Summary
Overview
Work History
Education
Skills
Websites
Certification
Timeline
Generic

Vineeth Krishnan

Bengaluru

Summary

Accurate, meticulous, and result-oriented AI Specialist with a proven track record in deploying advanced Generative AI, Deep Learning, and Machine Learning techniques to identify patterns, extract valuable insights, and solve complex business challenges. Experienced in planning and executing diverse AI-driven projects, collaborating with key stakeholders to define problem statements and deliver impactful, data-driven solutions.

Overview

11
11
years of professional experience
1
1
Certification

Work History

ML Senior Software Engineer

Iron Mountain
08.2023 - Current
  • Designed and implemented a state-of-art Generative AI solution for Document Classification, Extraction and Question answering, leveraging both closed ( GPT-4, Gemini, and Claude) and Open( Mistral) to achieve high accuracy and efficiency
  • Handled both taxonomy and non-taxonomy use cases for classification and extraction across different document types.
  • Implemented a Retrieval-Augmented Generation (RAG)-based Question-Answering solution using LLMs, seamlessly integrated with MongoDB Atlas for semantic search. The system utilized OpenAI embeddings to encode documents into vector representations, which were stored in MongoDB Atlas Search for efficient similarity-based retrieval.
  • implemented an intelligent document splitting solution using LLMs, which automatically identifies logical sections within documents for accurate classification and segmentation. This feature supports large files (>1000 pages) by splitting them into manageable chunks, ensuring compatibility with LLM’s context window without losing critical context between splits. The solution dynamically handles a wide range of document types and structures, ensuring precise and scalable document processing.
  • Designed and implemented a document reduction service using MS Presidio, integrated with spaCy and Robusta models for entity recognition. Supported both text and PDFs, allowing users to define entities with allow_list, deny_list, and regex-based patterns. Integrated Google OCR for improved text extraction and added custom EntityRecognizers for specific use cases. Provided various redaction options, including complete masking, ensuring compliance with data privacy regulations.

Data Science Delivery Manager

Acuity Knowledge Partners
09.2022 - 06.2023


  • Developed and implemented advanced time series forecasting models using machine learning algorithms, such as ARIMA, Prophet, and LSTM, to accurately predict future sales trends for a Japanese luxury omnibrand curator and distributor
  • Collaborated with cross-functional teams, including sales, marketing, and supply chain, to gather insights and inputs on market trends, customer behavior, and product availability that could impact future sales
  • Utilized statistical metrics MAE to measure and evaluate the accuracy of the forecasting models, identifying areas for improvement and implementing necessary adjustments to increase model performance
  • Contributed to the development of a comprehensive demand planning process that integrated sales forecasting, inventory optimization, and supply chain management to minimize stockouts and reduce inventory holding costs by $1.4B per year
  • Led a data science team in developing a proprietary product that analyzed financial statements, earnings call transcripts, holdings data, and news articles to uncover trends and potential red flags affecting stock performance. Utilized transfer learning with pre-trained models like BERT for sentiment analysis of stakeholder statements and implemented topic modeling on earnings call transcripts to identify key themes and cluster documents by products and industries. Delivered actionable insights via Power BI dashboards, empowering investors and equity analysts with data-driven strategies.

Senior Data Scientist

Harman Connected Services
06.2019 - 06.2022


  • Developed a sophisticated revenue forecasting model using PySpark and Python for a US market research company to identify the price elasticity of demand for different products at a Store-Week level
  • Conducted thorough data cleaning and preprocessing to ensure the accuracy and consistency of the data used in the forecasting process
  • Employed log-log regression model, which is known for its robustness and accuracy in handling non-linear relationships, to analyze the impact of various external variables, including price, discount, seasonality, marketing spend, and competitor distribution, on revenue growth
  • Utilized cross-validation techniques, such as k-fold validation, to test the model's accuracy and generalization performance
  • Developed market mix models using Python to analyze the impact of various marketing levers, including price, promotion, advertising, and distribution, on sales performance for a retail company
  • Preprocessed and transformed the data to account for seasonality and trends, and to incorporate the adstock and adbudget parameters into the modeling process
  • Utilized log-log regression models to capture the non-linear relationships between the marketing levers and sales, and estimate the price elasticity of demand for different products at the store-week level
  • Incorporated advanced feature engineering techniques, such as interaction terms, lags, and dynamic effects, to capture the complex dynamics of the market and improve the model's predictive power
  • Implemented a switch matrix in conjunction with chi-square test to check if there is a significant difference in the distribution of brand switching between two groups
  • Conducted data analysis to identify patterns in brand switching behavior and identify factors that influence brand loyalty
  • Provided insights into consumer preferences and purchasing behavior to optimize marketing and advertising strategies
  • Developed a model using NLP to identify and analyse the trend in consumer sentiments towards a brand and compare with category
  • Provided insights into the impact of social media and other digital channels on brand perception and reputation
  • Designed and created NLP based model using custom NER (Named entity recognition) and CRF (Conditional Random Fields) to identify diseases and the corresponding treatments to recognize entities in healthcare data for a US based pharmaceutical company
  • HCS is a pioneer in providing AI&ML-enabled solutions across retail, banking, insurance and telecom industries

DATA ANALYST

IBM India
12.2013 - 06.2019


  • Conducted exploratory data analysis (EDA) on large-scale telecom customer data to understand customer behavior and identify key factors that contribute to churn
  • Developed and implemented machine learning models, including logistic regression, decision trees, and random forests, to predict customer churn probability and identify at-risk customers
  • Conducted feature engineering techniques such as PCA and feature scaling to improve model performance and accuracy
  • Utilized classification metrics such as precision, recall, F1-score, and AUC-ROC to evaluate the performance of the models and identify areas for improvement
  • Component owner for order management
  • Conducting data mining, data modeling and report generation for the UK based telecom companies Inventory management based on the Customer orders and the Real Time Availability Monitoring (RTAM) reports
  • Consulting with clients and team members to document and understand business and technical requirements for Order management system functions provided by software platform
  • Train and mentor new joiners on Quality inspection, product specification and company policies
  • IBM offers business and technical consulting, training and support, data storage, analysis, networks, and enterprise applications across different clients worldwide

Education

Master of Technology - Microelectronics

NIT Silchar
05.2013

Bachelor of Technology - Electronics and Communication

University of Calicut
06.2009

Skills

  • Generative AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing
  • ML-Ops
  • Cloud computing
  • Data Mining & Analytics
  • Data Visualization
  • Project Delivery
  • Python and Pyspark Programming
  • SQL
  • Langchain

Certification

Executive Post Graduate Programme in Machine Learing and Artificial Intelligence.

Timeline

ML Senior Software Engineer

Iron Mountain
08.2023 - Current

Data Science Delivery Manager

Acuity Knowledge Partners
09.2022 - 06.2023

Senior Data Scientist

Harman Connected Services
06.2019 - 06.2022

DATA ANALYST

IBM India
12.2013 - 06.2019

Bachelor of Technology - Electronics and Communication

University of Calicut

Master of Technology - Microelectronics

NIT Silchar

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