Shalini
Hyderabad
Summary
Seasoned Data Scientist and Data Analyst experienced working with large datasets, breaking down information and applying interpretations to complex business concerns. Proficient in distribution, predictive and hypothetical modeling.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Scientist and Model Risk Management Lead
BANK OF AMERICA
Hyderabad
10.2020 - Current
- Pro-Active data scientist with 3.5+ years of expertise in intelligent data processing, handling and analysis
- Develop algorithms using natural language processing and deep learning models for classification, extraction and other business purposes
- consistently providing effective business solutions to develop and improve company performance and growth by leveraging data science ,used advanced analytical approaches, data visualization and data analysis for further evaluation
- Documented and handled the Model Risk management process for one of the biggest projects of the bank titled 'GWIM'.I effortlessly managed and coordinated with the model validators and Model owners
- Lead and managed operational risks associated with business activities, considering changing economic or market conditions, legal and regulatory requirements, operating procedures and practices, and the impact of new technology
- Leading the Model Risk Management(MRM) process as a Lead Model Developer by documenting, presenting and getting approval ensuring best data science practices for the model to move into production.
- My work also involved maintaining internal control standards, including timely implementation of internal and external audit actions together with any issues raised by external regulators.
- Developed and maintained predictive models to identify customer segments for targeted marketing campaigns.
- Analyzed data from various sources to generate insights into customer behavior and segmentation
- Created dashboards to monitor key performance indicators related to customer acquisition, retention, and engagement.
- Performed exploratory analysis on large datasets using SQL and Python libraries such as Pandas, NumPy, Scikit-Learn, and Matplotlib.
- Implemented supervised algorithm and worked on transformers in python environment for predictive analytics projects.
- Collaborated with Project leads, Model owners ,stake holders and Model validators for MRM approval and risk and compliance handling
Education
Btech. Computer Science and Engineering -
Vellore Institute of Technology
Skills
- Model Risk Management( professional Model Developer for MRM )
- Dbms and sql
- HTML, CSS and Javascript
- Machine learning
- Natural Language Processing
- Python
- Java
- Operating system
- Excel/VBA macros
- Data Visualisation
- Data insight Presentation
- Power BI and Tableau
- operating systems
- computer networks
- Statistical Analysis
- Business requirements gathering
- Agile Methodology
- Enterprise Resource Planning Software
- NoSQL Databases
- Internal Auditing
- KPI Tracking
Certification
- Introduction to Data Science in Python by University of Michigan
- Machine Learning by Stanford University
Awards
- Global Recognition(Bronze Award), Bank of america Leadership, Received Global Recognition for carry out the model building and MRM process for one of the biggest projects "GBAM" right from scratch and continuously handling queries from Model Validators effortlessly.
- Global Recongnition(Bronze Award), Bank of America Leadership, Received Global recognition Award from the Leadership for identifying the use case, increasing the accuracy of the extraction model ,publishing and developing the ML model from scratch along with detailed analysis and insight presentation to stakeholders.
Projects (College)
Twitter Sentiment Analysis: Determined the emotional tone behind a series of words, specifically on Twitter. A sentiment analysis tool is an automated technique that extracts meaningful customer information related to their attitudes, emotions, and opinions.
Traffic Light detection:To give input of different images and get output of the detected signal lights. Traffic light detection and recognition is essential for autonomous driving in urban environments.
Timeline
Data Scientist and Model Risk Management Lead
BANK OF AMERICA
10.2020 - Current
Btech. Computer Science and Engineering -
Vellore Institute of Technology
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