Experienced Data Science Consultant with almost 8 years of expertise in leveraging cutting-edge technologies, advanced analytics, and AI solutions to drive data-driven insights and automation. Skilled in developing intelligent solutions and optimizing business processes. Proficient in building and deploying machine learning models. Experienced in NLP-based solutions, building, and deploying LLM, Gen AI, deep learning, and predictive analytics. Experienced in collaborating with cross-functional teams to implement scalable AI solutions, and adaptable to fast-paced, evolving technological landscapes.
Hi, I’m
Pratima Rathore
Hyderabad
Summary
Overview
8
years of professional experience
Work History
Pegasystems
Senior Data Scientist
09.2023 - Current
Job overview
- The primary purpose of Gen AI Service is to assist and enhance the capabilities of human operators, particularly in repeatable tasks, and discovering optimized automation workflows
- It improve overall efficiency by harnessing the power of chains of agent ( LLMs) specialized in performing specific tasks by using context derived from the RAG pipleine
- Worked closely with Pega development team and business units to integrate AI solutions, ensuring seamless automation , process improvements and integration with Pega Infinity
- Gen AI Service : Working with team of data scientists in building framework of agents equipped with functions and plugins doing function calling which automates the task and built on the principle of plan and execute
- Chat with your Data: This is a Chatbot build on top of Agile Studio platform which is able to answer the NL queries using the Gen AI Service as building block and answer them in terms of insights
- Chat with your rule: Poc on integrating knowledge graphs with LLM chain of agents build on top of rule xmls of Pega aims on grounding the LLM to reduce hallucination.
Accenture
Machine Learning Specialist
05.2021 - 09.2023
Job overview
- Led a team of data scientists and analysts in building advanced analytical and predictive models and LLMs using large volumes of structured, semi-structured and chaotic data to solve complex business problems for clients in various industries
- Implemented prompt engineering with models like ChatGPT, GPT3.5 , Falcon ,Bard ,MPT, Llama and other LLMs and their quantized models
- POC that explores the utilization of large language models (LLMs) such as ChatGPT, RAG, Falcon in conjunction with Lang chains and addressing challenges like LLM hallucinations, retrieval augmentation, token and memory limitations etc with the aim of developing custom tools and enhancing the efficiency of various applications
- Work with data engineering teams to design and implement data pipelines to support the training and deployment of machine learning models
- Built Intelligent Organization Accelerators using NLP algorithms like multiclass text classification, NER (Named entity recognition), phrase extraction, extractive and abstractive summarization, NLP based Q&A, paraphrasing and topic classification etc using SOTA models like BERT, BART, T5, GPT,BLOOM etc
- Worked on end-to-end data science pipeline with many clients like Intel, AmerisourceBergen, Anglo American, ServiceNow, Intel, AIG and Anglo shanti
- Research, design and develop end-to-end advanced analytical solution using predictive analytics, NLP, Machine Learning and Artificial intelligence
- Developed and implemented many deep learning models and harnessed Gen AI to increase company's productivity, efficiency and reduced manual labor
- Utilize deep learning models to train and fine-tune transformer-based algorithms from Hugging face to solve analytics and generative AI use cases
- Mentored team members and served as a technical and business SME to guide their professional development and career growth
- Contributed to the development of best practices, tools, and methodologies for data analysis and model building
- Hands on experience in handling end-to-end analytical projects starting from problem structuring, solution design, deep-dive, research, and outcome delivery.
Lymbyc
Senior Product Engineer
12.2020 - 04.2021
Job overview
- Worked on Leni , the virtual analyst that simplifies complex decision-making for clients across various sectors, mostly in sales, marketing, and commercial functions
- Leni can be trained/configured to respond to questions across the entire insight spectrum - exploratory/descriptive, diagnostic, and predictive.
Verizon
Data Analyst
04.2019 - 12.2020
Job overview
- Developed statistical and predictive models, including linear and logistic regression, decision trees, random forests, gradient boosting, neural networks, and deep learning using frameworks like Keras, TensorFlow and Pytorch
- Developed machine learning models using GCP's AI/ML services such as AutoML, Vertex AI, Kubeflow, Dataflow or TensorFlow to perform tasks such as classification, clustering, or regression
- Worked on NLP use cases like Sentiment Analysis, Grammar classifier, Information extraction using NER and Topic modelling using BERT
- Proficiency in data exploration, feature engineering, and model selection to improve model performance and interpretability
- Experience with data analysis tools and programming languages such as Python and SQL.
Cognizant
Programming Analyst
10.2016 - 03.2019
Job overview
- Worked around of data engineering and big data technologies, including ETL processes, data modeling, and data warehousing
- Experience working with Big data platforms and distributed computing tools (Map/Reduce, Hadoop, Hive, and/or Spark)
Education
Liverpool John Moore's UniversityUK
Master of Science from Artificial Intelligence
06.2021
University Overview
International Institute of Information Technology, BangaloreBengaluru
Post Graduate Diploma from Data science
11.2020
University Overview
Kalinga Institute of Industrial TechnologyBhubaneswar
Bachelor of Science from Automobile Engineering
05.2016
University Overview
Skills
- Data Science
- Machine Learning
- Natural Language Processing (NLP)
- Artificial Intelligence (AI)
- Deep Learning
- Generative AI
- Transfer Learning
- Python Programming
- Predictive Modelling
- Descriptive Modelling
- Named Entity Recognition (NER)
- Sentiment Analysis
- Classification
- Clustering
- Ensemble Methods
- Information Retrieval
- Text Generation
- Hugging Face
- Large Language Models (LLMs )
- Feature Engineering
- Quantitative/Advanced Analytics
- Cloud Computing
- Data Wrangling
- Business Acumen
- Software Engineering
- Big Data Analytics
- Agile Methodology
- Dimensionality Reduction
- Database Management
- Business requirements gathering
- Data science research methods
Timeline
Senior Data Scientist
Pegasystems
09.2023 - Current
Machine Learning Specialist
Accenture
05.2021 - 09.2023
Senior Product Engineer
Lymbyc
12.2020 - 04.2021
Data Analyst
Verizon
04.2019 - 12.2020
Programming Analyst
Cognizant
10.2016 - 03.2019
Liverpool John Moore's University
Master of Science from Artificial Intelligence
International Institute of Information Technology, Bangalore
Post Graduate Diploma from Data science
Kalinga Institute of Industrial Technology
Bachelor of Science from Automobile Engineering
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