Oct 2024 – Jul 2025 · 9 mos · Mumbai, Maharashtra, India · On-site

• As a Senior Data Analyst at Tyaani (a luxury jewellery brand by Karan Johar), I help the team make faster, data-backed decisions across inventory, sales, and customer engagement.
• 🔹 Built automated reports to track weekly sales and inventory trends, reducing manual effort by 80%
• 🔹 Created regional performance dashboards to help marketing and operations teams identify buying trends and regional variations
• 🔹 Analysed high-ticket item performance to uncover pricing and conversion insights, improving average transaction value
• 🔹 Collaborated with merchandising, warehouse, and retail teams to optimize stock movement and improve inventory turnover at each store
• 🔹 Tech stack: SQL, Python, Excel, Looker Studio, Gati (ERP Software)

Apr 2023 – Sep 2024 · 1 yr 5 mos · On-site

• At Candere, I led data efforts for the retail vertical, enabling better decision-making through real-time dashboards, automation, and cross-functional reporting.
• 🔹 Developed dashboards for the Product team to help identify emerging product trends and performance gaps
• 🔹 Rebuilt and validated large datasets using SQL and Python, ensuring clean and reliable data for all reporting use cases
• 🔹 Built a unified performance dashboard for non-technical teams, reducing reliance on ad hoc reports
• 🔹 Trained new analysts on tools, best practices, and data visualization techniques
• 🔹 Collaborated with Operations, Product, Marketing, Sales, and Tech teams on key cross-functional projects
• 🔹 Tech stack: SQL, Python, Jupyter, GCP, Postman

Apr 2022 – Mar 2023 · 11 mos · On-site

• I began my full-time journey at Candere by taking ownership of foundational data tasks that directly supported business and automation teams. This role helped me build confidence with SQL, reporting tools, and cross-functional communication, laying the groundwork for the senior analytics responsibilities I would take on later.
• 🔹 Collaborated with business and marketing teams to understand data requirements and translate them into structured reports
• 🔹 Designed and documented early-stage data models that were later used to automate communication workflows
• 🔹 Developed SQL queries and Excel reports for weekly updates on product performance and inventory health
• 🔹 Worked closely with the automation team to gather requirements and build logic for triggers and broadcast campaigns
• 🔹 Built the first iteration of performance dashboards for non-technical teams — simplifying reporting across functions
• Tools: SQL, Excel, Google BigQuery, Looker Studio, Postman

Aug 2021 – Mar 2022 · 7 mos · On-site

• As an intern, I was introduced to real-world data in a fast-moving e-commerce environment. I worked alongside senior analysts, supporting them in data cleaning, reporting, and basic analytics. It was the role that sparked my passion for turning data into actionable insights.
• 🔹 Assisted in cleaning and organizing raw sales and product data for analysis
• 🔹 Conducted QA on data pipelines and dashboard outputs to ensure accuracy
• 🔹 Documented internal data processes and learned the fundamentals of automation logic
• 🔹 Supported senior analysts in exploring tools like WebEngage, Google Analytics, Nosto and Klevu
• 🔹 Built basic visualizations and presented weekly learnings to the analytics team

Jan 2021 – Jun 2021 · 5 mos · Goregaon, Maharashtra, India

• As an engineering trainee at Powerflex Industries, I had the opportunity to work on streamlining inventory systems for hydraulic hose assemblies and fittings. This hands-on role gave me valuable exposure to inventory planning, warehouse operations, and data-backed decision-making.
• 🔹Studied existing inventory flow and identified key gaps in part traceability and stock accuracy.
• 🔹Applied FIFO principles, which helped reduce rejections in plated fittings by over 5%.
• 🔹Conducted ABC and FSN analysis on critical components to prioritize stocking and reordering schedules.
• 🔹Suggested layout improvements and implemented part tagging to reduce retrieval time and minimize picking errors.
• 🔹Used EOQ-based logic to recommend more efficient purchasing cycles and control excess stock.
• 🔹Supported monthly audits and ERP reconciliation to improve reporting accuracy and reduce manual mismatches.
• 🔹Gained practical exposure to production-floor processes like skiving, crimping, and hose assembly.

Jun 2020 – Feb 2021 · 8 mos · Mumbai, Maharashtra, India · On-site

• As Production Manager of Team DJS Cycloid, I led the manufacturing efforts for our human-powered trike that competed in the ASME Human Powered Vehicle Challenge (HPVC) 2019, hosted at Marwadi University, Rajkot. This international competition challenged student teams to design, build, and race sustainable, safe, and efficient pedal-powered vehicles under real-world constraints.
• 🔹Oversaw fabrication of a recumbent trike using tubular steel framing, precision drivetrain assembly, and Ackermann-style steering geometry
• 🔹Coordinated cross-functional teams across design, aerodynamics, and safety to ensure compliance with ASME engineering standards
• 🔹Managed workshop execution, material procurement, and daily production schedules under tight deadlines
• 🔹Introduced quality checks and supervised load and dry-run testing to ensure readiness before race day
• 🔹Gained practical insight into end-to-end engineering execution, teamwork, and decision-making under competitive pressure
• 🔹Though we didn’t place in the top ranks, our participation alongside top institutions in a global ASME event was a milestone and a turning point in how I approached structured problem-solving and execution.

Dec 2017 – Dec 2017 · 0 mo · Khar Road (East)