Siranthini Vijay

Entry Level Data Scientist | Data Analyst | Machine Learning Engineer | Masters in Data Science | Expert in Python, ML and Data Analysis | Actively looking for opportunities

Experienced in leveraging analytics for data-driven decisions in Banking and IT sectors, focusing on Credit Risk Analysis, Payment Processing, and KYC Compliance. My background combines extensive work in financial analysis, risk management, and operational improvements, enriching business operations and customer experiences.

Domain Experience:
Banking Operations: Elevated payment and KYC processes, marrying efficiency with security.
Credit Risk Management: Leveraged predictive analytics to mitigate financial risks, protecting business interests.
CRM & Financial Reporting: Enhanced customer engagement and ensured financial integrity through data-driven strategies.
IT Solutions: Spearheaded software development projects, enhancing data communication and accessibility within organizations.

Tools & Technologies:
Data Analysis & Visualization: Advanced proficiency in SQL, Power BI, Tableau and Excel.
Programming: Proficient in Python and R for statistical analysis and model development.
Cloud Computing: Knowledgeable in cloud platforms, particularly AWS and Azure.

Key Projects:
Credit Card Fraud Classification: Leveraged machine learning to detect and prevent fraudulent transactions, significantly reducing financial losses.
Insurance Pricing Model: Developed predictive models to set fair and competitive insurance premiums, aligning with risk profiles.
Regulatory Compliance Dashboard: Developed a comprehensive dashboard to monitor and report on regulatory compliance across banking operations, improving transparency and accountability.

As an individual committed to responsibility, work flexibility, and adaptability, I thrive on challenges and am driven by a desire to make a tangible impact. I'm passionate about continuing to evolve my blend of analytical skills and financial acumen to meet the dynamic needs of the finance and IT sectors.

Masters in Data Science 

Modules: Programming for Data Science(Python, R), Machine Learning, Deep Learning, Big data and Data Visualisations, Database Management System, Information Retrieval.