VKvenkat k
@venkatk
Data Scientist with expertise in machine learning and NLP.
IndiaWhat I'm looking for
I am a data science professional with over 5.8 years of experience specializing in machine learning, natural language processing (NLP), and advanced technologies such as large language models (LLMs) and automatic speech recognition (ASR). My career has been primarily focused on the finance domain and risk analytics, where I have successfully developed predictive models that deliver actionable insights.
At Sutherland Global Services, I have led the development of a delinquency prediction model that improved accuracy by 7% through innovative feature engineering. Additionally, I have worked on conversational AI projects, utilizing LLMs for text summarization and topic modeling, which enhanced customer-agent interactions. My experience also includes building robust data pipelines and delivering insights that drive strategic decision-making.
Previously, I served as a Machine Learning Engineer at Cloudtaru & nQuantum.ai, where I developed an Automatic Speech Recognition system and a custom Named Entity Recognition model. My technical skills encompass a wide range of programming languages and machine learning techniques, enabling me to tackle complex data challenges effectively.
Experience
Work history, roles, and key accomplishments
Data Scientist
Sutherland Global Service
Jul 2022 - Present (3 years)
Worked on topic modeling and text summarization using LLMs (LLama3) on conversational data to extract key insights and summaries. Implemented custom preprocessing techniques and data drift to trend topics, ensuring high-quality inputs for the model. Developed and deployed sentiment analysis using the Qwen LLM to evaluate customer interactions, generating polarity scores to track sentiment flow cha
Data Scientist
Sutherland Global Service
Jul 2022 - Present (3 years)
Developed an end-to-end machine learning classification model to predict payment risks for delinquent customers, improving accuracy by 7% through effective feature creation. Designed actionable strategies based on model insights to enhance cash collection efficiency, deploying the solution across multiple client geographies. Developed a regression model to predict monthly credit repayments of cust
Machine Learning Engineer
Cloudtaru & nQuantum.ai
Jul 2019 - Jun 2022 (2 years 11 months)
Developed an Automatic Speech Recognition (ASR) system using the Kaldi toolkit for the Qspeech application, enabling accurate speech-to-text conversion and speech analytics. Built a custom Named Entity Recognition (NER) model using SpaCy to extract and categorize calls from transcribed speech. Fine-tuned a speaker diarization system with Kaldi to identify and differentiate speakers in audio record
Education
Degrees, certifications, and relevant coursework
TKR College Of Engineering
Bachelor of Computer Science Engineering, Computer Science Engineering
Grade: 72%
Completed a Bachelor of Computer Science Engineering, gaining foundational knowledge in computer science principles and practices. Achieved a commendable academic performance with 72%.
Availability
Location
IndiaAuthorized to work in
Job categories
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