Turning complex data
into intelligent, reliable systems.
Data scientist and software engineer with 3+ years at Accenture delivering enterprise data migration and workflow automation. With a Master's in Data Science, I now build AI-powered and data-driven products — from LLM-based automation tools to interactive 3D analytics platforms — turning complex data into systems people rely on.
Hi, I'm Darshak.
I am a data scientist and software engineer with over three years of experience delivering large-scale data migration, implementation, and workflow automation for enterprise clients. During my time at Accenture — across the Bath & Body Works migration and internal engineering programs — I orchestrated batch-driven pipelines with Control-M, engineered end-to-end Shell and Linux scripts for legacy-to-modern database migrations, and performed rigorous SQL source-to-target validation, consistently safeguarding data integrity, accuracy, and security throughout the transition lifecycle.
Having completed a Master's in Data Science at Wichita State University, I have extended that engineering discipline into analytics, machine learning, and applied AI. My projects reflect this breadth — from statistical research on national employment data and a data-storytelling case study, to an AI-powered resume-tailoring engine built on the Claude and Gemini APIs with ATS optimization, and an interactive 3D healthcare analytics platform engineered with WebGL — each shipped with modern tooling and CI/CD.
My growth is grounded in continuous learning, supported by professional certifications in Power BI, Data Ingestion with Python, Data Visualization, Robotic Process Automation, and Cybersecurity Compliance & Frameworks.
Above all, I value accuracy, clarity, and building data systems people can genuinely trust.
Tools I work with daily
The core tools behind my data migration, automation, and analytics work.
Full breadth of my toolkit
A blend of engineering, data, AI, and enterprise automation capabilities.
Programming & Scripting
AI & Generative AI
Data & Analytics
Web, APIs & 3D
Visualization & Reporting
Cloud, DevOps & Scheduling
Automation & Enterprise
Core Concepts
Where I've made an impact
Enterprise-scale engineering across migration, automation, and operations.
- Executed and monitored batch-driven data workflows using Control-M to support enterprise-scale processing.
- Developed and optimized Shell scripts to reduce batch latency and improve throughput.
- Configured job schedules, dependencies, and recovery procedures to ensure stable data flow.
- Analyzed batch performance metrics and resolved execution failures through root-cause analysis.
- Implemented client-specific data migration solutions aligned with technical and business requirements.
- Collaborated with cross-functional teams and documented workflows for long-term maintainability.
- Developed end-to-end Shell and Linux scripts for large-scale legacy-to-modern database migrations.
- Performed SQL-based source-to-target validation to ensure data accuracy and completeness.
- Automated recurring migration tasks, significantly reducing manual effort and operational risk.
- Identified and resolved data inconsistencies during migration verification phases.
- Utilized Java backend processes within Docker containers to validate transformation logic and maintain processing stability.
- Generated migration status, performance, and audit reports while ensuring data security, compliance, and access control.
- Built foundational expertise in enterprise application development tools and frameworks.
- Analyzed application and operational data to identify trends and performance indicators.
- Prepared analytical and status reports to support management decision-making.
- Supported project planning and execution through data-driven documentation.
- Managed Learning Management System (LMS) platforms and maintained operational data accuracy.
- Applied data modeling techniques to analyze learner engagement and performance metrics.
- Monitored budgets, tracked expenses, and prepared detailed financial reports.
- Supported senior management through accurate reporting and documentation using Microsoft Office 365.
Selected data work
Applied projects across data engineering, analytics, AI-powered automation, and interactive 3D.
Kansas Board of Regents Survey
Analyzed National Survey of College Graduates (NSCG) data to compare employment outcomes of community-college starters against state and university students.
- Evaluated wage levels, job types, and employment status to identify potential career or wage penalties across education pathways.
- Cleaned and harmonized multi-year NSCG datasets — resolving schema differences, handling nulls, and removing high-missing-rate variables.
- Filtered implausible values, winsorized salary data, and conducted EDA on salary distributions and inflation-adjusted trends.
- Performed statistical hypothesis testing and descriptive regression summaries to quantify group differences over six survey years.
Storytelling Case Study — Airbnb, NYC
Conducted comprehensive exploratory data analysis on New York City Airbnb listings and applied data storytelling to turn complex insights into clear, actionable narratives.
- Analyzed NYC Airbnb listing data to identify patterns, trends, and operational opportunities.
- Applied data storytelling techniques to translate complex insights into clear, actionable narratives.
- Developed two audience-specific presentations — one for data-analysis leadership, one for acquisitions, operations, and UX teams.
- Delivered strategic insights supporting data-driven decisions for NYC-focused business units.
AI-Powered Resume Tailoring & Job Data Engine
An automated pipeline that parses unstructured resumes, aligns candidate data to job-description schemas, and re-frames content for ATS optimization using large language models.
- Architected an automated data pipeline that parses unstructured resume files (PDF/DOCX) and maps candidate entity data against target job-description (JD) schemas.
- Integrated Claude and Gemini APIs for semantic text extraction, skill-gap analytics, and dynamic re-framing of resume bullet points for ATS (Applicant Tracking System) optimization.
- Accelerated development with Claude Code CLI and Cursor AI for modular script generation, automated data validation, and JSON schema enforcement.
- Deployed the live application via GitHub-to-Vercel CI/CD, with custom DNS managed through GoDaddy for production release.
Interactive 3D Healthcare Analytics & Diagnostic Platform
An interactive 3D web platform for pharmaceutical data visualization — letting users explore diagnostic tests and human anatomy, with blood-test parameters, doctor availability, and appointment workflows.
- Engineered an interactive 3D web platform for pharmaceutical data visualization, enabling users to explore structured medical diagnostic tests and human anatomy data.
- Built backend API integration to process, map, and render diagnostic blood-test parameters, doctor-profile availability, and appointment-scheduling workflows.
- Leveraged Cursor AI and Claude Code CLI to streamline WebGL state-management logic and optimize large 3D asset payload delivery.
What I'm learning now
Actively deepening my skills in modern data engineering, analytics, and AI — turning today's research into tomorrow's production systems.
Foundations & certifications
Wichita State University
Jan 2024 — Dec 2025Python · Machine Learning · EDA · SQL · Data Analysis · Model Deployment · AWS · Advanced Data Storage · Power BI
Lovely Professional University
Aug 2017 — Aug 2021Foundation in electronics, systems, and analytical problem-solving.
Certifications
Microsoft Power BI
Mar 2025Building interactive dashboards and reports with data modeling and DAX for business intelligence.
Data Ingestion with Python
Jan 2025Collecting, cleaning, and loading data from files, APIs, and databases into analysis-ready pipelines.
Learning Data Visualization
Feb 2025Principles of effective visual storytelling — choosing the right charts and designing clear, honest visuals.
Robotic Process Automation
Nov 2023Designing and deploying software bots to automate repetitive, rule-based business processes.
Cybersecurity Compliance & Frameworks
Nov 2020Security compliance standards, governance frameworks, and risk-management fundamentals for enterprise systems.
Let's build something data-driven.
Open to Data Science, Data Engineering, and Analytics roles. I'd love to hear about your team and the problems you're solving.
— or reach me directly —