Summary
Overview
Work history
Education
Skills
Websites
Accomplishments
Timeline
Generic

Praveen Tiwari

London,United Kingdom

Summary

Data and AI leader with over 14 years of global experience in AI and ML innovation across various industries. Proven ability to lead teams and deliver scalable solutions utilizing advanced ML and DL techniques. Expertise in Gen AI, NLP, time series analysis, and optimization, complemented by proficiency in Python, R, and PySpark. U.S. patent holder with a strong record of enhancing business outcomes through data-driven strategies.

Overview

10
10
years of professional experience
5
5
years of post-secondary education

Work history

Data and AI Architect

Accenture Strategy and Consulting
London, United Kingdom
07.2024 - 08.2025
  • Engineered and implemented automated debt collection chatbot for UK utilities client using AWS Bedrock and Claude models, optimising customer interactions and improving collection efficiency.
  • Formulated technical and solution architecture alongside conducting prompt engineering and data extraction via Snowflake for tariff recommendation system, enabling tailored energy pricing for end users.
  • Built a machine learning model to predict engine test outcomes using oil formulation parameters such as viscosity, additives, and chemical composition, significantly improving test efficiency and accuracy.
  • Engineered self-healing supply chain solutions for a leading pharmaceutical client by integrating Open AI LLMs and machine learning models to automate key processes and reduce manual intervention.
  • Designed and implemented enterprise-scale AI-driven data architectures, accelerating the adoption of Generative AI across business functions.
  • Established a robust enterprise data foundation using Data Vault 2.0 and VaultSpeed, automating ingestion and data modeling to support scalable Generative AI use cases.
  • Identified high-impact AI transformation opportunities, defined intelligent automation use cases, and developed strategic roadmaps to drive measurable business value through Generative AI.

Principal Data Scientist

Asper.ai(Product Based)
Bangalore, India
04.2022 - 07.2024
  • Cultivated business growth at Asper.ai by leading product development and successfully delivering solutions to multiple customers
  • Formulated AI-powered RGM product unifying Elasticity generation (Constrained Linear regression), Uplift Modeling, Promo (Mixed integer programming) and Pricing Recommendations for CPG and Retail sectors.
  • Developed an attribution model to predict missing coefficients, enhancing elasticity coefficients and improving attribution models.
  • Built AI attribution models to measure multi-year sales growth/decline trends, identifying key drivers and optimizing business strategies.
  • Pioneered AI-driven elasticity models to predict price sensitivity and promotional impacts in dynamic market conditions.
  • Delivered demand forecasting solutions covering Baseline Generation, Scenario Planning, Factor Contributions, and New Product Forecasting using time series models.
  • Enhanced time series forecasting accuracy by integrating Deep Learning models (LSTM,CNN+LSTM, Wavenet, GRU and Transformer models) into the product framework.
  • Designed and automated ML pipelines using Kubeflow evaluating 20+ models, delivering an average improvement of 10% in the forecast accuracy.
  • Conducted POC on Generative AI (ChatGPT) to assist demand planners with insights generation and scenario analysis.
  • Created interconnected platform bridging Demand Planners and RGM Teams for real-time AI collaboration.
  • Achieved 10x speed improvement by applying batch processing, multiprocessing, and optimized inference techniques.
  • Improved forecasting accuracy by incorporating factor contributions and external variables into baseline demand models.
  • Applied ensemble modeling techniques to enhance time series model performance and improve business insights accuracy.
  • Built new product forecasting models to predict demand for product launches, factoring in historical sales and market trends.
  • Secured multiple patents in AI and machine learning.

Lead Data Scientist

Ernst &Young
Bangalore, India
06.2019 - 04.2022
  • Managed team of over 30 members implementing demand forecasting models in various regions creating a revenue impact > $5mn.
  • Utilised multiple AI models (ARIMA, Random Forest, XGB, MLP, LSTM) to optimise forecast precision and reduce forecast bias.
  • Developed a simulation model using Linear Regression and Random Forest to analyze cost impact on total sales.
  • Built NLP classification models using BERT and SpaCy to identify and correct procurement anomalies, improving budget compliance.
  • Constructed a pricing simulator using Multiple Linear Regression and Decision Trees to predict bottle manufacturing costs.
  • Conducted a POC to extract key phrases from contracts using OCR.
  • Provided statistical leadership on time series models like SARIMA, Prophet, and DeepAR, mentoring teams on forecasting techniques.
  • Applied Random Forest, XGBoost, and KNN models to improve anomaly detection and classification accuracy in supply chain processes.

Sr. Data Scientist

Accenture Digital
Bangalore, India
06.2018 - 06.2019
  • Built Logistic Regression, Random Forest, and XGBoost models to identify key factors influencing Autopay failure or success for an insurance client.
  • Developed a customer propensity model using Gradient Boosting and Neural Networks to predict product purchase likelihood.
  • Applied LDA (Latent Dirichlet Allocation) to extract key insights from unstructured chat data for a telecom client.
  • Created rapid prototyping frameworks using Tableau and Python for ML use cases in pre-sales activities.
  • Led a team of junior data scientists to streamline the analytical process.
  • Optimised machine learning algorithms, improved predictive modelling accuracy.

Data Scientist

L&T Infotech
09.2015 - 12.2016
  • Built RFM Model on Transaction and Service Data to identify the various segment of customers.
  • Carried out Customer Segmentation for a product-based organization to understand their pattern of license purchasing.
  • Created ML model to predict the number of tickets flowing every month into the systems.
  • Created NLP Model for intelligent assignment for incoming Service Request.
  • Conducted statistical analysis to identify trends in large datasets.
  • Cleaned and pre-processed raw data for quality assurance purposes.
  • Wielded SQL queries for database management tasks, ensuring seamless operations.

Education

Masters - Business Analytics

National University of Singapore
Singapore
01.2017 - 05.2018

B. Tech - Computer Science and Engineering

Sikkim Manipal Institute of Technology
India
07.2005 - 07.2009

Skills

  • Languages: Python, R, Pyspark
  • DL Framework: Keras, Pytorch, Tensorflow
  • Tools: DataBricks, VaultSpeed,VSCode, Snowflake, Jupyter, Aera
  • CI/CD: Git, MLOps, AzureDevOps, Kubeflow, BitBucket
  • Database: MS-SQL, Oracle, Exasol, MySQL, Snowflake, SAP HANA, DynamoDB
  • Cloud: Microsoft Azure, AWS
  • LLM: GPT4, GPT 4 Turbo, GPT35, Anthropic - Claude
  • Soft Skills: Stakeholder Management, Team Management, Business Development

Accomplishments

Patent in Systems and Methods for Configuring an AI Pipeline

Patent in Generating an optimised constraint linear regression model

Timeline

Data and AI Architect

Accenture Strategy and Consulting
07.2024 - 08.2025

Principal Data Scientist

Asper.ai(Product Based)
04.2022 - 07.2024

Lead Data Scientist

Ernst &Young
06.2019 - 04.2022

Sr. Data Scientist

Accenture Digital
06.2018 - 06.2019

Masters - Business Analytics

National University of Singapore
01.2017 - 05.2018

Data Scientist

L&T Infotech
09.2015 - 12.2016

B. Tech - Computer Science and Engineering

Sikkim Manipal Institute of Technology
07.2005 - 07.2009

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Praveen Tiwari