May 2025 – Jan 2026 · 8 mos · Pune District, Maharashtra, India · On-site

• Results-driven Power BI Developer / Data Analyst with hands-on experience in designing, developing, and deploying end-to-end BI solutions for the e-commerce and business analytics domains. Strong expertise in Power BI, DAX, Power Query, SQL, and Excel, with a proven ability to transform complex datasets into actionable insights that drive business performance.
• 🔹 Business Intelligence & Data Strategy
• Developed BI solutions for e-commerce operations, including sales, profitability, returns, and ad performance analytics.
• Collaborated with business users, operations, and marketing teams to translate requirements into scalable BI dashboards.
• 🔹 Data Analysis, Modelling & Visualisation
• Designed interactive Power BI dashboards with advanced DAX for KPIs such as revenue, net profit, ROAS, ACOS, AOV, CTR, CVR, and return rate.
• Built optimised data models using star schema principles to ensure performance and accuracy.
• Delivered SKU/ASIN-level insights across Amazon, Flipkart, and Shopify platforms.
• 🔹 ETL & Data Engineering
• Developed ETL processes using Power Query, SQL, and Excel, handling large transactional datasets.
• Integrated data from Amazon Seller Central, Flipkart reports, Shopify, SharePoint, and flat files.
• 🔹 Automation & Optimization
• Automated reporting workflows with scheduled refreshes and standardised datasets.
• Optimised DAX calculations and data models to improve report performance and usability.
• 🔹 Advanced Analytics & Performance Tracking
• Performed trend analysis, YoY/MoM comparisons, and variance analysis for business monitoring.
• Analysed ad spend efficiency, conversion performance, and return patterns to support marketing optimisation.
• Built actionable KPIs for inventory health, profitability, and campaign performance.
• 🔹 Collaboration & Delivery
• Supported stakeholders with data-driven insights for pricing, inventory, and marketing decisions.
• Ensured data accuracy, documentation, and best practices across BI assets.

Aug 2024 – Sep 2024 · 1 mo · India · Hybrid

• Assisted in data collection, cleaning, and preprocessing using Python.
• Performed exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Built and evaluated basic machine learning models for classification and regression tasks.
• Worked with Python libraries such as Pandas, NumPy, Matplotlib, and Scikit-learn.
• Created data visualisations and reports to communicate insights to stakeholders.
• Collaborated with team members to understand business problems and translate them into data-driven solutions.
• Documented workflows, findings, and model results.

Jun 2023 – Jun 2024 · 1 yr · Pune District, Maharashtra, India

• As a Power BI Developer, my responsibilities involved
• Developed interactive Power BI dashboards and reports
• Cleaned and transformed data using Power Query
• Created DAX measures for KPIs and analysis
• Integrated data from SQL Server, Excel, and SharePoint
• Published reports and managed Power BI Service
• Implemented Row-Level Security (RLS)
• Scheduled data refresh using Power BI Gateway
• Optimised report performance

Jan 2022 – Dec 2022 · 11 mos · Chakan, Maharashtra, India · On-site

• My Responsibilities are
• Prepared and maintained daily, weekly, and monthly MIS reports related to production, dispatch, downtime, and performance.
• Collected data from multiple departments and ensured data accuracy and consistency.
• Tracked KPIs such as productivity, efficiency, delays, and material status.
• Maintained Excel-based dashboards and reports for management review.Assembled, wired, and tested control panels as per electrical drawings and specifications.
• Worked with PLC panels, MCC panels, VFD panels, and automation control systems.
• Performed panel testing, troubleshooting, and fault rectification.
• Ensured proper labelling, wiring standards, and safety compliance.
• Coordinated with design and commissioning teams for panel installation and testing.
• Supported machine commissioning and panel commissioning at the site.
• Ensured compliance with industrial electrical and safety standards.

Sep 2020 – Dec 2021 · 1 yr 3 mos · Pune District, Maharashtra, India · On-site

• Gained hands-on experience in Low Pressure Die Casting, Gravity Casting, and Sand-Casting processes while working in the Moulding Department to support production of high-quality automotive and industrial components. I worked as part of the moulding department with my team.
• Ensured quality assurance and quality control for automotive components in line with Alicon quality standards.
• Conducted in-process and final inspections to identify defects and ensure dimensional accuracy.
• Performed root cause analysis (RCA) for rejections and implemented corrective & preventive actions (CAPA).
• Monitored defect rates, rejection levels, and rework to improve overall product quality.
• Maintained quality documentation, inspection records, and SOP compliance.
• Coordinated with production and manufacturing teams to resolve quality issues and reduce process variation.
• Supported continuous improvement activities to minimise defects and improve process efficiency.
• Ensured adherence to automotive quality requirements and internal audit standards

May 2017 – Mar 2019 · 1 yr 10 mos · Pune District, Maharashtra, India · On-site

• Responsible for monitoring and ensuring product quality by performing regular inspections, audits, and testing as per defined standards.
• Analysed defects, root causes, and quality deviations using structured problem-solving techniques (RCA, 5 Whys).
• Collaborated with production, operations, and cross-functional teams to implement corrective and preventive actions (CAPA).
• Maintained and updated quality documentation, SOPs, checklists, and inspection reports.
• Tracked quality KPIs such as defect rate, rework, rejection percentage, and process efficiency.
• Conducted process improvement initiatives to reduce errors, wastage, and non-conformances.
• I want to ensure compliance with quality standards and internal guidelines.
• Prepared daily/weekly quality reports and shared insights with management.
• Supported continuous improvement by identifying process gaps and recommending data-driven solutions.