Summary
Overview
Work History
Education
Skills
Timeline
Generic

Shubham Yadav

Noida

Summary

A seasoned Senior Data Scientist with a proven track record, I excel in leveraging deep learning and NLP to drive predictive modeling and operational efficiencies. Skilled in AWS and team mentorship, I've significantly enhanced data-driven decision-making and operational enhancements across multiple sectors, showcasing a blend of technical prowess and leadership.

Overview

6
6
years of professional experience

Work History

Senior Data Scientist III

Codvo.ai
07.2022 - Current

Accomplishments

Leasable Prediction System:

  • Designed and implemented large-scale data scraping pipelines to gather extensive e-commerce datasets for analysis and model training.
  • Built deep learning models leveraging these datasets to classify products into distinct categories, improving organizational efficiency and product accuracy.
  • Deployed and monitored machine learning solutions on AWS, ensuring scalability and optimal performance during training and inference.

Data Architecture and Analytics Dashboard :

  • Built a scalable architecture to collect and store previously untracked user data, providing foundational insights into customer behavior.
  • Developed a comprehensive dashboard to visualize critical metrics, enabling data-driven decision-making.

E-commerce Data Projects (Suggested and Implemented)

  • Customer Lifetime Value (CLTV): Designed strategies to calculate and leverage CLTV for personalized marketing and retention efforts.
  • Churn Analytics: Implemented models to identify and reduce customer churn through proactive engagement.
  • Customer Segmentation: Grouped customers based on purchase behavior and demographics to enable targeted marketing.
  • Recommendation Engine: Built systems to recommend products, increasing cross-sell and up-sell opportunities.
  • Outcome: Enhanced customer acquisition and retention strategies, driving a 10% growth in revenue.

KPI Optimization:

  • Identified, measured, and recommended improvement strategies for key performance indicators (KPIs) across multiple business areas, driving operational enhancements.

Predictive Maintenance and Asset Health Monitoring

  • Solved problems related to predictive maintenance and asset health monitoring for clients like Baker Hughes and Qatar Gas using advanced deep learning techniques.
  • Developed solutions on the C3.ai platform, integrating data and building enterprise-grade AI solutions for large-scale industrial applications.

Team Development

  • Coached and mentored junior data scientists on data collection, mining, and model training techniques, fostering skill development and team growth.

Data Scientist

Namaste Credit
04.2021 - 06.2022
  • Developed predictive machine learning models to streamline underwriting processes, optimize lead segmentation, estimate loans, and forecast cash flows.
  • Designed and implemented scalable, automated workflows for model development, validation, deployment, and monitoring.
  • Delivered actionable, data-driven insights to stakeholders, addressing key business questions and driving strategic decisions.
  • Built robust ETL pipelines to aggregate and process data from multiple sources, enabling seamless integration with analytical dashboards.
  • Worked independently and collaborated cross-functionally to tackle complex challenges and deliver impactful solutions.

Data Scientist

Polynomial.AI
09.2020 - 03.2021
  • Designed and implemented NLP and ML frameworks to automate data preprocessing, data mining, exploratory analysis, anomaly detection, visualization, classification, and predictions.
  • Automated data collection from multiple sources by developing bots using frameworks like Scrapy and Selenium for web crawling and scraping.
  • Contributed to innovative software research projects by applying Deep Learning and NLP techniques to design, analyze, and optimize workflows for solving real-world problems.
  • Built and deployed intelligent chatbots using Google Dialogflow, enhancing user interaction and automating communication workflows.

Data Analyst

Learning Curve
01.2020 - 08.2020
  • Managed data storage, mining, and cleansing to ensure accuracy and usability of datasets.
  • Wrote optimized queries to retrieve data tailored to the specific requirements of various teams.
  • Automated workflows by leveraging advanced Excel formulas, functions, and macros to improve efficiency.
  • Designed and implemented ETL pipelines for seamless data extraction, transformation, and loading.

Business Analyst

Enverus
06.2019 - 12.2019
  • Was responsible for collection and processing of data of Asia-Pacific and Africa region.
  • Automated the whole Radar training procedure.
  • Synthesized working strategy according to the needs of our clients.
  • Processed and uploaded data on the company's web portal and database

Education

B.Tech -

University of Petroleum And Energy Studies
Dehradun, India
07-2019

Skills

  • Python
  • Deep learning
  • NLP
  • Predictive maintenance
  • Multivariate analysis
  • Machine learning
  • Transformers
  • Data Scraping
  • AWS
  • Quicksight
  • SQL
  • Selenium

Timeline

Senior Data Scientist III

Codvo.ai
07.2022 - Current

Data Scientist

Namaste Credit
04.2021 - 06.2022

Data Scientist

Polynomial.AI
09.2020 - 03.2021

Data Analyst

Learning Curve
01.2020 - 08.2020

Business Analyst

Enverus
06.2019 - 12.2019

B.Tech -

University of Petroleum And Energy Studies
Shubham Yadav