TADANKI GAYITHRI SAI KAUSHIK
Mumbai
Summary
Experienced professional with a solid 2-year 7-month tenure in an investment bank, showcasing proficiency in Python, SQL, and Excel. Thrives in complex financial environments, demonstrating strong ability in navigating intricate data analysis and problem-solving. Seeks opportunity to contribute to a forward-thinking organization, aiming to leverage skills for mutual growth and success.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Associate, Liquidity Risk
Morgan Stanley
01.2025 - Current
- Elevated role to identify key automation areas, increasing project ownership.
- Functioned as the main liaison for Liquidity Risk India, driving the automation of manual processes.
- Developed a methodology for report analysis to distinguish key and non-key attributes.
- Led the Prime Brokerage analysis to identify critical components for inclusion in Liquidity Risk Data Initiatives.
Analyst, Liquidity Risk
Morgan Stanley
07.2022 - 01.2025
- Led the product ownership for Secured Funding data, data sourcing models, and audit transaction testing.
- Identified and resolved key issues in upstream systems, successfully improving data quality in Senior Management reports through enhanced secured funding data sourcing models.
- Overcame complexities to achieve accurate and thorough testing, setting a precedent for future audits
- Analyzed critical risk attributes in Prime Brokerage and Secured Funding reports for BCBS239 compliance.
- Analyzed liquidity risk user data with upstream data to ensure control accuracy, completeness, and timeliness.
- Developed and delivered impactful presentations for senior management, effectively communicating complex data and strategic insights
- Tools used- Microsoft Excel, SQL, Python; Analytics- Excel, SQL, Python; Presentation- Microsoft PowerPoint
- Specialization- Data Strategy in Investment Banking, Predictive Analysis, Data Science, Machine Learning, Big Data
Data Science Summer Intern
ADP
05.2022 - 07.2022
- Developed predictive web based models for Employee Performance Prediction using algorithms like Random Forest, achieving a 15% accuracy boost
- Also, conducted A/B testing for optimization
- Utilized NLP techniques (Word2Vec, TF-IDF) for sentiment analysis in HR Texts
- Also, tailored models to industry-specific language, analyzing unstructured data for actionable HR insights
Education
B.tech - Information Technology
Sreenidhi Institute of Science and Technology
01.2022
Class 12 -
Delhi Public School
01.2018
Class 10 -
Delhi Public School
01.2016
Skills
- Python programming
- SQL
- Microsoft Excel proficiency
- Data analysis
- Problem-solving
- PowerPoint
- Visio
- Power BI
Certification
- AWS Academy Graduate - Cloud Foundations, AWS Academy
- AWS Academy Graduate - Data Analytics, AWS Academy
- Machine Learning, TechiMax
- Data Analytics, EduSkills
- Data Science, DevStack Student Internship Program
- Transaction Testing, Microsoft Excel, SQL
- Visualization, Power BI (Limited experience)
- Additional Tools, Microsoft Visio, IBM Open Pages
Position of responsibility
General Secretary, TechVision Club, 08/20, 11/21, Conducted technical events to enhance technical skills for students.
Timeline
Associate, Liquidity Risk
Morgan Stanley
01.2025 - Current
Analyst, Liquidity Risk
Morgan Stanley
07.2022 - 01.2025
Data Science Summer Intern
ADP
05.2022 - 07.2022
Class 12 -
Delhi Public School
Class 10 -
Delhi Public School
B.tech - Information Technology
Sreenidhi Institute of Science and Technology
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