Inflection.io

Building the Al stack that will shape the future of B2B Marketing Automation

Data Scientist

MetaMap

- Optimized Operational Costs: Time Series Forecasting of Agent Headcount, ensuring SLA compliance and cost-efficient staffing.
- Enhanced Predictability: Modeled BandWidth Requirements using Salesforce data and historical traffic patterns to ensure reliable traffic management.
- Improved Platform Performance: Developed dashboards and data models tracking key KPIs, leading cross-functional teams to enhance user journeys and service reliability.

Embibe

- Adaptive Practice Enhancement: Developed an XGBoost Regression Model and a Spark Pipeline to tag and calibrate question difficulty based on student attempts.
- Automated Tagging: Fine-tuned Large Language Models on an academic corpus to create a classifier recommending concepts from 60,000+ Knowledge Graph Nodes, reducing manual tagging effort.
- Predictive Modeling: Deployed an LSTM Model (DKT) to predict student correctness probability, using Knowledge Graph Embeddings to improve interpretability.
- Dashboard and Notifications: Led the Growth Team in creating dashboards with Data Engineering and partnering with Marketing for effective notification delivery.

Question Difficulty Level Prediction ( Supervised Learning )

Data Science Intern

I love solving problems and creating value. Whether through significant projects or incremental improvements, I'm committed to generating value in all my work.

Taplio

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Taplio

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Brijesh Parmar's Linkedin Analytics