PARNEET KAUR
Bebo Technologies
4
years of professional experience
Hands-on Data Scientist with 4 years of experience delivering end-to-end data analytics and machine learning solutions. Experienced in developing predictive models, performing data analysis, and supporting business initiatives across forecasting, customer analytics, and reporting while collaborating with cross-functional teams. Proficient in Python, SQL, Scikit-learn, Power BI, and cloud-based analytics tools to drive data-informed business decisions.
Work History
Data Scientist
9 Months- AI-powered Resume Screening & Candidate Matching System:
- Developed an AI-powered Resume Screening and Candidate Matching System using Python, LangChain, OpenAI API (LLM), and Retrieval-Augmented Generation (RAG) to automatically match candidate resumes with job descriptions and streamline the recruitment process.
- Built an end-to-end document processing pipeline using PyMuPDF and Pandas to extract, clean, preprocess, and structure text from PDF resumes for downstream NLP tasks.
- Generated semantic embeddings using Sentence Transformers and stored them in a FAISS vector database to enable efficient semantic search and similarity-based candidate retrieval.
- Implemented a RAG pipeline with LangChain to retrieve relevant resumes from the vector database and leverage an LLM to generate candidate summaries, explain skill matches, identify missing qualifications, and assign relevance scores.
- Developed RESTful APIs using FastAPI to expose resume screening and candidate matching functionalities for seamless integration with frontend applications.
- Designed an interactive recruiter dashboard using Streamlit that enabled users to upload job descriptions, rank candidates based on semantic similarity, and review AI-generated hiring recommendations.
- Applied SQL to manage candidate metadata, recruiter information, screening results, and application records, ensuring data integrity.
Data Scientist
2 Years 11 Months- Progressed through roles: Data Analyst → Junior Data Scientist
- Acted as NLP and ML SME, advising stakeholders and contractors on solution design while leading a BERT/topic-modeling knowledge extraction system that reduced manual review effort by 70% (BERT, topic modeling)
- Developed medication-class-based diagnosis prediction models, supporting patient identification for guideline-based therapy and downstream business decision-making (PySpark, Machine learning, Python, SQL)
Data Analyst
7 Months- Built healthcare ML models for cost forecasting, disease progression, surgical infection risk, and patient outcomes across multi-million-patient clinical and claims datasets. (Python, SQL, TensorFlow)
- Delivered high-performing predictive models, including cost-of-care forecasting across ~2M patients and disease-risk prediction across ~1.4M kidney and heart patients (Neural Network, AWS, Python, shell script, SQL)
- Productionized recurring training, scoring, and data pipelines using Python, SQL, Airflow, and AWS; also improved ETL data flow efficiency by 75% across client data sources. (Airflow, production Pipeline, system design)
- Delivered pharma commercial analytics across sales force optimization, patient behavior, treatment switching, and campaign performance, improving sales performance by 11% through physician-level analysis across 10K doctors.
- Designed A/B testing and patient-regimen analyses across 45K patients to evaluate treatment performance and uncover switching/cannibalization patterns across drug portfolios.
Education
M.S. Business Analytics - Data Science
Btech - Computer science engineering
Skills
Personalization & Recommendation Systems
Ranking
A/B experimentation
ML: Deep learning
PyTorch
transformers
XGBoost
Supervised & Unsupervised Learning
Feature Engineering
Model Evaluation
Hyperparameter Tuning
Model Optimization
Production ML infrastructure: real-time inference
feature pipelines
model lifecycle
LLM and AI: Embeddings & semantic search
RAG
Vector Databases
tool-calling
Big data: Spark
scalable feature engineering
ETL Pipelines
Data Cleaning
Data Wrangling
Databricks
Feature Pipelines
Cloud & tooling: AWS
GCP
Vertex AI
DataBricks
SageMaker
Redshift
DynamoDB
Redis
Elasticsearch
Languages: Python
SQL
R
Business Intelligence: Tableau
Power BI
R (ggplot2)
Python (Matplotlib
Seaborn
Plotly
interactive)
Excel
Timeline
Data Scientist
Bebo Technologies
11.2021 - 08.2022Read More
Data Scientist
Devoint Technologies Pvt Ltd
11.2018 - 10.2021Read More
Data Analyst
Code-brew Labs
03.2018 - 10.2018Read More
University of NJCU
M.S. Business Analytics from Data Science
Read More
College of Guru Nanak Dev
Btech from Computer science engineering
Read More