KrishnaPriya Chidambaram
Data Scientist
Mangalore
Summary
Meticulous Data Scientist accomplished in compiling, transforming and analyzing complex information through software. Expert in machine learning and large dataset management. Demonstrated success in identifying relationships and building solutions to business problems. To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills. Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy.
Overview
13
13
years of professional experience
Work History
Data Scientist
Sundaram Finance Limited
09.2017 - Current
- Developed and deployed predictive models like STP (Straight-Through Processing) Models and WC (Working Capital) models using machine learning algorithms, resulting in filtering a good profile portfolio for auto approvals and increasing WC conversions from 3% to 15%.
- Conducted data cleaning, preprocessing, and exploratory data analysis on large datasets to uncover insights and trends.
- Implemented and tested machine learning models using XGBoost and neural network models, resulting in an increase in good profile conversions.
- Collaborated with cross-functional teams to understand business requirements and deliver data-driven solutions. Worked on a project called Sundaram Credit Line, which provides WC loans on a collateral basis.
- Built the WC model and contributed to designing the product from end to end, including requirement gathering, model development, and deployment.
- Developed end-to-end solutions encompassing data ingestion, feature engineering, model training, and evaluation.
- Provided actionable insights and recommendations to improve product performance and customer experience.
- Mentored junior team members in best practices for data science methodologies, fostering a culture of continuous improvement.Conducted training sessions and workshops to enhance their understanding of machine learning techniques, data preprocessing, and model evaluation.
Provided one-on-one coaching and feedback to help them grow their skills and confidence in handling complex data science projects.
- Presented findings and results to Managing Director (MD) and Deputy Managing Director (DMD) for future development.Created comprehensive reports and visual presentations to effectively communicate complex data insights and model performance.
Facilitated discussions on strategic implications of the data findings, leading to informed decision-making and strategic planning for product enhancements and new feature development.
Junior Data Scientist
Sundaram Finance Limited
09.2013 - Current
- Developed custom data visualizations to effectively communicate insights to stakeholders and decisionmakers.
- Utilized version control systems like Git for efficient collaboration among team members on complex projects involving multiple contributors.
- Employed advanced analytics tools like R for sophisticated statistical modeling when needed.
- Conducted statistical analyses to identify trends, relationships, and anomalies in large datasets.
- Presented findings in clear, concise reports for both technical and non-technical audiences, facilitating informed decisionmaking.
- Enhanced data accuracy by cleaning and preprocessing datasets for analysis.
Education
MBA -
Thiagarajar School of Managment
Madurai, India 04.2001 -
Skills
Python Programming
Machine Learning
Statistical Analysis
SQL Databases
Data Mining
Scikit-Learn
Neural Networks
Database Management
R Programming
Probability Theory
Data Visualization
Analytical Skills
Problem-solving abilities
Analytical Thinking
Problem-Solving
Teamwork and Collaboration
Decision-Making
Excellent Communication
Problem-solving aptitude
Interpersonal Skills
Relationship Building
Data programming
Timeline
Data Scientist
Sundaram Finance Limited
09.2017 - Current
Junior Data Scientist
Sundaram Finance Limited
09.2013 - Current
MBA -
Thiagarajar School of Managment
04.2001 -