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CBRE
Data Scientist
June 13, 2026 – Present
End_end_end_mlops_pipeline_Flight_Price_pred
June 23, 2025 – July 1, 2025
A complete End to End ml pipeline starting from data ingestion till model training, logging and a prediction end point using fast api, built using python, orchestrated using airflow and mlflow for model logging
View ProjectCacheBase
May 27, 2025 – June 15, 2025
A distributed, memory database, supporting RESP (redis serialization protocol), data streams, key value pairs
View ProjectIndia_legal_QA_Bot
February 5, 2025 – February 5, 2025
India_legal_QA_Bot — GitHub repository
View Projectkavyasharma_portfolio
January 22, 2025 – July 21, 2025
kavyasharma_portfolio — GitHub repository
View Projectexp-mongo-auth
January 11, 2025 – January 19, 2025
An npm package for a one step solution to handle custom auth in a MERN app using express and mongoDB, with features like domain access, signup/login, forget/reset password and email verification
View ProjectSkyNetMEC
June 23, 2023 – Present
This repository contains an implementation of a UAV-based task offloading model using the Multi-Agent Deep Deterministic Policy Gradient (MADDPG) reinforcement learning algorithm.
View ProjectUAV-path-planning-for-optimum-coverage
January 18, 2023 – June 25, 2023
UAV trajectory planning for optimum coverage of devices in a uav based network using deep deterministic policy gradients
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal technical exploration and development, particularly in machine learning and system design. The diversity of projects, from UAV path planning to MLOps pipelines and distributed databases, suggests a proactive and curious individual. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess collaborative cultural fit. The target role is Data Scientist, which aligns well with the candidate's ML-focused projects.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a focus on technical implementation.