Data Analyst

Keerthana Vella

***************@*****.*** +1-551-***-**** www.linkedin.com/in/keerthana-vella/

EDUCATION

New Jersey Institute of Technology Sep 2023 – Dec 2024 Master’s in Management Science

EXPERIENCE

Data Analyst: Project C.U.R.E April 2025 –Present

• Analyzed inventory and product usage data to identify trends, support forecasting, and optimize demand planning for medical kits across 7 warehouses.

• Monitored stock levels and evaluated supplier performance and logistics timelines, ensuring timely kit supply and improving operational efficiency.

• Maintained and cleaned CRM data, collaborated with Kits volunteer teams to enhance product tracking and reporting systems, and developed visualizations and reports to support data-driven decisions. Data Analyst Intern: VSLN International Inc March 2025 – April 2025

• Collected, cleaned, and transformed large datasets from financial, CRM, and operational systems; analyzed data using Excel (pivot tables, VLOOKUPs, macros) and SQL to extract insights and support decision-making.

• Built and maintained interactive Power BI and Tableau dashboards to visualize KPIs, trends, and performance for technical and non-technical stakeholders; delivered ad-hoc reports and supported data governance efforts.

• Automated reporting workflows, documented analytics processes for transparency, and collaborated with cross- functional teams in agile environments using JIRA for task tracking. Product Engineer: Temenos India Private Limited Aug 2021 – Jun 2023

• Optimized system onboarding and upgrades, reducing downtime by 20% and boosting efficiency.

• Facilitated agile ceremonies (sprint planning, retrospectives), improving retail and credit operations with 15% automation gains.

• Applied data processing for regulatory compliance, supporting risk mitigation and liability analysis.

• Enhanced SWIFT MT/MX validation, cutting transactional errors by 15% and improving accuracy.

• Managed T24 Core Banking projects, improving asset management and efficiency by 25%.

• Diagnosed and resolved software issues, reducing production failures by 40%.

• Translated user needs into technical specs, refining sprint planning, and backlog execution.

• Acted as Business Analyst on a front-end modernization project; fixed UI/UX gaps using data lake insights and improved cross-platform usability.

Software Development Engineering Trainee: Hubstream India Private Limited Mar 2021 – Jun 2021

• Improved platform reliability by identifying and fixing 15% more software bugs, significantly reducing downtime. Applied agile methodologies throughout the development cycle, ensuring 100% milestone completion in product sprints.

• Engineered the Aadhaar Management System using the .NET Framework, expanding the product portfolio with enhanced data integrity and accessibility. Contributed to building a Hubstream-based investigative case management platform, integrating case management, reporting, analysis, and workflows into a unified solution. SKILLS

• Project Management: Jira, Kanban, Stakeholder Management, Risk & Lifecycle Management, Sprint Planning

• Databases & Code Repositories: SQL Server, MySQL, Oracle, Git, GitHub

• Programming Languages: C, C++, Python, Java, C#, .NET Framework

• Data Analytics/Visualization: Tableau, Power BI, Excel, Looker, Business Intelligence, Data Extraction, Data Analysis, Data Integration, Machine Learning.

• Environments: SDLC, Agile, Scrum, Linux

• Cloud: AWS

• Banking & Finance: T24 Transact, Market Analysis, Compliance, SWIFT Messages PROJECTS

Strategic Financial & Data Analysis for Business Optimization September 2023 – December 2024 Master’s-Level Projects Accounting Finance Financial Modeling Financial Technology Data Integration Supply Chain & Product Management

• Developed financial technology models using Excel (Solver, VBA, Pivot tables), SQL, and SAP to analyze financial statements, including balance sheets, income statements, and consolidated reports for USPS and Johnson & Johnson

(J&J). Assessed cost structures and financial efficiency, identifying opportunities for a 15% reduction in expenses through optimized expense tracking, budget planning, and financial forecasting strategies.

• Constructed predictive models in Python, applying Monte Carlo simulations and risk-return analysis to forecast Apple Inc.’s stock performance. Analyzed key financial growth drivers, market analysis, competitive advantages, and associated risks, estimating a 12-18% increase in stock valuation over the next fiscal year.

• Extracted real-time financial datasets from 5+ financial websites using SQL queries on an SQLite database, integrating structured data into Tableau and Power BI dashboards. Designed interactive reporting and data analytics models to support real-time analytics, enhancing financial monitoring capabilities and improving decision-making efficiency by 10%.

• Spearheaded product lifecycle management and supply chain optimization efforts for Kart2Go, leveraging SAP, SQL, and Power BI to streamline procurement workflows and enhance vendor coordination. Implemented data-driven demand forecasting and predictive analytics, incorporating the 3-Echelon Model to optimize inventory distribution across suppliers, warehouses, and retailers, forecasting a 20% reduction in procurement delays and improving supply chain responsiveness.

• Established a responsibility matrix framework within JIRA, integrating product roadmap planning, agile methodology, workflow automation, and forecasting techniques to improve cross-functional collaboration. Enhanced project transparency and accountability by reducing project ambiguity by 25%, ensuring seamless task delegation, dependency tracking, and lifecycle management for efficient product development.

• Led the Green Future Project, applying MS Project, Gantt Charts, and Six Sigma principles to track milestones, allocate resources, and conduct a feasibility study for Organic Plastic Solar Cells. Performed an in-depth SWOT analysis, assessing market expansion potential, sustainability benefits, and adoption feasibility, projecting a 30% increase in adoption rates compared to conventional solar technologies. CERTIFICATIONS

• Certified Business Analysis Professional(CBAP) from HRDC Professional.

• Microsoft Certified Fabric Data Engineer

• AWS Machine Learning Certification – Coursera

• Bloomberg Market Concepts Certification (BMC)

ACHIEVEMENTS

• Finalist: Aerial Traffic Monitoring using UAVs for Smart India Hackathon

• Semi-Finalist: AICTE IICDC-2019 for Plastic Solar Cells Innovation (Texas Instruments)

• Awarded: Dr. Kalam’s Young Achiever Award (World Youth Federation) EXTRA-CURRICULAR ACTIVITIES

• Coordinated IEEE events as an NDLI Club Member, fostering collaboration & technical engagement

Contact this candidate