Mohammed Rizwan Nagauri

Eirsun Limited / Rajesh Machines India LLP (Same ownership group) Mullingar, Ireland (Remote) / Rajkot – India (On-site) Mar ‘23 – Nov ‘25 Commercial Analyst – Solar Projects  Conducted feasibility analysis and ROI modeling for 25+ solar projects (100kW-15MW) totaling €45M+ in project value using Excel financial models  Built cost optimization models analyzing CapEx, OpEx, capacity utilization, and vendor pricing data, identifying 15-18% cost reduction opportunities  Analyzed international pricing trends on solar components from China, Europe, US, and India, identifying 12% cost arbitrage opportunities  Delivered executive-ready business cases combining technical specifications with 25-year financial projections, achieving 80% proposal-to-approval conversion rate Finance & Operations Analyst – Manufacturing Division  Built Power BI dashboards with optimized data models and DAX measures to track MTD/YTD sales, expenses, and margins across 3 business units for leadership reporting.  Designed and maintained Google Sheets–based financial trackers for inter-BU bank reconciliation, payments, sales, purchases, and expense categorization.  Automated finance workflows using ARRAYFORMULA, FILTER, and IMPORTRANGE to dynamically consolidate data across multiple Google Sheets and entities.  Implemented dependent dropdowns for expense categorization (category → sub-category) using validation logic, improving data accuracy and consistency.  Analyzed expense patterns and identified ₹800K in unnecessary costs (EMIs, card charges, non-essential OpEx), improving gross margins from ~32% to ~38%.  Produced monthly leadership reports summarizing revenue, purchases, expenses, and variance analysis to support operational and budgeting decisions.

 Built ETL pipelines and dashboards in Power BI tracking 13 user engagement and transaction KPIs for 290K+ active users, using DAX time intelligence and row-level security  Performed sentiment analysis on 500K+ SMS interactions using Python, identifying top 10 customer pain points that informed product roadmap decisions  Led 6-member analytics team delivering recurring and ad-hoc analysis requests monthly with 98% on-time SLA performance  Trained new team members on workflows, data quality best practices, improving team efficiency and output quality

 Managed end-to-end product lifecycle for 8 FMCG products generating ₹5M in annual export revenue  Collaborated with clients to translate requirements into product specifications and marketing positioning.  Evaluated product costing and production feasibility, supporting commercial viability and margin planning.  Coordinated with internal teams to deliver products within agreed timelines and quality standards.

 Managed multiple interior fit-out projects with budgets ranging from AED 1M to AED 5M, ensuring cost control, compliance, and timely delivery.  Gathered the project scope requirements from stakeholders and preparation of Project documents.  Obtained necessary approvals from management, Dubai Municipality and Dubai Civil Defence for 20+ projects.  Led cross-functional coordination across design, procurement, and execution teams.

• Designed, implemented and enhanced national marketing initiatives to maximize outreach and sales of FMCG products. • Planned new product external launch and release while managing cross-functional implementation of plan. • Briefed senior executives on monthly projections, product launches and other marketing plans. • Transformed corporate website and social media platforms to better engage customers and promote sales. • Ensuring Product Label Approval from Dubai municipality for cosmetic products.

• Functioned with a team of 21 members to provide Windows based troubleshooting services to Netherlands based clients. • Overseeing the performance against SLA’s on a daily basis and implanting effective action to avoid potential breaches.

• Oversaw back-end development using Microsoft .Net framework to maintain website integrity, security and efficiency.

The Post Graduate Program in Data Science with ML and AI aims at equipping students with the tools, techniques and skills to enable a seamless absorption into the domain of Analytics and grow into the roles of Data Scientists. Praxis thus focuses on offering its students a comprehensive analytics experience, a deep-dive that ensures extensive coverage, rigor and hands-on lab-work in the following: i) Technology Skills. ii) Statistical Modeling and Analytical Skills. iii) Applying analytics to business situations. iv) Communication and Visualization Skills.

Graduated with Specialization in Network Management