Business Analyst Process

SAKSHAT DARNE

240-***-**** ********@***.*** www.linkedin.com/in/sakshat-darne Maryland, USA

Education

University of Maryland, College Park

Master's in Information Systems – CGPA 3.8/4

Rajiv Gandhi institute of technology

B.Eng. in Computer Engineering – CGPA 8.94/10 Aug 2017 - Aug 2022 Experience

Business Analyst Intern, University of Maryland (Comptroller: Capstone) Jan 2024 - Dec 2024

• Led business process analysis and needs assessments to support ERP system migration, aligning IT solutions with business goals.

• Conducted 15+ stakeholder interviews to gather system requirements, producing user stories, use cases, and system specifications.

• Created workflow diagrams, ERDs, UI mockups, and test scripts, identifying automation opportunities that reduced delays by 20% and manual effort by 35%.

• Managed documentation for charters, project schedules, and risk registers, ensuring 100% milestone adherence and successful cross- functional delivery. Modeled and documented business workflows using Visio and Lucidchart, contributing to process optimization initiatives. Facilitated user acceptance testing (UAT) sessions, capturing end-user feedback for system enhancements.

• Conducted cost-benefit analysis and recommended system enhancements that improved data accuracy by 30%.

• Supported testing and deployment cycles, coordinated with technical teams to resolve system inconsistencies and improve user experience.

Graduate Research and Teaching Assistant, University of Maryland Aug 2024- Dec 2024

• Assisted in business process modeling, ensuring accurate documentation and optimization of operational workflows.

• Designed interactive dashboards in Tableau, improving process tracking and analysis by 30%.

• Automated grading and reporting tasks, reducing manual workload by 40 hours per semester. Test Engineer, Hurix Digital, Mumbai Feb 2023 – June 2023

• Delivered application support and troubleshooting for global clients using MySQL, Amazon S3, and JIRA; reduced ticket resolution time by 25%.

• Acted as liaison between business users and tech teams to address system bugs, backend issues, and process gaps.

• Created and maintained technical documentation and workflows, leading to a 20% faster onboarding for new engineers.

• Led a process improvement initiative using gap analysis, increasing operational efficiency by 15%. Projects

Financial Fraud Detection Jan 2024 – May 2024

• Led data analysis and visualization for fraud detection algorithms, achieving over 90% accuracy by utilizing large datasets (6 million rows) in SQL, Tableau, and Python.

• Engineered data pipelines using string indexing and vector encoding for fraud detection models, decreasing false positives by 15% and slashing model training time by 20 hours weekly. Perform data extraction, transformation, and loading (ETL) processes to prepare data for analysis.

• Orchestrated cross-functional alignment between data insights and executive leadership, presenting findings to fix the three biggest causes of data lags in fraud detection algorithms. Supported quality assurance using peer reviews. Analysing Stock Market Reaction Using AI and Machine Learning Aug 2021- May 2022

• Developed a stock market predictive model using LSTM (after implementing ARIMA & SARIMAX) and integrated sentiment analysis (NLP using VADER) from Twitter data. Applied time series forecasting techniques to improve prediction accuracy (87%) and reduce model errors (RMSE: 171).

• Applied advanced statistical modeling techniques, including regression analysis and feature engineering, to enhance model performance and provide more reliable stock price predictions. Integrated ETL operations and Python scripting to process large datasets, building interactive dashboards using Tableau for real-time analysis.

• Implemented advanced feature engineering to achieve 87% prediction accuracy. Familiarity with predictive modeling and machine learning methodologies, similar to those employed by Patterned Learning for code analysis. Skills

Data Analysis & Reporting: SQL, Tableau, Excel, Power BI, Data Visualization. Technical Skills: VBA, Power Automate, Salesforce, MySQL, Python. Project Management: Visio, Timeline Creation, Confluence, Lucidchart, Status Reporting, Requirements Gathering, Use Cases, agile, Waterfall, SDLC, Testing & Debugging, Project Scope Management. Problem-Solving: Data-Driven Insights, Anomaly Detection, Workflow Optimization. Collaboration: Stakeholder Communication, Team Coordination, Client Communication. Forecasting & Fraud Prevention: Predictive Modeling, Anomaly Detection, A/B Testing. Operations Optimization: Workflow Automation, Business Intelligence, KPI Dashboards

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