Headline

Data Analyst | Operations & Inventory Management | Advanced Excel, SQL, Power BI | Shopify, Browntape, Delhivery | Sales, Inventory & SKU Analytics | Dashboarding, Reporting & Business Insights

About

Transforming operational and sales data into a clear, decision-ready insight defines the way my work creates value. Exposure to e-commerce operations, analytics, and backend development has instilled a grounded, execution-focused perspective on data, where accuracy, structure, and business relevance take precedence over theory or abstraction. Experience spans e-commerce analytics, inventory control, sales performance reporting, and system-level data handling. Day-to-day responsibilities have included working with SQL-driven datasets, advanced Excel models, and dashboard frameworks that surface trends at SKU, order, and platform levels. Alongside analytics, hands-on software development experience using Laravel Lumen strengthened understanding of backend workflows, data pipelines, and system dependencies allowing closer alignment between operational data sources and analytical outputs. Working across Shopify, Browntape, and Delhivery environments provided direct exposure to how data flows through catalogs, orders, logistics, and customer touchpoints. This operational context shapes an analytical approach that prioritizes clean data, consistent definitions, and reporting structures that leadership can trust. Whether preparing daily trackers or year-over-year dashboards, the focus remains on enabling faster, clearer business decisions. Key Achievements & Capabilities 🔹 Built structured sales and operational dashboards, improving visibility into revenue, fulfillment, and SKU performance. 🔹 Delivered order-level and inventory insights supporting catalog accuracy and demand planning decisions. 🔹 Developed year-over-year performance dashboards that informed strategic actions and profit growth initiatives. 🔹 Applied advanced Excel techniques and SQL querying to clean, transform, and analyze multi-source datasets. 🔹 Supported e-commerce operations through consistent reporting across sales, returns, and customer order behavior. 🔹 Strengthened analytical storytelling through executive-ready reports and presentation decks. The next phase centers on deepening expertise within e-commerce analytics and business intelligence roles where data ownership, insight quality, and measurable business impact remain the primary drivers of professional growth. https://farseen007.github.io/FarseenAhammed.github.io

Location

Bengaluru

AI stack

claude

notebooklm

openai

sora

claudecode

ChatGPT

Work experience

Data Analyst at KNEETOES, Dec 2024 - Present · 1 yr 10 mos, Bengaluru, As an E-commerce Operations & Inventory Manager at KNEETOES, I oversee end-to-end digital commerce operations across owned and marketplace platforms. The role spans sales data analysis, inventory accuracy, order lifecycle management, and performance reporting, with a strong focus on translating operational data into clear business insights for leadership decision-making. Achievements: ✅ Led daily e-commerce operations across Shopify, Browntape, and Delhivery, improving order flow reliability by enforcing structured tracking and validation processes. ✅ Executed sales data collection and consolidation, enabling accurate daily and weekly performance reporting through structured Excel-based datasets. ✅ Analyzed SKU-level sales trends and customer order patterns, supporting informed decisions on inventory planning and catalog prioritization. ✅ Built and maintained operational dashboards in Excel, SQL and Power BI, increasing leadership visibility into sales performance and fulfillment metrics. ✅ Strengthened catalog accuracy by introducing validation checks across platforms, reducing data mismatches between systems. ✅ Developed a year-over-year sales dashboard that supported strategic decisions, contributing to profit growth from ₹5 crore to ₹9 crore. ✅Utilized CRM tools such as OptCulture, Bitespeed, and QuickReply to manage customer interactions, track queries, and broadcast promotional campaigns and ads to customers.

Inventory Manager at KNEETOES, Dec 2024 - Present · 1 yr 10 mos, Analyzed sales data, customer orders, and SKU performance using SQL and Excel to support business decisions. Built and maintained interactive dashboards (Excel & Power BI) to track KPIs such as revenue, order trends, and product performance. Performed trend analysis and variance analysis to identify fluctuations in sales and operational performance. Extracted, cleaned, and consolidated data from Shopify, Browntape, and Delhivery for reporting and analysis. Conducted customer behavior analysis (repeat purchases, order trends) to support retention and marketing insights. Performed basic RFM-style analysis (recency, frequency, order value) to identify high-value customers. Supported A/B-style and comparative analysis by evaluating performance across campaigns, time periods, and product changes. Conducted pre-post analysis to measure the impact of operational and promotional changes. Implemented data validation checks to improve data accuracy across systems. Utilized Python (Pandas – basic level) for exploratory data analysis and data cleaning. Automated recurring reports using Excel (Power Query, Pivot Tables), improving reporting efficiency. Collaborated with cross-functional teams to improve workflows and resolve operational issues.

Software Developer at Bpract Software Solutions LLP, Apr 2024 - Aug 2024 · 5 mos, Kozhikode, Kerala, India, As a Software Developer at Bpract Software Solutions LLP, I worked on backend application development using Laravel Lumen, supporting API development, feature implementation, and system maintenance for client-facing solutions. The role required close alignment with functional requirements and hands-on development in a production environment. Achievements: ✅ Developed backend functionalities using Laravel Lumen, supporting scalable API-driven application architecture. ✅ Implemented business logic and application workflows using Artisan commands and modular service structures. ✅ Assisted in debugging and resolving backend issues, improving application stability during development cycles. ✅ Supported database interactions and API integrations to ensure reliable data flow across application components. ✅ Followed structured development practices to deliver features aligned with project requirements and timelines.

Data Analyst intern at Soften Technolgies, Feb 2023 - Jul 2023 · 6 mos, Kochi, Kerala, India, As a Data Analyst Intern at Soften Technologies, I gained hands-on experience in data analysis, reporting, and insight generation. The role focused on working with structured datasets, preparing analytical outputs, and supporting business presentations through clear data narratives. Achievements: ✅ Performed data cleaning and preparation to improve dataset readiness for analysis and reporting. ✅ Conducted exploratory data analysis to identify trends, patterns, and summary insights from business datasets. ✅ Created analytical summaries and visual outputs to support internal reviews and client presentations. ✅ Assisted in preparing reports and slide decks, translating analytical findings into structured narratives. ✅ Strengthened foundational skills in data interpretation, reporting accuracy, and analytical thinking.

Education

Data Science, Newton School

Bachelor of Engineering - BE, Computer Science, Anna University Chennai

Public links

linkedin.com: https://www.linkedin.com/safety/go/?url=https%3A%2F%2Ffarseen007%2Egithub%2Eio%2FFarseenAhammed%2Egithub%2Eio%2F%23contact&urlhash=8_MR&mt=pzxNHOOlhMHTm725diUAgS6kw0t4QX7px_P0SNZufQE8AaghfZDL7oegunkopkpzCy2eINVoJ1mc-UtpAkxJgyTXmb_a&isSdui=true

github: https://github.com/Farseen007