Twisha Talukdar

Product Manager

Coventry, England, United Kingdom9 yrs 10 mos experience

AI ML PractitionerAI Enabled

Key Highlights

10 years of expertise in advanced analytics solutions.
Led multiple AI-driven projects at HSBC.
Strong background in machine learning and data analysis.

Stackforce AI infers this person is a Data Science expert with a focus on Fintech and E-commerce analytics.

Contact

Skills

Core Skills

Machine LearningData AnalysisFinancial ForecastingNatural Language Processing (nlp)Business Intelligence

Other Skills

Stakeholder ManagementProblem SolvingBig DataPythonGoogle Cloud Platform (GCP)Deep LearningStatisticsBayesian Gaussian Mixture ModelGenerative AIVoice AnalyticsSpeech RecognitionOptical Character Recognition (OCR)Computer VisionSQLTableau

About

Data Science Lead with 10 years of hands-on expertise in providing advanced analytics solutions across multiple domains. Driven by a strong passion for research, insatiable thirst for knowledge and a knack for solving intricate problems.

Experience

9 yrs 10 mos

Total Experience

3 yrs 3 mos

Average Tenure

Current Experience

Hsbc

3 roles

Assistant Vice President, Data Science

Promoted

May 2023 – Aug 2025 · 2 yrs 3 mos

Member of the Generative AI Centre of Excellence | HSBC
Led and developed advanced analytics and AI solutions focused on customer engagement, outcome recommendation, and process automation for the UK market.
Developed a Dynamic Financial Health Scoring System using the Bayesian Gaussian Mixture Model (BGMM) to assess and segment customer financial wellbeing.
Led projects on transaction categorisation, marketing content generation, and synthetic speech data creation, leveraging Generative AI technologies.
Contributed to Data Science Chapter initiatives to drive capability development, innovation, and knowledge sharing across the organisation.
Actively involved in talent acquisition and recruitment, interviewing data science candidates and mentoring emerging talent.

Stakeholder ManagementProblem SolvingBig DataPythonMachine LearningGoogle Cloud Platform (GCP)+5

Manager, Data Science

Jul 2021 – Apr 2023 · 1 yr 9 mos

Voice Analytics & Speech-to-Text (STT) Capability Lead | HSBC
Leading Voice Analytics and STT capability development and driving innovation across the Data Science community within the organisation.
Developed end-to-end Speech-to-Text and Voice Activity Detection (VAD) models for the Quality Audit Automation project under the UK Intelligent Automation team.
Built NLP-based Information Extraction modules to convert unstructured speech transcripts into structured, analyzable data.
Designed Natural Language Generation (NLG) modules leveraging transaction data to create domain-specific training corpora for language models.
Actively involved in talent acquisition and recruitment, leading data science candidate assessments, interviews, and mentorship initiatives to strengthen analytical capability across teams.

Voice AnalyticsSpeech RecognitionNatural Language Processing (NLP)Machine LearningData Analysis

Assistant Manager, Data Science

Jun 2019 – Jun 2021 · 2 yrs

Global Intelligent Automation | HSBC
Part of the Global Intelligent Automation team, responsible for driving operational efficiency across Finance and Banking Operations through AI and ML-driven automation.
Developed self-service Optical Character Recognition (OCR) and Natural Language Processing (NLP) applications to enable scalable, low-code automation across business functions.
Delivered multiple proofs of concept (POCs) in computer vision, image classification, and data augmentation for process optimization and document intelligence.
Built advanced Speech-to-Text (STT) solutions, including acoustic and language models, Speaker Diarization using Bayesian Gaussian Mixture Models, and Voice Activity Detection (VAD) via unsupervised clustering of MFCC features.
Developed Natural Language Understanding (NLU) models for Quality Audit Automation, leveraging sequence encoders and sentence embeddings for intent and context extraction.
Built Global Anti–Money Laundering (AML) machine learning models and supervised ML credit card acquisition models to support risk and growth objectives.
Conducted organisation-wide training and bootcamps on Computer Vision, Optical Character Recognition, and Speech Analytics to enhance AI literacy and capability development across teams.

Optical Character Recognition (OCR)Natural Language Processing (NLP)Machine LearningComputer VisionData Analysis

Amazon

2 roles

Business Intelligence Engineer

Promoted

Apr 2018 – Jun 2019 · 1 yr 2 mos · Bengaluru, Karnataka, India

Worked on building a loss tree for Amazon Prime Now Inventory, presented POV and project proposals for mitigating losses
Designed an End to End Live Tracking Mechanism for High Value SKUs to prevent network losses and theft
Developed anomaly detection model for customer shipping addresses
Developed a supervised ML model to predict customer frauds and abuses
Part of Machine Learning University of Amazon; developed Book Recommendation Engine as part of the MLU Project

Business IntelligenceData AnalysisMachine LearningSQLTableau

Data Analyst

Apr 2017 – Apr 2018 · 1 yr · Bengaluru, Karnataka, India

Monitoring risks and inventory losses across Amazon.in network by analyzing operational and transactional data as part of the Loss Prevention Analytics Team
Worked on building the data ecosystem for the team, created tables in AWS Redshift cluster and wrote Extract, Transform and Load jobs for easy data availability
Defined KPI(s) to measure shrink and published weekly/monthly business review dashboards and visualizations in Tableau
Built exception reports by identifying operational gaps and process non-compliance
Built a Dynamic Health Index Scorecard for Amazon Fulfillment Centers using experts' model to monitor their performance closely in terms of loss prevention

Data AnalysisSQLTableau

Mu sigma inc.

2 roles

Decision Scientist

Aug 2015 – Apr 2017 · 1 yr 8 mos

Responsible for assisting Financial Planning and Analytics Team of the largest Home Improvement Retailer of US by solving descriptive, inquisitive, predictive and prescriptive problems in a holistic manner and enabling better decision making
Experience in managing and leading a diverse team of 5 members
Driving Weekly and Quarterly Business Reviews with clients to understand business requirements
Providing Short and Long Term Sales Forecast by developing a predictive model with multiple external factors and controllable business inputs
End to end automation of the forecast generation process
Identifying impact and contribution of various factors on sales by building a Sales Driver Model and providing enhanced explainability
Aiding promotion planning optimization through business insights and recommendations
Contributed to MSU (Mu Sigma University) initiatives by co-mentoring new recruits in analytics and problem solving
Part of a team responsible for assisting the Global Marketing team of one of the largest technological corporations of the world and enabling analytical support to various business units and regional marketing teams
Campaign performance measurement framework to aid marketing investment optimization and better campaign planning
Analysis of online behavior of customers for developing efficient targeting strategies
Rationalized and automated report, quality check and dashboard generation
POV for problems spanning multi-touch attribution, path analysis and investment optimization using pattern mining
Responsible for mentoring the new members of our team in both business domain and data handling