S&P Global

Senior Data Scientist

Continuation of my previous role from IHS Markit - merged with S&P Global

Data Scientist

DUBAI INSTITUTE OF PEOPLE

Honorary Associate Chief AI Officer (ACAIO)

IHS Markit

As a Data Scientist my role revolves around,
•	Analyzing huge volumes of automobiles data, driving insights from it and building sophisticated ML models to answer certain business questions or create new products for the organization.
•	Continuously communicate with different teams (stakeholders, business leads, product management, advanced analytics and IT) for timely delivery of the projects
• Support different systems (Connected cars, Autonomy, Light Vehicles, etc.,) to generate monthly analytics insight reports.
• Developed a ML Distribution Engine, which distributes the forecasted sales from regional level to individual country level.

Happiest Minds Technologies

1. Developed and deployed student churn and performance prediction models, and came up with important KPI by interpreting the machine learning model, which are the main factors for the student's performance.
2.  POC: Developed and deployed Automatic Content mapping using a simple flask app, which automatically maps the learning objective with the content using unsupervised semantic matching techniques.

ACHIEVEMENTS:
1. Received 2nd price in Hackathon for creating a ai powered adaptive interview bot. The key feature of this bot is - it can handle both descriptive and coding questions, and dynamically increase the difficulty level of the questions based on the user's response.

1. Working in the Centre of Excellence Unit as a Data Scientist doing Predictive analytics and modeling.
2. Designing and developing a generalized model maintenance pipeline – which includes, Fetching the data | model Training | Model Evaluation | Model challenger to perform the comparison of different models and choose the best one | Storing the results in SQL Server. This pipeline can be used to any type of machine learning model with minimal changes.
3. Using Python, Python+H2o.ai, R for implementing machine learning algorithms for predictive modeling, Performance modeling. And using Kafka, snowflakes, SQL Server to fetch and streamline the data.

ACHIEVEMENTS:
1. Received Customer Happiness Award - for bringing consistent exemplary performance resulting in excellent customer delight in Q2, FY20.

Tata consultancy service

1. Delivering and implementing the project as per scheduled milestones. Participating in Onsite deployment, customer support, and product up-gradation.
2. Interacting with the onshore team for requirements gathering, analysis, and implementations.
3. Preparing documentation for the projects (Functional and Technical)
4. Expertise in Requirement gathering, analysis, design, programming, Report generation, testing and creating pipelines for data cleaning/ data modeling.
5. Automating the daily reports, monitoring and enhancing the existing pipeline (Onsite - Johannesburg)

System Engineer

Senior Data Scientist specializing in Natural Language Processing and LLM with industrial experience in large-scale companies and a background in Artificial Intelligence from IIT Jammu.

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