Siddhant Pardhe

1. Owned end-to-end delivery of Microsoft Fabric–based analytics architecture, building scalable data pipelines in Azure Cloud - driving real-time decision-making across supply chain, marketing, and finance. 2. Led the development of 15+ automated Power BI dashboards, unifying data from 15+ sales channels (Amazon, Nykaa, Flipkart, Myntra, Pantaloons, Enrich, Shoppers Stop) to provide strategic visibility into revenue trends, inventory efficiency, and category performance. 3. Acted as the analytics point-of-contact for senior leadership, proactively identifying business-critical metrics, aligning cross-functional stakeholders, and translating data insights into executive-ready narratives for revenue optimization and planning. 4. Engineered CAC (Customer Acquisition Cost) and ROAS (Return on Ad Spend) models, enabling marketing and finance leaders to make spend vs. revenue tradeoffs and improve ad efficiency by 20% across D2C and marketplace campaigns. 5. Took ownership of complex, undefined business challenges by designing scalable data frameworks from the ground up—collaborating with cross-functional teams to identify key pain points, streamline reporting workflows, and align stakeholders around data-backed performance goals.

i. Designed and managed cloud-native pipelines using Azure Data Factory, streamlining ingestion from diverse sources including REST APIs and webhooks. ii. Built real-time inventory dashboards to optimize supply chain operations, improving inventory turnover by 25%. iii. Collaborated directly with business leaders across Marketing, CRM, and Growth to align data infrastructure with campaign KPIs, resulting in more agile experimentation and quicker time-to-insight. iv. Developed a multi-touch attribution model, increasing marketing campaign efficiency.. Optimized cross-selling & upselling strategies, resulting in a 17% revenue uplift from repeat buyers.

i. Designed scalable ETL pipelines using SQL & Python (Pandas, NumPy), improving data processing time by 40%. ii. Built CLV (Customer Lifetime Value) models to identify high-value customers, increasing repeat purchases by 22%. iii. Implemented SQL-optimized data warehousing, ensuring data consistency across 15+ sources. iv. Automated order fulfillment tracking, reducing late shipments by 28%.

i. Built real-time inventory tracking systems, optimizing supply chain efficiency. ii. Developed price elasticity & revenue optimization models, increasing profit margins by 15%. iii. Built end-to-end Fabric pipelines combining Spark notebooks and KQL views, allowing for real-time and historical analysis in a single reporting layer iv. Automated supply chain forecasting, reducing procurement costs. v. Created a data-driven loyalty & retention model, boosting repeat purchases by 20%

i. Developed social media & influencer analytics dashboards, linking engagement metrics to actual sales conversion. ii. Implemented marketing mix modeling (MMM) to optimize digital ad spend across platforms, increasing ROI. iii. Automated data pipelines for campaign performance tracking, cutting manual effort by 50%. iv. Built unified, cloud-native data models in Fabric that harmonized data from marketing, sales, and supply chain — reducing data silos and ensuring consistent KPI tracking across departments. v. Enhanced A/B testing frameworks, improving ad performance through data-backed decision-making.

i. Utilized Vinculum Database and SQL to manage and analyze large datasets, focusing on inventory updates, ensuring data accuracy and real-time tracking of stock across multiple locations ii. Conducted in-depth analysis of customer behavior, sales trends, and marketing campaigns, identifying key opportunities for business optimization and improving conversion rates iii. Led the daily financial reporting process for inventory, delivering comprehensive reports to stakeholders and ensuring alignment across teams regarding stock levels, turnover rates, and financial metrics iv. Designed and developed interactive dashboards in Power BI to visualize complex data, providing stakeholders with easy-to-digest insights to aid in strategic decision-making v. Delivered precise sales forecasting and weekly analysis at the SKU and warehouse levels, enabling more efficient inventory planning and reducing stockouts or overstock situations

i. Provided comprehensive technical support to international clients, including Teleperformance and Austria Ltd., for web applications and systems ii. Utilized data analysis software and Grafana for real-time traffic monitoring, proactively identifying and addressing performance bottlenecks and system anomalies iii. Maintained effective communication with clients via email, ensuring timely resolution of issues and providing regular updates on progress iv. Leveraged CRM tools like HubSpot to manage client interactions, track support requests, and maintain detailed records of issue resolutions and client feedback v. Applied CCNA background skills to troubleshoot and resolve complex networking issues, enhancing overall customer success and satisfaction vi. Successfully managed and resolved ad hoc technical issues within strict deadlines, improving client satisfaction and maintaining strong relationships vii. Enhanced customer success by applying advanced technical skills, leading to a 60% reduction in recurring issues and increased efficiency in support operations viii. Fostered positive client relationships through consistent and effective communication, resulting in 20% higher client retention rates and improved service feedback