Jun 2023 – Dec 2023 · 6 mos · Delhi, India · On-site

• Led product development for AI‑driven agritech tools that turned agronomic data into usable guidance for farmers and partners after promotion from Data Analyst.
• Key Responsibilities & Leadership:
• Led a 6‑person cross-functional team across engineering, operations, and field partnerships for discovery, design, and go‑to‑market.
• Designed and launched the Soil Doctor Dashboard, combining soil chemistry, climate data, and IoT streams into a simple interface for non‑technical users.
• Ran discovery with field teams and farmers to identify adoption gaps and convert feedback into product changes; mentored juniors on scope and prototyping.
• Led migration of workflows to AWS, improving data sync for 40+ soil‑testing devices while maintaining reliability and integrity.
• Created documentation, checklists, and pre‑release routines that reduced bottlenecks and clarified ownership across the team.
• Impact Delivered:
• The Soil Doctor Dashboard improved practices across over 3,000 acres, helping more than 2,000 farmers save ₹10,000–₹15,000 per season and increase yields by 15–25%. Drove field adoption by onboarding 500+ farmers in one month via partnerships. The work strengthened Ekosight’s market credibility and investor confidence, earning the “Versatile Innovator of the Year” award for its contributions to product architecture and backend design.

Jun 2022 – May 2023 · 11 mos · Delhi, India · On-site

• Built data pipelines and analytics that supported product design and farmer adoption, analysing 1M+ village‑level soil profiles across India.
• Key Responsibilities:
• Designed and maintained Python and SQL pipelines to clean, validate, and structure large soil, climate, and operational datasets.
• Built Tableau and internal dashboards that visualised soil and crop patterns for field teams and non‑technical stakeholders.
• Developed machine learning–based recommendation systems for crop‑soil matching and nutrient optimisation.
• Partnered with engineering and product teams on data architecture to keep datasets reliable and ready for product use.
• Impact Delivered:
• Generated insights that guided Soil Doctor product decisions and enabled real‑time farmer recommendations. Standardised data processes that cut manual entry and reporting time, creating a scalable base for later product iterations.

Mar 2022 – May 2022 · 2 mos · Delhi, India · On-site

Nov 2022 – Dec 2023 · 1 yr 1 mo · Delhi, India · On-site

• Launched and ran a D2C e‑commerce business, owning product, operations, and marketing across the customer journey.
• Key Responsibilities & Leadership:
• Led end‑to‑end e‑commerce operations, aligning product, supply chain, marketing, and support around a single customer experience.
• Built a Shopify store from scratch, improving information architecture, checkout flow, and product pages to reduce friction and raise conversion.
• Ran SEO and digital marketing campaigns, using performance data to grow organic traffic and new customer acquisition.
• Managed inventory, logistics, and fulfilment to keep orders accurate and on time.
• Set up automation for email marketing and customer communication to scale operations without adding headcount.
• Impact Delivered:
• Increased organic traffic by 43%, customer engagement by 27%, and customer acquisition by 30%, while lowering manual workload through automation. Improved site speed and performance, directly lifting user experience and cart conversion. Establish operating routines that support long-term growth.

Aug 2022 – Dec 2023 · 1 yr 4 mos · Delhi, India · On-site

• Co-founded a consumer brand aimed at reducing food adulteration and improving transparency in everyday food products.
• Key Responsibilities:
• Co-owned business strategy, product positioning, and go‑to‑market planning.
• Designed supply chain flows to facilitate quality checks and ensure traceability.
• Led digital acquisition and brand-building campaigns.
• Coordinated sourcing, operations, and customer-facing work across a small team.
• Impact & Learning:
• Although the venture ended after operational and structural constraints became clear, it sharpened the understanding of how trust, transparency, and process discipline drive sustainable consumer businesses. Built experience in handling ambiguity, making trade‑offs, and maintaining stakeholder confidence under pressure, skills later applied in product roles.

Mar 2022 – May 2022 · 2 mos · Jammu & Kashmir, India · On-site

• Supported a SERB VRITIKA–funded project on renewable energy forecasting and feasibility using large climate and energy datasets.
• Key Projects & Contributions:
• Project 1: Wind Power Estimation Using Machine Learning
• Evaluated 6 ML models (Gradient Boosting, XGBoost, MLP) on standard and custom data pipelines.
• Processed 1.05M wind turbine records with outlier handling and validation.
• Improved baseline accuracy from R² = 0.723 to 0.988 and cut MAE from 169.6 to ≈34 (~2x accuracy gain).
• Combined turbine and meteorological data to enable turbine‑level power predictions and operational insights.
• Project 2: Climate Benchmarking for Solar & Wind Feasibility Analysis
• Ran multi‑year climate comparisons across 5 districts (Kathua, Samba, Jammu, Udhampur, Reasi).
• Analysed temperature, wind, and solar irradiation profiles to inform site selection.
• Assessed wind potential at 50m and 80m in 7 districts, using Indian Wind Atlas mesoscale outputs as benchmarks.
• Project 3: Tangdhar Solar Project Analysis
• Analysed 2 years of solar generation and climate data to improve microgrid reliability.
• Provided recommendations for a stable, clean energy supply to Simari village, J&K.
• Project 4: SPV & Wind Power Forecasting (SERB-Funded)
• Applied ML models to improve SPV and wind power forecasts.
• Worked on handling uncertainty in renewable energy prediction.
• Impact Delivered:
• Produced feasibility and forecasting analyses that informed large-scale renewable energy planning across Jammu & Kashmir and contributed to peer-reviewed outputs and conference presentations.

May 2021 – Apr 2022 · 11 mos · Jammu & Kashmir, India · On-site

• Worked on applied machine learning projects in plant recognition, cardiac risk prediction, and disease detection from biometric signals.
• Key Responsibilities:
• Built end‑to‑end ML pipelines for classification and prediction problems.
• Performed feature engineering, model selection, tuning, and cross‑validation.
• Evaluated 5+ deep learning architectures for use cases such as electrical load forecasting in Northern India.
• Wrote up methods and results with academic rigour for potential publication.
• Impact Delivered:
• Achieved 90–97% accuracy across plant leaf recognition, heart disease prediction, and COVID‑19 cough detection tasks. Produced findings that improved forecast reliability and informed next‑step research.

Nov 2016 – Jul 2019 · 2 yrs 8 mos · Jammu & Kashmir, India · Hybrid

• Founded a sneaker and apparel dropshipping venture in school, learning core e‑commerce, customer, and supply chain operations.
• Key Responsibilities & Execution:
• Customer Discovery: Built an organic customer base via WhatsApp and Instagram, relying on word‑of‑mouth across friends, extended networks, and colleagues.
• Supplier Coordination: Identified and negotiated with manufacturers in China and Vietnam; set basic quality checks before shipping to buyers
• Customer Service & Fulfilment: Defined return and refund policies; handled queries, complaints, and delivery issues directly.
• Operations & Marketing: Rented a small space for high‑demand inventory; shot product photos; managed orders and shipping across India with some international deliveries.
• Impact Delivered:
• Ran the business for nearly 3 years, serving customers in most Indian states and abroad. Built supplier relationships, basic operating processes, and repeat customers in a low‑margin category, gaining practical experience in negotiation, quality control, and service.
• Why it Concluded:
• Shut down operations when further scaling required capital and deeper capabilities, and shifted focus to engineering studies. The experience reinforced comfort with execution, problem-solving, and ownership in real-world business settings.