Summary
Overview
Work History
Education
Skills
Timeline
Generic

Sarvendra Singh

Bengaluru

Summary

  • Possess excellent interpersonal, analytical, and negotiation skills with a proven track record of utilizing a process-oriented approach to achieve organizational goals.
  • Currently working as AI/ML Computational Science Sr Manager in Accenture in GenAI COE for North America clients and previously lead the Connected Data Platform Data Science team of 8 members as Manager Data Science in the TVS Connected Mobility division.
  • Conducted and facilitated comprehensive training programs on advanced generative AI solutions, Agentic AI Solutions, ensuring effective knowledge transfer and skill development among participants..
  • Collaborated with clients and stakeholders to identify business challenges and translate them into technical and functional solutions. Provided Executed proof of concepts to evaluate the value of Artificial Intelligence use cases
  • Solutioning and Consulting- Sketched strategic plans for big data, technology roadmaps, talent acquisition, and team mentoring to ensure cutting-edge technological competitiveness.
  • Provided guidance to top management on KPIs, metrics, and business decisions through accurate analysis of user and business data.
  • Interfaced with clients and stakeholders to identify business challenges and develop AI solutions aligned with organizational objectives.
  • Offered proactive assistance in defining Analytics Roadmaps and developing Analytics Centers of Excellence (CoEs) and Knowledge Process Outsourcing (KPOs) for clients.-

Overview

18
18
years of professional experience

Work History

AI/ML Computational Science Sr Manager

Accenture
09.2024 - Current
  • Currently working as AI/ML Computational Science Sr Manager in Accenture in GenAI COE and providing solutioning for GenAI usecases for North America clients
  • Conducted and facilitated comprehensive training programs on advanced generative AI solutiion, Agentic AI Solutions, ensuring effective knowledge transfer and skill development among participants
  • Executed proof of concepts to assess the valuate of GenAI ,Artificial Intelligence use cases
  • Evaluated hiring, firing, and promotions requests.

Principle Data Scientist/Manager Data Science

TVS Motors Company Limited
03.2023 - 09.2024
  • LLM Based Voice Assistant App For TVS IQubeS EV 2 Wheeler:
    The objective of this project is to design, develop, and implement a voice assistant application specifically tailored for TVS iQube S users.
    Voice assistant will allow users to interact seamlessly with their iQube S, obtaining information from the user manual (vehicle's features,
    maintenance, and troubleshooting.), accessing telemetry data(battery status, range, and other critical metrics), and executing voice
    commands(navigation, entertainment controls) within the vehicle. The application facilitate natural language conversations, offering
    general information as well as details related to the vehicle's user manual and telemetry data
    LLM Based Chatbot on user manual of U388 2-Wheeler Model:
    Create a chatbot utilizing the guidelines and information outlined in the U388 documentation PDF to respond to user inquiries as per the
    manual's content. RAG Based pipeline was used to answer queries related to U388.
    Solution was deployed as API solution and customer can use this chatbot on TVS Connect Mobile App.
    EV 2-Wheeler Battery Full Charge Time Estimation:
    This use case was to proactively Predict Total Remaining Charging Time for Charging the Battery to its fullest i.e. x1 % SOC to 100 % SOC.
    Currently, the Total Remaining Charging Time Field in the Raw data Table has values which in reality deviates to a greater extent from the
    Actual Time To Charge values. Hence using an ML based model for Time to Charge can help the cause in terms of accuracy and greater
    customer satisfaction.

    iSmart – EV Vehicle Low Range Root Cause Analysis and Improvement Suggestion Algorithm:

    .Dataset was telematics sensor trip level data.Among 25% oftotal trips faced low ranges issues and this number goes high if we consider only metro cities.Currently there is no recommendation model
    or dashboard to analyse and prevent low range issues.In this project Machine learning & SHAP values based approach implemented to
    identify root causes of low range

Consulting Manager- Data Science

Tata Consultancy Services
04.2021 - 02.2023
  • Developed RID platform detects and analyses spikes in user behavior on Apple's support sites across multiple channels
  • Developed The Rapid Issue Detection System-SEO analyses search engine queries directed to AppleCare sites for a given day
  • Onboarded many Apple Channels for Anomaly detection framework
  • Integrated Splunk with our RID application for central indexing and quick search logging and automating Email alerts for failed jobs
  • Integrated RID with Slack to get Job failure notifications in slack messages so that instant corrective action can be taken

Lead Data Scientist

Renovite Technologies
09.2018 - 04.2021
  • Worked on building an integrated cloud native Fraud Detection reno Secure product that provides the ability to integrate rule processing, statistical methods and artificial intelligence into any process in the payment's ecosystem
  • Performed Statistical and machine learning based study for a leading financial lending company to assess loan repaying capability


  • Performed feature engineering & communicated key metrics, trends & insights to the leadership extracted after performing EDA
  • Successfully deployed models in cloud and involved in creating ML pipelines, creating Feature Store, Model monitoring steps
  • Optimized Credit Scorecard model which helped bank in taking decisions to grant loan or not

Sr. Data Scientist

Alqimi India Pvt Ltd
11.2017 - 09.2018
  • Performed Topic modelling on product reviews data for and extracted key topics for online hotel booking portal company and summarized long reviews into summarized form
  • Performed clustering of telecom users, based on billing system data and derived significant insights
  • Developed attribute-image-combined attention-based model for image captioning
  • Discovered hidden topical patterns from product reviews from Topic modelling
  • Summarizing long product reviews into short summaries helped users to get the most precise and useful information

Associate Consultant Data Science

Wipro Technologies
08.2014 - 11.2017
  • Predictive Modelling, use cases on Supervised, Unsupervised, Segmentation problems
  • Customer Support Tickets Classification and Sentiment Analysis on Ecomm Product reviews

Sr. Software Engineer II

Fidelity Information Services
11.2013 - 07.2014
  • Machine Learning, Extracting Business insights from structured and unstructured data, SAS programming and Reporting, Business Intelligence and Dashboarding

Engineer Application Development

Computer Science Corporation India
07.2010 - 11.2013
  • Machine Learning, Extracting Business insights from structured and unstructured data, SAS programming and Reporting, Business Intelligence and Dashboarding

Software Engineer

HCL Technologies
06.2007 - 07.2010
  • Content management using Documentum, Java

Education

PGPBA - Business Analytics and Machine Learning

Greatlakes Institute of Management
Gurgaon
01.2016

B.Tech - Computer Science

Madan Mohan Malviya Engg College
Gorakhpur, UP
01.2007

Skills

  • LLM (Large Language Models)
  • simple RAG and Hybrid RAG & RAG Optmizations
  • Multi Model genAi Solutions
  • Langchain
  • Agentic Solutions and Frameworks crewai,Microsoft autogen

Cloud Services

  • AWS Sagemaker Studio
  • AWS Lambda
  • AWS API Gateway
  • Natural Language Processing

Machine Learning Algorithms

  • Linear & Logistic regression
  • Gradient Boosting Machine (GBM)
  • XGBoost
  • Random Forest
  • Support SVM
  • Ridge-Lasso Regression
  • CART
  • Kmeans
  • Density based clustering DBSCAN
  • PCA

Databases

  • Clickhouse
  • MongoDB
  • Elasticsearch
  • Mysql

Programming Languages

  • Python
  • SAS
  • SQL
  • Advance SQL
  • Reporting oversight

Timeline

AI/ML Computational Science Sr Manager

Accenture
09.2024 - Current

Principle Data Scientist/Manager Data Science

TVS Motors Company Limited
03.2023 - 09.2024

Consulting Manager- Data Science

Tata Consultancy Services
04.2021 - 02.2023

Lead Data Scientist

Renovite Technologies
09.2018 - 04.2021

Sr. Data Scientist

Alqimi India Pvt Ltd
11.2017 - 09.2018

Associate Consultant Data Science

Wipro Technologies
08.2014 - 11.2017

Sr. Software Engineer II

Fidelity Information Services
11.2013 - 07.2014

Engineer Application Development

Computer Science Corporation India
07.2010 - 11.2013

Software Engineer

HCL Technologies
06.2007 - 07.2010

B.Tech - Computer Science

Madan Mohan Malviya Engg College

PGPBA - Business Analytics and Machine Learning

Greatlakes Institute of Management
Sarvendra Singh