Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Manager @ National Stock Exchange of India | IIT Kharagpur | Data Scientist | Fraud Detection ML | Financial Data Analytics
I’m a Data Scientist and Techno-Functional Manager at the National Stock Exchange (NSE), where I work on building intelligent analytics systems that combine machine learning with financial data to support data-driven insights and operational decision-making. My work involves applying advanced analytics and machine learning techniques to analyze large-scale financial and transactional datasets. I specialize in fraud detection and financial data analytics, using machine learning, anomaly detection techniques, and deep learning models to identify unusual patterns in data. I also work with NLP and explainable AI methods to build transparent and interpretable models for financial analytics applications. I’m passionate about developing scalable AI solutions that simplify financial analytics, detect anomalous patterns in large datasets, and enable more efficient data-driven decision frameworks. I’m always open to opportunities in Fraud ML, financial data analytics, and AI-driven FinTech systems that combine innovation, scale, and measurable business impact.
Indian Institute of Technology, Kharagpur
Dual degree(Btech+Mtech), Ece and Vision and Intelligent Systems
July 1, 2019 – May 1, 2024
Narayana Institute
Intermediate
April 1, 2017 – May 1, 2019
Tvr high school
Class X
June 1, 2016 – April 1, 2017
NSE India
Manager (Data Warehouse and Business Intelligence)
December 1, 2024 – Present
Mumbai, Maharashtra, India
NSE India
Technical Trainee
June 1, 2024 – December 1, 2024
Mumbai, Maharashtra, India
Personifwy
AI Engineer
August 1, 2023 – October 1, 2023
Remote · Remote
The Sparks Foundation
Datascience and Business Analyst Internship
May 1, 2023 – June 1, 2023
Hybrid
Data Analysis with Pandas, NumPy and PostgreSQL -Masterclass
Udemy
June 25, 2026 – Present
Data Analyst Boot camp 2023: Get Ready to Be a Data Analyst.
Noble Work Foundation
June 25, 2026 – Present
R programming language for Data Analysis and Data visualization
Udemy
June 25, 2026 – Present
Data Science: Python for Data Analysis 2023 Full Bootcamp
Udemy
June 25, 2026 – Present
Advanced SQL and PostgreSQL: The Complete Developer's Guide
Udemy
June 25, 2026 – Present
Tableau Certified Data Analyst course for Data Analysis and Data Visualization
Udemy
June 25, 2026 – Present
Sql for data analytics
Noble Work Foundation
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong inclination towards data science, AI, and data analysis, as evidenced by their education, internships, and numerous certifications. While the target role is 'Backend Engineer', the current experience and certifications lean heavily towards data-centric roles. This suggests a potential mismatch in primary skill focus, though backend engineering skills are foundational for many data systems. The diversity of internships and certifications indicates a willingness to learn and adapt.
Soft Skills & Operational Fit
The candidate's experience includes roles like 'Manager' and 'Technical Trainee' at NSE India, suggesting exposure to structured corporate environments. Internship experience in AI and Data Science indicates an interest in analytical and problem-solving roles. However, specific details on collaboration, leadership, or project management within these roles are not provided, making a detailed assessment of soft skills and operational fit challenging.