Hi, I’m
Aishwarya Mukherjee
Data Scientist
Kolkata
Summary
Results-driven Data Scientist with a strong focus on developing and deploying machine learning algorithms that generate actionable business insights. Skilled in conducting independent research to uncover innovative problem-solving strategies and implementing applications that elevate customer engagement and understanding. Committed to leveraging data-driven approaches to drive strategic decision-making and foster business growth.
Overview
1
Certification
8
years of professional experience
Work History
Nielsen Media
Senior AI/ML Engineer
05.2025 - Current
Job overview
- Developed an in-house computer vision solution for ad detection from 24-hour streams across 1,400 USA channels, saving £14 million, and successfully replacing the legacy Htech solution. Utilized pHashes, dHashes, and audio embeddings from ResNet-50 to achieve highly accurate, scalable ad identification.
- Integrated Explainable AI (XAI) frameworks—including SHAP, LIME, PDP, and deep explanations—to provide robust model interpretability and transparency for stakeholders.
- Engineered a predictive model using Prophet to forecast corrected spend and impressions from daily occurrence data uploaded by BIS, benchmarking performance against industry standards, like IAB and eMarketer. Performed detailed Prophet component analysis and coefficient extractions.
Barclays
Assistant Manager, AI/ML Model Validator
06.2022 - 02.2023
Job overview
- Developed a challenger model for credit card fraud detection, enhancing accuracy by 20% with AUR-PRC of 0.93.
- Directed the Barclays Hackathon 2024 team to a finalist position, creating DORA (conversational AI) for automated banking document retrieval, and minimizing manual effort by 90%.
- Engineered AutoML tool that automates data analysis and EDA for any set of data uploaded, and saves time by more than 70%.
- Chosen as finalist among 1,000 applicants in Barclays' women in tech program. Worked on real-time anomaly detection project for daily profit and loss as data scientist. Streamlined operations by automating anomaly detection, minimizing reliance on VP judgment.
- Led the validation of AI/ML models, ensuring accuracy and compliance with industry standards.
- Developed comprehensive testing frameworks for AI models, improving validation efficiency and effectiveness.
- Mentored junior validators, fostering skill development and enhancing team productivity in model validation.
- Utilized advanced statistical tools and programming languages to analyze model outputs and identify anomalies.
- Participated in strategic initiatives to improve AI/ML model governance and validation practices.
Barclays
Software Engineer
03.2021 - 06.2022
Job overview
- Developed iOS applications for the Barclays SVC App, focusing on the credit card platform for U.S. citizens, using Agile methodology for GAP partners.
- Developed scalable applications using the Swift framework, enhancing system performance and user experience.
- Implemented CI/CD pipelines using Jenkins, streamlining release processes and reducing deployment times.
- Conducted code reviews and mentoring sessions, fostering a culture of quality and continuous improvement within the team.
- Analyzed system requirements and collaborated with cross-functional teams to design robust software architectures.
- Participated in troubleshooting sessions, identifying root causes of issues and enhancing system reliability.
- Documented technical specifications and user guides, supporting knowledge transfer and onboarding processes for new developers.
- Refactored legacy codebases for improved maintainability, paving the way for easier future updates.
Johnson Controls
Associate Software Engineer
08.2018 - 02.2021
Job overview
- Developed workplace app RBC Companion to support COVID-19 safety protocols and enhance user experience.
- Engineered incident identification system using NLP for Technovate, achieving finalist recognition in 2019 and securing patent for 'Building System with Automatic Incident Identification Using NLP.'
Education
University of Texas At AustinTexas
Master of Science from Data Science
04-2026
University Overview
- 3.4 GPA/CGPA
RCC Institute of Information TechnologyKolkata
BTech from Information Technology
07-2018
University Overview
- 8.2 GPA/CGPA
Skills
Machine learning
Deep learning
Predictive modeling
Model deployment
Programming languages – Python, R, and Swift
Libraries – Pytorch, PiML, Scikit, Keras, Tensorflow, ggplot, numpy, seaborn, scikit, huggingface, PyPI, pandas, matplotlib, tqdm
Cloud platforms
Agile methodologies
Team leadership
Accomplishments
▪ EUCC student achievers of 2011 by Electro
Urban Cooperative Limited for boards.
▪ Patent :Title: “Building System with
Automatic Incident Identification using NLP”.
This patent tries to find BMS issues from text
complaints uploaded by user on app.
Certification
ICAgile Certification (credentials: 239-29628- eef88d72-b5dd-4c32- b170-97425226ce7a)
Timeline
Senior AI/ML Engineer
Nielsen Media
05.2025 - Current
Assistant Manager, AI/ML Model Validator
Barclays
06.2022 - 02.2023
Software Engineer
Barclays
03.2021 - 06.2022
Associate Software Engineer
Johnson Controls
08.2018 - 02.2021
University of Texas At Austin
Master of Science from Data Science
RCC Institute of Information Technology
BTech from Information Technology