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Ajay Shukla

AI Researcher

Gurugram, Haryana, India7 yrs 6 mos experience

Key Highlights

  • Over 7 years of experience in data science and engineering.
  • Developed predictive models saving $50 million for Delhi Metro.
  • Expert in machine learning and deep learning applications.
Stackforce AI infers this person is a Data Science and Engineering expert in Fintech and Agritech sectors.

Contact

Skills

Core Skills

Data ScienceMachine LearningNlpDeep LearningCicdData Engineering

Other Skills

Apache AirflowAutomationComputer VisionContinuous Integration and Continuous Delivery (CI/CD)Data AnalysisData ReportingData StructuresData VisualizationData WarehousingDockerEducational TechnologyElastic Stack (ELK)KubernetesMentoringMongoDB

About

Hello, I am Ajay Shukla, an engineering and analytical professional with a strong passion for learning and a deep interest in software development. I believe that as software continues to evolve, it holds the potential to greatly simplify and enhance human life. With over 7+ years of hands-on experience in data science and engineering, I bring a comprehensive understanding of the field. I am also deeply committed to scientific methodology and staying updated with the latest technological trends. My key areas of expertise include: - Data Science - Machine Learning - Deep Learning - NLP In addition to my technical background, I am actively developing my entrepreneurial skills, with the goal of becoming a successful entrepreneur in the near future. Connect with me - https://topmate.io/engineer_ajay

Experience

Deloitte

Deputy Manager - Data Science

Oct 2024Present · 1 yr 5 mos · Gurugram, Haryana, India · On-site

  • ● Collaborate closely with clients to identify requirements, design solutions, and deliver software products.
  • ● Developed dashboards for merchants, generating $10 million in revenue for Mastercard by analyzing sales, market share, average ticket size and online insights.
  • ● Developed an event-based predictive model for Delhi Metro, predicting car, lift, and escalator discrepancies within the next 4 hours to enhance operational efficiency and achieve significant cost savings of $50 million.
  • ● Built an automated fault tagging system using GeminiAI 2.5 Pro, leveraging NLP to classify metro maintenance issues from technician descriptions, reducing manual effort.
  • ● Developed a computer vision model for Delhi Metro aimed at detecting discrepancies in the overhead equipment (OHE) and identifying spark in the electric wires.
Data ScienceMachine LearningDeep LearningNLPData Visualization

Agribazaar

2 roles

VP - Data Scientist

Apr 2024Oct 2024 · 6 mos · Noida, Uttar Pradesh, India · On-site

AVP - Data Scientist

Aug 2022Mar 2024 · 1 yr 7 mos · Noida, Uttar Pradesh, India · On-site

  • ● Collaborate closely with cross-functional teams to identify requirements, design solutions, and deliver software products.
  • ● Developed a deep learning based remote sensing crop classification model, reducing company costs by 40% annually.
  • ● Developed a computer vision model for detecting diseases in wheat and paddy, enhancing agricultural productivity and crop management efficiency by 20%.
  • ● Developed an English-to-SQL query converter using LLM for in house team, enhancing data retrieval efficiency by 15%.
Data ScienceMachine LearningDeep LearningAutomation

Bpb

Technical Reviewer

Mar 2023May 2023 · 2 mos · Noida, Uttar Pradesh, India · Remote

  • ● Ensuring the book's content for accuracy and relevance.
  • ● Ensuring the concepts are explained in a logical sequence and that the text is comprehensible to the school management / students.
  • ● Ensuring consistency in terminology, formatting, and style throughout the book.
Data ScienceMachine LearningAutomation

Boeing

2 roles

Scrum Master

May 2022Aug 2022 · 3 mos

  • ● Facilitation of Agile ceremonies.
  • ● Adoption of scrum across development teams.
  • ● Discussion & collaboration between product owner and development teams.

Real Time Software Engineer

Sep 2021Aug 2022 · 11 mos

  • 𝐓𝐀 (𝐓𝐞𝐬𝐭 & 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦)
  • ● Developing automated pipelines to test and analyze any model of aircraft and try to reduce test and analyze time from 6 month to a few hours. Used technologies are Python, CICD, Docker.
  • ● Automate deployment, scaling, and management processes using Docker containers and Kubernetes orchestration.
CICDPythonDockerKubernetes

Finezza

SDE - Data Scientist

Jul 2018Aug 2021 · 3 yrs 1 mo · Bengaluru, Karnataka, India · On-site

  • 𝐎𝐂𝐄𝐍
  • ● Responsible for creating lsp’s bridge between lenders and consumers. Using lsp bridge loans are disbursed instantly into a bank account after just a 5 minute end-to-end digital application. Used technologies are Python, flask and ocen.
  • 𝐑𝐮𝐥𝐞 𝐄𝐧𝐠𝐢𝐧𝐞
  • ● Develop a financial decisioning rule engine. Using a rule engine credit officer able to change the financial rules in 5 minutes. Used technologies are Business Central, Drool, Java, Postman, Apache Jmeter.
  • 𝐁𝐒𝐀/𝐏𝐫𝐞𝐜𝐢𝐬𝐚
  • ● Develop real time data processing pipelines using kafka, Logstash and Elasticsearch.
  • ● Generated reports for management, sales officers and technical team - increasing team efficiency of all employees by 20%.
  • ● Maintained a real time alerting system for the technical team, improving customer satisfaction by 15%.
  • 𝐑𝐞𝐩𝐨𝐫𝐭𝐢𝐧𝐠 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞
  • ● Develop ETL pipelines using python, Airflow, MySQL, MongoDB and Elasticsearch.
  • ● Responsible for combining, cleaning, formatting and storing data.
  • ● Responsible for maintaining data warehousing.
  • ● Develop distributed observability platforms using ELK for reporting. Reports are used by management, sales, credit and tech team - increasing team efficiency of all employees by 15%.
Data EngineeringData WarehousingData VisualizationData ScienceMachine Learning

Education

Liverpool John Moores University

Master of Science - M.Sc — Data Science

Nov 2023Nov 2024

International Institute of Information Technology Bangalore

PGD Data Science — Data Science

Nov 2021Nov 2022

Institute of Engineering and Technology

Master of Computer Applications — Computer Science

Jan 2015Jan 2018

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