Neha Jhamb
Bengaluru
Summary
Analytically driven professional with a background in data analysis, adept at optimizing productivity and task efficiency. Specialize in machine learning colutions, bring critical thinking, problem-solving, and teamwork skills to excel in collaborative environments.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Sr. Data Scientist
Axtria India Pvt Ltd
Bengaluru
01.2024 - 09.2024
- Regularized models for Marketing Mix Modeling - L1, L2 norm
- Interaction effects (multiplicative models) - Regression models
- Bias handling, advanced lag models
- Productization of Marketing Mix solution, stakeholder management
- GenAI based chatbot (backend) - using Langchain (RAG architecture)
Data Scientist
Axtria India Pvt Ltd
Bengaluru
01.2022 - 01.2024
- Hierarchical / Mixed effect Modeling
- Budget Optimization for Marketing budget
- Next Best Action Prediction using supervised learning models
- Pathways and Models with business constraints
Associate - Decision Science
Axtria India Pvt Ltd
Gurugram
01.2020 - 01.2022
- Automated asset development (K-Means clustering, KNN, statistical tests like Chi-square test etc.) using PySpark and Python on KNIME
- Drug usage and drug adoption - Predictive modeling using Random forests, XGBoost and Neural Network in Python
- Budget forecasting on time series data
- Trainer for R, Market Mix modeling and optimisation
Data Analyst - Decision Science
Axtria India Pvt Ltd
Gurugram
01.2018 - 01.2020
- Budget optimization using Greedy algorithm in R
- Salesforce Sizing tool as a client deliverable in R & R-shiny
- Web scraping using Selenium
Education
Master of Technology - Data Science
IIIT Delhi
New Delhi, India03-2018
Bachelor of Technology - Computer Science
DAVIET
Jalandhar03-2013
Skills
- Python (Pandas, NumPy, Scikit-learn), R
- Market Mix Modeling
- Regression, Regularization
- Budget Optimisation, Revenue forecast
- NLP
- Generative AI
- MySQL, SQLite
- KNIME
- PySpark
- AWS S3, Elastic Beanstalk
- Data Visualization: Matplotlib, Seaborn, RShiny
- Github
- Microsoft Office Suite
- JupyterLab, Visual Studio, Spyder, RStudio
Accomplishments
- Client retention leading to revenue of 200k (2024)
- Bravo Award for Drug Adoption (predictive modeling) (2022)
- Game Changer Award for Enterprise app on Marketing Mix Modeling, Budget Optimization, Revenue Forecast (2022, 2024)
- Trainer appreciation award (2020 , 2021)
- JRF scholarship, UGC-NET - 99.85 percentile (Computer Science)
- AIR 1888 (top 2%) in GATE (2016)
Publications
- Deep Latent Factor Model for Collaborative Filtering (Mongia et al.,2018)
- Approximate Zero Response Algorithm (Gupta et al.,2012)
Certification
- Machine Learning in Production by Andrew Ng - Coursera
- Neural Networks and Deep Learning by Andrew Ng - Coursera
- Applied Data Science with Python Specialization - Coursera
- Advanced SQL - LinkedIn
- Applied Text Mining in Python, University of Michigan - Coursera
- Elegant automation frameworks with Python and Pytest - Udemy
Languages
Hindi
First Language
English
Upper Intermediate (B2)
B2
Timeline
Sr. Data Scientist
Axtria India Pvt Ltd
01.2024 - 09.2024
Data Scientist
Axtria India Pvt Ltd
01.2022 - 01.2024
Associate - Decision Science
Axtria India Pvt Ltd
01.2020 - 01.2022
Data Analyst - Decision Science
Axtria India Pvt Ltd
01.2018 - 01.2020
- Machine Learning in Production by Andrew Ng - Coursera
- Neural Networks and Deep Learning by Andrew Ng - Coursera
- Applied Data Science with Python Specialization - Coursera
- Advanced SQL - LinkedIn
- Applied Text Mining in Python, University of Michigan - Coursera
- Elegant automation frameworks with Python and Pytest - Udemy
Master of Technology - Data Science
IIIT Delhi
Bachelor of Technology - Computer Science
DAVIET
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