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abhishek dharmesh

@abhishekdharmesh

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I build analytics products, forecasting engines, and market intelligence that drive growth decisions.

India

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I've built end-to-end analytics products at Gobblecube Technologies for brands across Amazon, Flipkart, Myntra, Nykaa, and other marketplaces. I work directly with founders and CXO-level clients to turn pricing, advertising, growth, and inventory questions into measurable KPI frameworks and actionable recommendations.

I created a weekly Amazon market-share intelligence engine using scraped marketplace data, internal sales signals, and statistical rank-to-sales modelling. My stack includes Retool, n8n, dbt, AWS services, Snowflake, Dagster, Postgres, and Cursor.

Previously at Blinkit, I built segmentation and forecasting models that reduced refund burn per order by 50%, increased peak-season orders by 10%, and improved FnV new-user conversion by 2%. I also co-founded CatchClues, where I deployed an e-commerce AI chatbot using Mixtral 8x7b and curated specialised SQL and contextual training data.

Experience

Work history, roles, and key accomplishments

Lead Data Analyst

Gobblecube Technologies

Jun 2024 - Nov 2025 (1 year 5 months)

Collaborated with founders and CXO-level clients to translate business goals into measurable KPI frameworks and delivered insight-driven recommendations. Designed and shipped end-to-end analytics products for brands across major marketplaces, including a weekly Amazon market-share intelligence engine.

Retool N8n DBT AWS Snowflake Dagster PostgreSQL Cursor Data Analysis KPI Frameworks Market Intelligence

Co-founder

CatchClues

Sep 2023 - May 2024 (8 months)

Engineered and deployed an AI chatbot for E-Commerce using the Mixtral 8x7b LLM, fine-tuned on a custom dataset. Curated and prepared specialised training data, including E-Commerce specific SQL queries and contextual documents.

AI LLM Mixtral Fine Tuning Data Preparation SQL Ecommerce

Analytics Consultant

Dookan Technologies

Jan 2024 - Apr 2024 (3 months)

Created a demand forecasting model utilising regression to predict daily consumption across fresh, frozen and packaged goods categories from both physical and online stores.

Demand Forecasting regression Data Analysis

Senior Data Analyst

Blinkit - Eternal

Jul 2021 - Aug 2023 (2 years 1 month)

Collaborated with cross-functional teams to address complex business challenges and developed interactive visual dashboards on Re-dash to track KPIs. Engineered a customer segmentation model based on RFM metrics, reducing refund burn per order by 50% and enhancing demand forecasting with festival factors, leading to a 10% increase in orders during peak seasons.

Data Analysis Dashboarding Redash RFM Segmentation Demand Forecasting Basket Analysis Customer Segmentation