy datasetsinto production ML models,executive BI, and clear business answers. Deep SQL, Python, and cloud-datafluency acrossAWS, GCP, Snowflake, and Databricks.Works natively with AI coding assistants(Copilot, Cursor, Claude)toaccelerate analysis and delivery. TECHNICAL SKILLS

Languages & Core:Python (pandas, NumPy, scikit-learn,OOP), SQL, PL/SQL, Git, Docker, VBA ML, Stats & GenAI:XGBoost, Random Forest, LogisticRegression, KNN, ARIMA/SARIMA, A/B testing, hypothesis testing, causal analysis, LLMs, RAG, prompt engineering, text classification, entity extraction AI-Assisted Workflow:GitHub Copilot, Cursor, Claude,ChatGPT; Tableau AI, Power BI Copilot; LLM-assisted data extraction Data & Cloud:ETL/ELT, dbt, dimensional modeling,pipeline observability, AWS (S3, Lambda, Redshift), GCP (BigQuery, Vertex AI), Databricks, Spark, Snowflake

Analytics & BI:Dashboard development, metrics design,funnel & cohort analysis, executive storytelling; Tableau, Power BI, Looker; PostgreSQL, MySQL

PROFESSIONAL EXPERIENCE

Data Strategy & Insights Analyst - Dare to Dream Inc.Feb 2025 – Feb 2026 Remote (Lanham, MD)

• Owned outreach response ML scoring end-to-end(scikit-learn,pandas, NumPy), from feature design throughA/B testing frameworks; lifted campaign conversion 22% and emailopen rates 18%, delivered as reusable Python modules consumed directly by product teams.

• Led redesign of production Python/SQL ingestionacrossCRM, REST API, and outreach-platform sources; appliedOOP and modular patternsto move logic off scripts into areusable package, cutting manual reconciliation 45%. Accelerated build with GitHub Copilot, Cursor, and Claudeacross Python,SQL, and dbt.

• Built dbt-aligned ELT layers(staging intermediate mart) onRedshift and BigQuery; improved queryperformance 28% and reduced cloud compute spend 18% via partitioning, clustering, and cost-aware design. Implemented pipeline observability across 10+ sources, sustaining 96% reliability.

• Delivered executive Power BI dashboardson outreach,fundraising, and regional performance, usingPowerBI Copilotfor faster iteration; ranfunnel and cohort analysesthataccelerated leadership decision cycles 30% and cut reporting inconsistencies 40%.

Business Intelligence Analyst - Flexera Global Inc.Jan 2024 – Jan 2025 Remote (Sugar Land, TX)

• Owned forecasting for a $100M+ portfoliousingARIMA,SARIMA, and XGBooston revenue and usage data; liftedforecast accuracy 15% and informed commercial planning with drift monitoring across quarterly refreshes.

• Drove BI adoption across Sales, Finance, and OperationsthroughPower BI dashboards, SQL analytical models,and governance frameworksover 250K+ enterprise transactions;raised stakeholder trust 40% and eliminated 30% of reporting delays.

• Built Spark pipelines on Databricks and Snowflakeintegrating enterprise sources into curated marts; cut reporting latency 80% and appliedLLM-assisted NLP (prompt-engineeredwith Claude and ChatGPT) and text classificationto pull structured signals from unstructured financial notes, boosting extraction accuracy 12%. Business Data Analyst - Learnispire Inc.Jul 2022 – Dec 2022 Hyderabad, India

• Built churn/engagement ML models and Tableau dashboardsacross acquisition, engagement, retention, and monetization; increased retention 18% and feature adoption 20%, standardized 5+ source systems, and informed 3+ feature rollouts.

• Ran A/B tests on 40K+ user recordsto validate producthypotheses; translated findings into storyline-driven recommendations for product and marketing stakeholders, lifting engagement 15%. Data Analyst - Techigai Private Limited Jan 2020 – Jun 2022 Hyderabad, India

• Architected SQL data marts and ETL pipelinesfor themarketing stack across campaign, acquisition, and engagement analytics; reduced manual reconciliation 40%, improved query performance 32% via indexing and automated validation, and cut reporting turnaround 28%.

• Built Power BI dashboards and propensity models(LogisticRegression, KNN) for customer segmentation; deliveredcohort, funnel, and channel-attribution analyses that drove monthly executive reviews and shaped campaign strategy.

• Scaled foundational analytics infrastructurethatdownstream BI and ML work ran on; established validation frameworks later adopted team-wide, maintaining 99% data accuracy.

EDUCATION

M.S., Information Systems- University of Maryland, Baltimore County (Baltimore, MD)• B.Tech., Electronics & Communication Engineering- JNTU (Hyderabad, India)

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