Anup Tiwari
Data Science Manager
Gurugram
Summary
Anup Tiwari is a Manager with the Data & Analytics practice at PwC Consulting, India and has 9 years of experience in various phases of the MLAI development lifecycle. He is a competent professional with extensive experience in the field of ML & AI, NLP, MLOps, LLM apps development, APIs, cross-functional coordination and leadership. He has developed forecasting models, recommendation systems, conversation AI assistants using open-source tools, cloud services and LLMs. He also has extensively worked closely and lead teams with data engineering, backend and frontend development expertise to bring various applications up to the end users.
Overview
1
1
year of professional experience
35
35
years of post-secondary education
Work History
Data Scientist
Bank in Dubai
- Analytics applications for RMs - Bank
- Created a Limit Utilization model from complex data sources to asses' real time client utilization on a dashboard using advanced algorithms
- Developed
- ML models to generate opportunities for business relationship managers resulting in more than 10M AED pipeline of prospective deals.
- Collaborated with cross-functional teams to design and implement machine learning models for potential forex opportunity, NLP on call reports analysis and time series analysis to predict customer POS volumes
- Conducted data preprocessing, feature engineering, and data analysis to extract meaningful insights from large datasets stored on various platforms such as delta tables, hive and datalake
- GenAI solution to find adverse media related to clients
- AI assistant POC for QA with documents
- Implemented CI/CD pipelines to manage model workflows.
Data Scientist
HealthCare Client
- Test Recommendation System - Healthcare Client
- Collaborated with cross-functional teams to design and implement machine learning models for patient test recommendation system
- Conducted data preprocessing, feature engineering, and data analysis to extract meaningful insights from large purchase history dataset of the patients.
- Used for next test recommendations for a customer based on its purchase history and similarities to other customers
- Achieved 37% more accurate recommendations than client's' existing recommendation model
- Deployed the model as an API on cloud VM to be used by the application.
Data Engineer
Petroleum Client
- Sales Potential Forecasting Model - Oil & Gas Client
- Extraction, preprocessing and storage of unstructured text data obtained from petroleum utilities websites based in India into Databases using Python and Selenium
- Developed models for forecasting sales for 50 thousand RetailOutlets (ROs)
- Rich data features such as demographics, point of interest, location features and other relevant geospatial data were used to accurately predict the sales at each existing RO location
- Developed models to assess the feasibility of setting up an RO for a new location and generate feasibility reports for any new location on map
- Deployed the model as a web service using on Azure VM using Flask.
Data Engineer
Power Utility
- Energy Sector Data Management System: Designed and implemented a data management system for the energy sector, incorporating data warehousing and cloud-based solutions. Led a cross-functional team to successfully deploy the system, which improved data accuracy and access for end-users.
- Data Pipeline Optimization: Led a project to revamp data pipelines using Python and Airflow, resulting in a 40% increase in data processing efficiency. The project involved complex SQL and NoSQL dataset management and the application of best practices in data engineering.
- Business Intelligence Reporting - Power Utility
- Development of Information Fetching System for power utility
- Development and testing of tool to extract, store and preprocess data for analysis and dashboarding
- Developed interfaces for client data upload to database and dashboard
- Deployed the application on cloud and managed the updates to the application.
Full Stack Data Scientist
Power Utility
- Demand & Price Forecasting - Power Utility
- Development of data storage infrastructure and data preprocessing pipelines for creating the validated time-series data required for training.
- Development of Machine learning and neural network techniques to predict the day ahead electricity price at Indian Energy Exchange
- Deployment of
- Models as endpoints and creation of daily forecast reports
- MLOps to incorporate on feedback/issues/criteria-based triggers from the client including data or model drifts.
Data Analyst
KPMG - DFID
- Sentiment Analysis System - Power Utility
- Extraction, preprocessing and storage of unstructured text data obtained from twitter APIs for power utilities based in India into Databases using
- Python and Selenium
- Application of Natural Language Processing (NLP) techniques such as Lexical, Syntactical and Semantic processing to derive structured text and derive insights regarding customer sentiments.
- Conducted data preprocessing, feature engineering, and data analysis to extract meaningful insights and sentiment analysis from a large corpus of tweets from online handles of power utilities.
Manager
PwC
05.2023 - Current
- Data Management & Architecture: Led the design and implementation of a data management system, including data warehousing and architecture, improving data accessibility and quality.
Managed a team to develop and maintain data pipelines and storage infrastructure, utilizing Python, SQL, and cloud technologies. - Leadership & Team Management: Directed cross-functional teams to deliver complex data engineering and AI projects, providing technical guidance and fostering a collaborative environment.
Developed and mentored junior team members, enhancing their skills in data engineering and problem-solving. - Forecasting & Analysis: Designed and deployed forecasting models for power utilities, leveraging advanced machine learning and neural network techniques to predict energy prices. Implemented MLOps for continuous model improvement.
Developed a sales potential forecasting model for the oil & gas sector, incorporating geospatial data and deploying the model as a web service on Azure VM using Flask. - Sentiment & Business Intelligence: Created a sentiment analysis system for power utilities, processing unstructured text data and deriving actionable insights using NLP techniques.
Developed a business intelligence reporting tool for power utilities, including data extraction, preprocessing, and dashboard creation. - Advanced Projects & Innovations: Implemented analytics applications for banking clients, including limit utilization models and opportunity generation for business managers, resulting in significant pipeline growth.
Led the development of an AI assistant POC and GenAI solutions for adverse media detection, integrating cutting-edge technologies and CI/CD pipelines. - Cross-trained existing employees to maximize team agility and performance.
- Led cross-functional teams to achieve project goals, fostering collaboration and innovation.
Manager
KPMG
04.2024 - 05.2024
Education
Master of Science - Artificial Intelligence & Machine Learning
Liverpool John Moores University
United Kingdom 04.2001 - 04.2022
B.E. - Civil Engineering
BITS Pilani
04.2001 - 04.2015
Post Graduate Diploma - Machine Learning & Artificial Intelligence
IIIT Bangalore
Bengaluru, India09.2021
Competency
AI/ML Engineer
Certificationstrainings
- Time Series Forecasting Udemy
- Course on Prescriptive Analytics, IIT Kanpur
- Foundation Course in Data Analytics, GoAnalytics
- LinkedIn Data Engineering Foundations
- Prompt Engineering, LlamaIndex, Agents, Langchain - DeepLearning.AI
Grade
Manager
Languages
English
Hindi
Punjabi
Timeline
Manager
KPMG
04.2024 - 05.2024
Manager
PwC
05.2023 - Current
Master of Science - Artificial Intelligence & Machine Learning
Liverpool John Moores University
04.2001 - 04.2022
B.E. - Civil Engineering
BITS Pilani
04.2001 - 04.2015
Data Scientist
Bank in Dubai
Data Scientist
HealthCare Client
Data Engineer
Petroleum Client
Data Engineer
Power Utility
Full Stack Data Scientist
Power Utility
Data Analyst
KPMG - DFID
Post Graduate Diploma - Machine Learning & Artificial Intelligence
IIIT Bangalore
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