Aditya Sarda

AB test Formulation and analysis helping product team to take decision. Created subscription prediction model, resulting 12% increase in net revenue. Teacher clustering using K means leading to increase in 7% increase in subscription. KPI tracking and insight creation leading to give solutions to improve product.

Spearheaded a 4-member team, overseeing tasks in Demand Forecasting, Inventory Allocation, and Pricing & Product Analytics. Ensured margin integrity through meticulous tracking of Key Performance Indicators (KPIs) and strategic implementation of changes. Proactively analyzed market demand trends via app funnel analysis, driving sales growth through targeted marketing campaigns with cost-effective strategies.

Enhanced Order Growth and Hygiene metrics for merchants, analyzing supply-side dynamics and implementing strategies to increase market share (6% over 3 years). Spearheaded analysis of user growth trends and behaviors, significantly improving retention rates (72% to 76%) and contributing to overall market expansion. Developed and implemented ETL processes, creating derived tables and containerized ETL solutions for swift problem resolution. Creation of reports and dashboards on Tableau, google sheets.

Implemented AI-driven solutions for automating the classification of diverse incoming documents, including invoices, forms, emails, receipts, memos, and letters. Used Paddle OCR (text extraction and boundary box extraction) and then using NLP techniques like stemming, lemmatization, tokenisation, TF-IDF and part of speech tagging to filter out important words and using supervised learning like Sigmoid SVM Classifier and LayoutLMV3 for accurate document classification, achieving higher accuracy. Employed unsupervised learning, specifically word2vec with cosine similarity, to enhance document tags such as domain, image orientation, currency, and quality. Completed Coursework: Deep Learning - CNN, RNN, Logistic Regression, K-Nearest Neighbor Classifiers, Decision Trees, Bayesian Classifier, Linear and Quadratic Discriminant Analysis.

Led a 10-month engagement with the largest pharmaceutical company, successfully developing a standardized model for 16 product-indications across 50 geographies, increasing efficiency & reducing manpower used for consolidation by 15%. Worked in Supply Chain Forecasting, integrating variables such as lead time, safety stock, inventory, and batch size to create comprehensive model.