Sania Qamar

AI Researcher

Bengaluru, Karnataka, India12 yrs 9 mos experience

Highly StableAI Enabled

Key Highlights

Over 8 years of experience in AI and machine learning.
Led GenAI initiatives for BFSI AI Lab at TCS.
Expertise in building scalable ML systems.

Stackforce AI infers this person is a Full-Stack Data Science Professional specializing in AI and Machine Learning for the BFSI sector.

Contact

Skills

Core Skills

Machine LearningNlpModel DeploymentPythonData AnalysisSql

Other Skills

Large Language Models (LLM)Natural Language Processing (NLP)Model Deployment · End-to-End ML OwnershipTransaction EnrichmentPython (Programming Language)Statistical Data AnalysisData AnalyticsGen AIApplied Machine LearningProduct DevelopmentTime Series ForecastingCross-functional CollaborationsProduction PlanningDeep LearningResearch

About

I’m a full-stack data science professional with over 8 years of experience leading the end-to-end delivery of AI and machine learning solutions, from research and prototyping to production and large-scale deployment across global markets. Experienced in building large-scale decisioning pipelines, financial data intelligence models, and automated data quality frameworks. Currently leading GenAI initiatives (LLM agents, zero-shot classification, RAG workflows) for BFSI AI Lab at TCS. Previously managed and scaled a global financial data enrichment platform used across the US, CA, AU, NZ, and UK markets. Focused on building reliable, scalable ML/GenAI systems that reduce manual effort and improve data accuracy. 🔹 Core Expertise: Machine Learning | NLP | Generative AI | LLMs | RAG | LangChain | Hugging Face | OpenAI API | MLOps | AWS | Financial Data System

Experience

Tata consultancy services

Senior Data Scientist BFSI AI Lab

Dec 2022 – Present · 3 yrs 3 mos · Bengaluru · Hybrid

Large Language Models (LLM)Natural Language Processing (NLP)Machine LearningNLP

Envestnet | yodlee india

3 roles

Senior Data Scientist

Sep 2022 – Nov 2023 · 1 yr 2 mos

Model Deployment · End-to-End ML OwnershipTransaction EnrichmentMachine LearningModel Deployment

Data Scientist

Feb 2020 – Sep 2022 · 2 yrs 7 mos

Machine LearningPython (Programming Language)Python

Lead Data Sciences

Jul 2017 – Feb 2020 · 2 yrs 7 mos

Statistical Data AnalysisSQLData Analysis

Aditya imaging information technologies

Research Assistant

Jul 2014 – Jul 2017 · 3 yrs · IIT Bombay

Developing Algorithms for Histopathology and Image Analysis
The project deals with the computerized processing of digital histopathology images acquired through
microscopy for preclinical toxicology studies related to the pharmaceutical industry.
Made company visits and based on information provided by pathologist, experimenting with various
techniques to detect abnormality in the organ.
Segmented various parts of Adrenal gland.
Further algorithms to be applied on Thyroid gland and Prostate.

Data Analytics

Iit bombay

Masters Student

Jul 2014 – Jun 2017 · 2 yrs 11 mos

M.Tech. Project: Transform Invariant Dictionary Learning
(Guided by Prof. Ajit Rajwade and co-guided by Prof. Suyash Awate)
May’16 - till date
◦ Discriminative dictionary learnt using mutual information as criteria with accuracy above 95% on
digits dataset.
◦ Developed a model in which bases are learnt in such a way that classification task is invariant to
translation and rotation.
◦ Trying to modify KSVD algorithm for achieving invariance in sparse image modelling.

Jamia millia islamia

Graduate Student

May 2012 – May 2013 · 1 yr

Sarfaraz Masood, Sania Qamar, Zuha Khan "Gabor Filter Based Automatic Vehicle Classification Using Neural Network, April 2013". Paper published in Proceedings of the 2nd National Conference on Advancements in the Era of Multi Disciplinary Systems - AEMDS 2013 in collaboration with Elsevier, 945-950.
Features were extracted using Gabor filter bank followed by classification using multilayer Neural network
into categories viz. car, truck, motorbike.
Successfully achieved good classification accuracy of about 88 %.