Pranav J

Data Scientist at LeadSense
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Contact Information
us****@****om
(386) 825-5501
Location
London, England, United Kingdom, UK

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Credentials

  • Deployment of machine learning models
    Udemy
    Sep, 2020
    - Nov, 2024
  • Full Stack Deep Learning
    Full Stack Deep Learning
    Sep, 2020
    - Nov, 2024
  • AWS Certified Machine Learning Specialty
    Udemy
    Jun, 2020
    - Nov, 2024
  • Deep Learning : Advanced NLP and RNN
    Udemy
    May, 2020
    - Nov, 2024
  • AWS Essentials : Hands on training
    Udemy
    Apr, 2020
    - Nov, 2024
  • Natural Language Processing in TensorFlow
    Coursera
    Oct, 2019
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    Mar, 2019
    - Nov, 2024
  • Deep Learning Specialization
    Coursera
    Mar, 2019
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Mar, 2019
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Feb, 2019
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Feb, 2019
    - Nov, 2024
  • Sequence Models
    Coursera
    Feb, 2019
    - Nov, 2024
  • Data Analysis with Python
    IBM
    Jan, 2019
    - Nov, 2024

Experience

  • LeadSense
    • United Kingdom
    • Advertising Services
    • 1 - 100 Employee
    • Data Scientist
      • Nov 2022 - Present

      - Data Stack Development and Ownership: Successfully developed, owned, and maintained the entire data stack for the company. - Performance and Financial Reporting: Created and managed 20 comprehensive dashboards providing in depth insights into client performance and the company's financial performance. [Power BI, SQL, Tableau] - Lead quality optimization algorithms: Took the lead in developing and implementing cutting-edge algorithms to optimize lead quality and provide clients with targeted lead recommendations. [Python] Show less

  • Wells Fargo
    • United States
    • Financial Services
    • 700 & Above Employee
    • Data Scientist 2
      • Aug 2021 - Aug 2022

      - Cheque Fraud Detection: Developed and implemented a highly effective challenger check fraud model utilizing advanced computer vision techniques and conducted comprehensive performance and sensitivity testing on vendor models, employing statistical analysis and image processing techniques to evaluate their effectiveness. [Python, Tensorflow, Computer vision] - Employee Feedback Analysis: Utilized NLP-based techniques to classify and extract financial entities from employee feedback, contributing to improved understanding and actionable insights. [Python, Pytorch, NLP] - Data Profiling Application: Developed a data quality assessment application using NLP/Statistical techniques for data from multiple sources like AWS S3, CSV. [Python, Flask, Postgres, AWS S3] Show less

  • Deloitte
    • Business Consulting and Services
    • 700 & Above Employee
    • Data Scientist
      • Jul 2019 - Aug 2021

      - NLP Based Document Processing Automation: Developed and deployed a web app on GCP which reduced claim processing time by 58%. Features: Classifies medical records using BERT, identifies / highlights relevant information based on policy requirements, detects tables/text from bills [Django, GCP, Pytorch, NLP, Python, Information matching, Computer vision] - Computer Vision Based Drug Detection : Developed a real-time pill detection pipeline using image matching techniques, enabling the accurate detection of drugs from images [Python, Tensorflow, FastAPI] - Chatbot on AWS : Developed a chatbot using AWS services that seamlessly converted natural language user queries into database queries [Python, AWS Lex, AWS Lambda ,AWS S3, AWS Redshift] - Fault Detection on Concrete Surface: Designed, quantized, and deployed a model for crack detection on buildings using the SSD MobileNet v2 architecture and TensorFlow object detection API Show less

  • Kabbage from American Express
    • United States
    • Financial Services
    • 1 - 100 Employee
    • Data Scientist Intern
      • Apr 2019 - Jun 2019

      - Developed an ML model monitoring framework and dashboard for Credit risk models using statistical techniques - Contributed actively to the R&D team in identifying valuable data sources and building models to enhance market response rates and collection rates [Python, R, Credit Risk Modelling] - Developed an ML model monitoring framework and dashboard for Credit risk models using statistical techniques - Contributed actively to the R&D team in identifying valuable data sources and building models to enhance market response rates and collection rates [Python, R, Credit Risk Modelling]

  • CareStack™ - Dental Practice Management
    • United States
    • Wellness and Fitness Services
    • 400 - 500 Employee
    • Business Analyst
      • Jun 2016 - Jun 2018

      - Analysed data and designed KPI dashboards for stakeholders – Carestack BI [SQL, Python and Power BI] - Conducted daily scrum meetings, feature grooming meetings and demonstrations for potential clients and SMEs - Analysed requirements and designed the treatments module of the product - Analysed data and designed KPI dashboards for stakeholders – Carestack BI [SQL, Python and Power BI] - Conducted daily scrum meetings, feature grooming meetings and demonstrations for potential clients and SMEs - Analysed requirements and designed the treatments module of the product

Education

  • University of Bristol
    Master of Science - MS, Data Science
    2022 - 2023
  • University of Kerala
    Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
    2012 - 2016
  • Loyola School Thiruvananthapuram
    Class 12
    2011 - 2012

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