Puneet Chandna Consultant - Analytics at Absolutdata

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Consultant - Analytics

Absolutdata Analyticsan Infogain company

May 2022 - Current (4 years)

• Extracted specific details from insurance claim documents using a mix of open source (Openllama, Falcon, Mpt, Xgen) and paid LLMs (GPT-3.5, GPT-3.5-turbo). Utilized model libraries like Exllama and Autogptq, and experimented with embedding models such as Instructor large and text-embedding-ada-002 for RAG. Demonstrated results using Langchain and Llamaindex frameworks. • Developed a pipeline to classify whether an insurance claim would be overridden to be sent to an insurance adjuster or not. • Classified safety incidents on aircraft using Longformer in a multi-label multi-level hierarchical text classification setting for 1800 labels. Achieved over 98% recall across all models/levels, exceeding client expectations.

Data Scientist

SecomindAI India

Nov 2021 - May 2022 (7 months)

• Collaborated with a smart building solutions provider to address challenges in the time series module of smart IoT windows. Developed innovative solutions utilizing a photochromatic layer and multiple sensors to adjust window tint based on external weather conditions. Engineered custom time series forecasting models combining NLP and time series concepts for multivariate multi-step time series forecasting.

Machine Learning Engineer

47 Degrees

Feb 2021 - Sep 2021 (8 months)

• Worked with various image processing and object detection techniques to create smart grocery shelves and coolers to detect out of stock inventory. Created a model with 99% map, which was a huge improvement over the existing model which struggled with detecting hanging shelves and high latency. • Worked with various image processing and object detection techniques to detect slaughtered and alive chickens in a meat processing plant. Acknowledged the challenges and suggested improvements to the client for a minimum viable product.

Senior Systems Engineer

Infosys

Jul 2020 - Feb 2021 (8 months)

• Worked as a developer in the analytics division for various clients creating POCs and discovering areas for value addition. • Worked on a project for an international telecom operator to predict customer churn behavior. • Worked on a project to segment customers into different clusters for effective marketing. • Worked on a project to forecast sales for an international retailer. • Gathering various pain points and requirements from all teams for automation purposes. • Scraping, cleaning and analyzing large datasets and performing EDA for model building.

Student

Applied AI Course

Dec 2019 - Oct 2020 (11 months)

Successfully completed the rigorous 1 year course covering python fundamentals, SQL, Algebra, Probability and Statistics, Dimensionality reduction, Supervised ML techniques, Decision Trees, Bagging and Boosting, Unsupervised learning/Clustering, Recommender Systems and Matrix Factorization, Neural Networks, Computer Vision and NLP. 30 Practical assessments with 13+ end-to-end case studies, 2 self-made case studies and 2 self-written blogs based on real-world business problems.

Systems Engineer

Infosys

Jun 2018 - Jul 2020 (2 years 2 months)

• Worked as a developer in the analytics division for various clients creating POCs and discovering areas for value addition. • Worked on a project for an international telecom operator to predict customer churn behavior. • Worked on a project to segment customers into different clusters for effective marketing. • Worked on a project to forecast sales for an international retailer. • Gathering various pain points and requirements from all teams for automation purposes. • Scraping, cleaning and analyzing large datasets and performing EDA for model building.

Puneet Chandna

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