Profile Kunal Gera – Data Scientist

Data Analyst mentor Data Science

Mentor’s Summary:
A visionary and dedicated faculty member with a proven track record of transforming industries through the application of artificial intelligence and machine learning. With over five successful AI projects under my belt across diverse sectors such as finance, banking, fintech, and manufacturing, I bring a wealth of experience in consumer analytics, credit card analytics, and the development of AI-driven solutions for risk management, fraud detection, and personalized financial services. Specializing in designing ML project architectures, managing ML Ops, and leveraging the power of NLP and Computer Vision, I am adept at addressing key challenges in the financial and manufacturing industries.

Expertise

  • Technology: Advanced knowledge in AI, ML, and data analytics, with a focus on developing innovative solutions.
  • BFSI: Deep understanding of banking, financial services, and insurance, including risk management, fraud detection, and regulatory compliance.
  • Manufacturing: Expertise in leveraging AI and ML to optimize processes, enhance quality control, and drive operational efficiency.

Education

  • Indian Institute of Management, Calcutta
    • Executive Program in Business Analytics
  • Massachusetts Institute of Technology, USA (MITx)
    • The Analytical Edge
  • DAV Institute of Management
    • Bachelor of Computer Application (BCA)

Teaching Experience

With over 4000 hours of training delivered to more than 5000 participants, I consistently achieve an average rating of 4.75 out of 5. My teaching engagements include:

  • Management Colleges
    • McCombs School of Business (University of Texas)
    • DIAS
    • JIMS
    • NDIM
  • Technology Institutes
    • BMU
    • IIT Madras
  • Online Education Platforms
    • Great Learning
    • Simplilearn
    • Scalar
  • India Team Lead
    • USA live-project delivery institutes

Book Published

The Artificial Intelligence Infrastructure, August 2020

  • Packt Publication, UK & India
    • Understand the distinctions between artificial intelligence, machine learning, and deep learning.
    • Discover the data storage requirements of various AI applications through case studies.
    • Explore popular data solutions such as Hadoop Distributed File System (HDFS) and Amazon Simple Storage Service (S3).

Professional Experience

  • Reegera Fintech
  • Deloitte TTI Pvt Ltd.
  • Infrasoft Technologies Ltd.
  • Lucent Business Sol Pvt Ltd.
  • CRISIL Ltd.

Business Skills

  • Finance & Banking Acumen
  • Fraud Detection
  • Predictive Analytics
  • Regulatory Compliance (KYC, AML)

Technical Skills

Core AI/ML Skills:

  • Machine Learning (Supervised, Unsupervised)
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision

Tools and Technologies:

  • Python, R Programming
  • Tableau, Power BI
  • Cloud Computing (AWS, Azure, GCP)
  • Deep Learning and Generative AI