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Ishika Kadam

@ishikakadam

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I build data products and experiments that improve growth, retention, risk decisions, and customer experiences.

India

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What I'm looking for

I'm looking to apply data science, experimentation, and machine learning to product, growth, customer experience, or risk problems where measurable business impact matters.

At CoinDCX, I build segmentation and propensity models for acquisition, growth, and business analytics. My K-Means futures segmentation improved silhouette score by 50%, while XGBoost cross-sell models achieved 0.84+ AUC and lifted targeted adoption by 30%.

At Uber, I worked across Customer Obsession and Payments Risk, designing metrics, root-cause analyses, experiments, and risk models. My simulation-based underpayment detection rules had the potential to save $2.5M per month in arrear support costs.

I've also co-authored PiCaZo, a zero-shot semantic segmentation framework accepted at the CVPR 2025 Workshop, and built projects spanning deep learning, satellite imagery, and real-time face mask detection.

Experience

Work history, roles, and key accomplishments

Current

Business Analyst - Acquisition, Growth & Business Pod, Analytics

Current

CoinDCX

Jul 2025 - Present (1 year 2 months)

Developed a futures user segmentation model using K-Means clustering, improving silhouette score by 50% over baseline segmentation, powering CLM strategies to optimize retention and LTV. Built cross-sell propensity models using XGBoost, achieving 0.84+ AUC and driving a 30% lift in targeted product adoption versus rule-based targeting enabling personalised interventions in the crypto ecosystem.