Vanad Narayane

Data Scientist

Indore, Madhya Pradesh, India3 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in Data Science and Machine Learning.
Proven track record in Natural Language Processing projects.
Strong collaboration skills across functional teams.

Stackforce AI infers this person is a Data Scientist specializing in AI-driven solutions for enterprise applications.

Contact

Skills

Core Skills

Data ScienceMachine LearningNatural Language Processing (nlp)

Other Skills

C (Programming Language)C++CPLEXComputer VisionData AnalysisData VisualizationDeep LearningGNU OctaveLinear ProgrammingMatlabOperations ResearchOptical Character RecognitionPython (Programming Language)RSQL

About

As an Industrial and Systems Engineering graduate from the Indian Institute of Technology Kharagpur, with a specialization in Industrial Engineering & Management and Artificial Intelligence, my expertise lies in Data Science, Machine Learning, Natural Language Processing, and Deep Learning. Currently, I hold the position of Data Scientist within the AI Hub team at Schneider Electric's Digital Business Unit.

Experience

Schneider electric

2 roles

Data Scientist

Promoted

Apr 2023 – Present · 2 yrs 11 mos · Bengaluru, Karnataka, India

Working as a Data Scientist at the AI Hub, Schneider Electric. Leveraging Generative AI to solve problems within the Finance and Digital Customer Relationship domains within Schneider Electric.

Machine LearningDeep LearningNatural Language Processing (NLP)Data SciencePython (Programming Language)

Graduate Engineering Trainee - Data Scientist

Jul 2022 – Apr 2023 · 9 mos · Bengaluru, Karnataka, India

Working in the Digital Business unit, leveraging data-driven approaches to solve problems in the People Analytics & Employee Experience domain which are part of the AI Flagship initiatives in Schneider Electric.
Project: Minutes of Meeting Generation
Description: Developed a proof-of-concept (PoC) solution for automating the generation of meeting minutes using transcripts from Microsoft Teams meetings.
Key Achievements:
Fine-tuned the BART (Bidirectional and Auto-Regressive Transformers) model on the AMI (AMI Meeting Corpus) dataset.
Achieved a ROUGE score of 47 on the validation set, demonstrating the effectiveness of the generated summaries.
Implemented data preprocessing, model training, and evaluation pipelines.
Collaborated with cross-functional teams to gather requirements and ensure alignment with business needs.
In addition to my technical contributions, I actively collaborated with various functional units within Enterprise IT to identify pain points and inefficiencies in existing processes. By engaging with stakeholders across departments, I sought out opportunities where AI could be strategically applied to enhance productivity, streamline workflows, and drive meaningful improvements. This holistic approach allowed to address not only the technical challenges but also the broader organizational needs.

Data ScienceData AnalysisNatural Language Processing (NLP)Python (Programming Language)

Brunel university london

Research Intern

Apr 2022 – Jul 2024 · 2 yrs 3 mos

Worked on analyzing the Corporate Sustainability Reports published by the companies in the Indian stock index Nifty50 using Natural Language Processing for finding patterns in reporting and aim to detect greenwashing claims.

Natural Language Processing (NLP)Data Analysis

Doubtconnect

AI Development Intern

Mar 2021 – Jun 2021 · 3 mos · Mumbai, Maharashtra, India

Project: Automation of multiple processes in DoubtConnect's platform.
Built a Photo-Optical Character Recognition system using Tesseract engine and Pytesseract.
Built an LSTM model for classifying the questions based on subjects they belong to achieving an accuracy of 88.87%.
Developed a prototype to automate the tagging process by integrating the OCR and Question Classification model. The prototype takes as input an image from the user. It extracts the text from the image using the Optical Character Recognition model and then the text is used by classification model to provide the subject label to the question.
Built a model which shows the top tutors and trending tutors based on the ratings and reviews provided by the user.

Optical Character RecognitionMachine LearningPython (Programming Language)

Hcl technologies

NLP Data Science Intern

Mar 2021 – Apr 2021 · 1 mo · Noida, Uttar Pradesh, India

Project: NLP functionality development on HCL’s Open Innovation Platform
Sentiment Analysis using Bidirectional Encoder Representations from Transformers (BERT) achieving an accuracy of 87%.
Converted data frame to SQLite database and built a SQL Search Engine for answering the queries related to the database.
Built a Query recommendation system using the Rapid Automatic Keyword Extraction (RAKE) algorithm in python's Natural Language ToolKit and matching the keywords to queries present in the database of queries. The system recommends queries based on the query asked by the user.

Natural Language Processing (NLP)Python (Programming Language)SQL