Yesha Modi

Results-driven Business Intelligence & Data Analytics professional with extensive experience in Power BI development, Microsoft Fabric, SQL, DAX, ETL, data modeling, and dashboard automation. Skilled in delivering executive reporting solutions, KPI monitoring frameworks, and business intelligence strategies that improve decision-making and operational performance. Experienced in profiling and transforming large datasets, developing management dashboards, and collaborating with cross-functional stakeholders to deliver data-driven business solutions.

Strong analytical, problem-solving, and communication skills with a passion for continuous improvement and business transformation.

Business Intelligence and Data Analysis at SELF EMPLOYED WOMENS ASSOCIATION (SEWA) (2024-09 – 2026-04)

• Designed and developed executive and management-level Power BI dashboards to support strategic decision-making, program monitoring, KPI tracking, and operational reporting.
• Managed data profiling, validation, and quality assessment for 3.2+ million member records, significantly improving data accuracy, consistency, and reporting reliability.
• Cleaned, transformed, and standardized datasets containing 235,000+ records using Power Query, SQL, and Advanced Excel, reducing data inconsistencies and improving reporting quality.
• Built optimized Star Schema data models and developed advanced DAX measures, KPIs, calculated columns, and calculated tables to deliver scalable and high-performance reporting solutions.
• Developed highly interactive Power BI dashboards using: Matrix Visuals, Conditional Formatting, Drill-through, Bookmarks, Tooltips, Dynamic Titles, Slicers, Synoptic Panel Maps
• Standardized and managed multilingual datasets across 3–4 regional languages, ensuring consistent reporting and improved data governance.
• Gathered business requirements from stakeholders and translated them into interactive dashboards and Business Intelligence solutions aligned with organizational objectives.
• Worked extensively with Microsoft Fabric, leveraging Dataflow Gen2, OneLake, Semantic Models, Fabric Workspaces, and Power BI Dashboards to support centralized data management and collaborative analytics.
• Built reusable data transformation pipelines using Dataflow Gen2, improving data preparation efficiency and reducing manual processing.
• Utilized OneLake for centralized storage and management of analytical datasets across reporting solutions.
• Developed and maintained Semantic Models to provide a single source of truth for enterprise reporting and KPI analysis.
• Collaborated with cross-functional teams within Microsoft Fabric Workspaces to develop, publish, and maintain enterprise reporting solutions.
• Implemented Row-Level Security (RLS) to ensure secure, role-based access to sensitive business reports.
• Optimized report performance through efficient DAX calculations, optimized data models, and Power BI Performance Analyzer.
• Automated recurring reporting processes, reducing manual effort and enabling faster business decision-making.

Technical Trainer at TOPS Technologies (2023-07 – 2024-09)

• Delivered instructor-led technical training in Power BI, SQL, Advanced Excel, Python (Pandas & Matplotlib), Data Analytics, and Business Intelligence to graduates and working professionals.
• Designed and developed an industry-aligned curriculum covering Power BI, DAX, Power Query, ETL, SQL, Data Modeling, Dashboard Development, and Data Visualization.
• Conducted hands-on training using real-world business datasets, enabling learners to gain practical experience in data analysis and business reporting.
• Mentored students through end-to-end analytics projects, including data cleaning, transformation, modeling, visualization, and dashboard development, preparing them for industry requirements.
• Guided learners in developing interactive Power BI dashboards featuring KPIs, DAX measures, drill-through, bookmarks, conditional formatting, slicers, and business reporting techniques.
• Trained students on SQL query writing, joins, subqueries, aggregate functions, stored procedures, and database concepts for analytics applications.
• Conducted technical sessions on Advanced Excel, including Pivot Tables, Pivot Charts, Lookup Functions, Power Query, dashboards, and report automation.
• Delivered career-oriented mentoring through resume reviews, mock interviews, aptitude preparation, technical assessments, and portfolio guidance.
• Achieved one of the highest student placement ratios within the organization for Data Analyst and Research Analyst roles.
• Collaborated with placement and academic teams to align training content with current industry requirements and employer expectations.
• Continuously updated training material to incorporate emerging technologies, including Microsoft Fabric, AI-assisted analytics, and modern Business Intelligence practices.
• Recognized with the Best Technical Trainer Award for outstanding technical delivery, learner engagement, and consistent placement performance.

Sr. IT Trainer at Anudip foundation (2022-04 – 2023-06)

• Delivered instructor-led training in Data Analytics, Power BI, SQL, Advanced Excel, Data Visualization, and Employability Skills to prepare learners for industry-ready careers.
• Designed and delivered practical, project-based learning modules covering Power BI dashboards, SQL queries, Excel automation, data cleaning, and business reporting.
• Mentored aspiring Data Analysts through real-world case studies, capstone projects, interview preparation, resume building, and mock interviews.
• Successfully mentored learners who secured Data Analyst positions at leading organizations, including Bank of America, through structured technical and placement-focused training.
• Managed and analyzed institutional datasets using Advanced Excel, Pivot Tables, Pivot Charts, Lookup Functions, and Dashboard Reporting, improving reporting accuracy and operational efficiency.
• Created interactive MIS reports and dashboards to monitor student attendance, learning progress, assessments, and placement performance.
• Conducted career guidance sessions on Business Intelligence, Data Analytics, SQL, Power BI, and emerging industry trends, helping learners understand career opportunities in analytics.
• Coordinated placement activities by collaborating with recruitment teams and industry partners to improve learner employability and placement outcomes.
• Facilitated industry exposure initiatives, including corporate engagement programs, to bridge the gap between classroom learning and industry expectations.
• Worked closely with internal stakeholders to monitor training effectiveness, learner performance, and placement metrics through data-driven reporting.
• Received the Best Trainer Award for outstanding learner engagement, training quality, technical mentoring, and contribution to placement success.

Asst. computer teacher at NVV (2018-11 – 2022-04)

• Managed and analyzed institutional datasets leveraging advanced Excel functions, pivot tables, and interactive reporting dashboards to enhance data-driven insights.
• Supported administrative decision-making by providing accurate data analysis on attendance, fee collection, and academic operations, improving operational efficiency.
• Led digital transformation initiatives to automate and enhance reporting processes.
• Developed Excel dashboards for streamlined attendance tracking and academic reporting.
• Received best teacher award for exceptional teaching methods and student engagement.
• Awarded Best Employee for outstanding performance in technology adoption and continuous process improvements that enhanced institutional productivity.

M.Sc (Science) in Computers – Gujarat University (2018)

BCA - Bachelor of Computer Applications in Computer Applications (General) – Gujarat University (2016)

12th – GSEB Board (2013)

10th – GSEB Board (2011)