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

Brijesh Parmar's Linkedin Analytics

Brijesh Parmar

Want to drive more opportunities from LinkedIn?