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Data Analyst with 2+ years in Power BI, SQL & AI Automation
Results-driven Data Analyst with 3+ years of experience across SaaS, Insurance, and Product-based (Vending) industries, skilled in Power BI, Excel, SQL, and Python for data analysis, reporting, and automation. Proficient in dashboard development, data cleaning, and performance tracking to deliver actionable business insights. Experienced in SaaS analytics, including building dashboards, tracking user engagement, and supporting data-driven decision-making for enterprise clients. In the Insurance domain, delivered accurate financial and medical eligibility reports, improving efficiency and approval rates through precise data analysis. Currently working in a product-based environment at Vendiman, analyzing vending machine sales, product placement, and category performance to optimize machine-level strategy and maximize margins. Skilled in identifying high-performing categories, improving product availability, and analyzing PO vs GRN gaps to highlight supply shortages and opportunity loss. Demonstrated ability to optimize workflows, ensure data accuracy, and collaborate with cross-functional teams and leadership. Experienced in AI prompting and GPT-based automation, including designing and training AI chatbots to enhance client support and operational efficiency. Led vendor coordination and compliance alignment, reducing operational errors by 20% and ensuring seamless collaboration and audit readiness.
University of Mumbai
Bachelor's Degree in Commerce · Commerce
N/A – June 30, 2022
Maharashtra State Board
Higher Secondary Certificate
N/A – May 31, 2019
Maharashtra State Board
Secondary School Certificate
N/A – May 31, 2017
Vendiman (Vending Business)
Business Data Analyst
March 1, 2026 – Present
India
ICICI Prudential Life Insurance
Associate
July 1, 2022 – July 2, 2023
India
Power BI Developer | Data Analyst – Client: EY (L&D Performance Dashboards)
March 1, 2024 – November 28, 2025
Designed and developed 25+ interactive dashboards for the client "EY", providing data-driven insights to the Head VP of the Learning & Development (L&D) Department to support strategic decision-making. Collaborated directly with client stakeholders to gather business requirements, identify key metrics, and define the analytical parameters to be visualized in Power BI. Performed in-depth dataset evaluation to ensure data completeness, consistency, and alignment with client KPIs before dashboard development. Prepared a detailed Scope of Work (SOW) outlining objectives, deliverables, timelines, and performance metrics, and conducted multiple client review sessions to refine and finalize requirements. Built and implemented Power BI dashboards integrated with live client databases, enabling real-time monitoring of L&D performance metrics, training progress, and user engagement trends. Delivered customized visual analytics that improved the client's reporting efficiency and provided actionable insights to optimize workforce learning strategies. Received positive feedback from client leadership for accuracy, visualization quality, and alignment with business goals. (Company: Violet Infosystem [Software as a Service(SaaS)])
Stockholder Engagement & Business Insights Analyst – LMS Analytics ( EY | Flipkart | Tata | Myntra | Utkarsh Bank etc)
March 1, 2024 – November 28, 2025
Led weekly Business-As-Usual (BAU) calls with multiple enterprise clients including Flipkart CX, Flipkart SX, Myntra, EY, RGIC, and Tata, providing actionable insights on their LMS (Learning Management System) usage, engagement trends, and adoption performance. Developed and presented Insight Dashboards highlighting user activity, course completion rates, and adoption analytics to client L&D departments for informed decision-making. Identified key usage patterns and engagement bottlenecks, delivering data-backed recommendations that improved LMS adoption and user participation across client organizations. Partnered with cross-functional client teams to align engagement strategies with business learning goals and ensure consistent performance tracking. Maintained detailed client-specific engagement reports and visual analytics using Power BI and Excel, showcasing platform utilization trends and ROI on learning initiatives. Recognized by clients for providing clear, insight-driven recommendations that enhanced overall platform efficiency and user experience. (Company: Violet Infosystem [Software as a Service(SaaS)])
AI Chatbot Development Project – OP Jindal (OpenAI GPT Integration)
March 1, 2024 – November 28, 2025
Designed and developed an AI-powered chatbot for the client "OP Jindal", leveraging OpenAI GPT models and the OpenAI Assistant Playground to enhance user interaction and automate client support processes. Engineered custom prompts and conversation flows tailored to client requirements, ensuring context-aware and precise responses from the chatbot. Conducted iterative training and fine-tuning to improve model performance, reduce response ambiguity, and enhance the bot's accuracy by delivering relevant, human-like answers. Collaborated with technical and product teams to define chatbot objectives, user intents, and dataset requirements for efficient implementation. Created testing and validation scripts to assess chatbot behavior, measure user satisfaction, and identify improvement areas for continual enhancement. Delivered a fully functional, prompt-engineered chatbot that improved response accuracy, reduced manual support dependency, and aligned with the client's digital automation goals. (Company: Violet Infosystem [Software as a Service(SaaS)])
Marketing Analytics & Data Operations – Campaign Optimization Project
March 1, 2024 – November 28, 2025
Spearheaded data extraction and segmentation for marketing and sales lead generation using Foundit, LinkedIn Helper, and Shine.com, identifying key decision-makers across top-tier cities to enhance targeting and conversion rates. Executed data cleaning and standardization to ensure LMS compatibility, enabling seamless data ingestion and automated audience creation within the Learning Management System (LMS). Partnered with the marketing team to design precision-targeted email campaigns, increasing lead engagement and campaign efficiency through strategic audience segmentation. Monitored campaign performance using Mailgun, analyzing delivery rates, bounce metrics, and domain health across multiple LMS-integrated domains. Reduced email bounce rates from 27% to 4–5% by automating a bi-weekly bounce cleanup process, significantly improving delivery of critical emails such as login OTPs and assignment alerts. Delivered data-driven performance reports and actionable insights to support management in strategic marketing optimization and decision-making. Enhanced cross-functional collaboration between sales, marketing, and technical teams to maintain high data accuracy, streamline workflows, and align with organizational growth objectives. (Company: Violet Infosystem [Software as a Service(SaaS)])
Data Automation & Accuracy Optimization Project – Marketing & Billing Operations
March 1, 2024 – November 28, 2025
Led data extraction and segmentation for marketing/sales lead generation using Foundit, LinkedIn Helper, and Shine.com to identify key decision-makers across major cities and improve targeting. Performed data cleaning, standardization, and LMS-ready formatting to enable seamless ingestion and automated audience creation in the Learning Management System (LMS). Partnered with marketing to build precision audience groups for email campaigns, resulting in higher lead engagement and campaign effectiveness. Tracked campaign performance in Mailgun, monitoring delivery, bounce rates, and domain health across multiple LMS-integrated domains. Detected and resolved a 27% email bounce issue by implementing an automated bi-weekly bounce cleanup, reducing bounce rates to 4–5% and improving delivery of critical emails (OTPs, assignment alerts). Generated performance reports with actionable insights to support management in data-driven marketing decisions. Collaborated with sales, marketing, and technical teams to maintain data accuracy, streamline workflows, and support organizational growth. (Company: Violet Infosystem [Software as a Service(SaaS)])
System Audit, API Validation & LMS Configuration Analysis
March 1, 2024 – November 28, 2025
Conducted system audits across multiple client environments to ensure data integrity, configuration accuracy, and seamless LMS performance. Performed Excel and database validations to verify data mapping, reporting accuracy, and alignment with client configurations. Reviewed API performance and data flow, resolving configuration and synchronization issues to enhance LMS reliability. Collaborated with clients and tech teams to implement fixes and validate results, maintaining high accuracy and compliance with LMS protocols. (Company: Violet Infosystem [Software as a Service(SaaS)])
Six Sigma (White Belt)
Unknown
June 1, 2026 – Present
Maharashtra Business Training Board (MBTB)
Maharashtra Business Training Board (MBTB)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning L&D performance, LMS analytics, AI chatbot development, and marketing operations, indicates a broad interest and adaptability to various business challenges. Their experience working with multiple enterprise clients (EY, Flipkart, Tata) and in different industry sectors (SaaS, Insurance, Product-based Vending) suggests a strong ability to integrate into diverse organizational cultures and client-facing roles. The focus on delivering actionable insights and improving client/business outcomes aligns well with a results-oriented culture. The candidate's continuous learning (Six Sigma White Belt certification) also points to a growth mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through client interaction, requirement gathering, and presenting insights. Their experience in leading vendor coordination and training, as well as cross-functional collaboration, indicates good teamwork and leadership potential. The ability to identify and resolve operational gaps (e.g., email bounce rates, supply chain inefficiencies) highlights a proactive and problem-solving mindset. The candidate's work in diverse environments (SaaS, Insurance, Vending) suggests adaptability and a strong operational fit for roles requiring analytical rigor and business acumen.