Ayesha Balkrishna Shetty

Boston, MA 857-***-**** ad3jyr@r.postjobfree.com LinkedIn

EDUCATION

Northeastern University, Boston, MA 2024

Master of Science in Quantitative Finance

Relevant courses: Fintech, Data Analytics in Finance, Financial math and Financial markets, Corporate Finance, Investment Analysis.

Xavier Institute of Engineering, University of Mumbai, Mumbai, India. 2021 Bachelor of Engineering in Computer Science

EXPERIENCE

Infosys Ltd, India 2021 - 2023

System Engineer

• Executed multiple projects as a Technology Analyst for Oracle HCM.

• Conducted comprehensive Azure testing in DbVisualizer, leveraging Oracle technology to meticulously assess a diverse range of test cases.

• Collaborated with DHL Supply Chain to conduct System Integration Testing (SIT), ensuring the robustness and reliability of implemented solutions.

• Engaged in end-to-end business process flow analysis for Kroger, utilizing DbVisualizer to enhance the technical team's efficiency.

• Led a dedicated team for DHL Supply Chain's SIT testing project, ensuring adherence to project timelines and quality standards.

• Recognized for exceptional contributions and awarded two promotions, transitioning from Trainee Engineer in 2021 to System Engineer in 2022 PROJECT MANAGEMENT AND PRODUCTIVITY TOOLS

• MATLAB • Database Management System DBMS

• Web Technologies: HTML, JavaScript • Microsoft Excel, Word

• Programming language : Python, C++

PROJECTS AND PUBLICATIONS

• The Values & Risks of Investor Judgement: A Comparison of the Markowitz & Black-Litterman Models

Explored the value and risk of considering an investor’s prespective in a portfolio optimization model by comparing the Markowitz Mean-Variance and Black-Litterman Models in MATLAB. 2023

• Customer Purchase analysis on E-Commerce using Ensemble learning XGBoost, Light Gradient Boosting and Logistic Regression, Jupyter

Analysed human behaviour of customers by creating a database with all the factors affecting customer purchasing decisions and using ensemble learning technique for analysis and accuracy. 2021

• Autocomplete Using NLP Natural Language Processing (TFIDF Vectorizer, Ranking Function) Utilized NLP techniques, including TFIDF Vectorizer, to analyse user-typed words' frequency and employed a Ranking Function to predict and suggest supportive words and phrases during typing. 2021

• Fake News Detection Using ML NLP(TDIDF Vectorizer, Multinomial Bayes) and PYTHON Modules(Flask, Pickle)

Developed a Fake News detection system utilizing natural language processing techniques, including TFIDF Vectorizer and Multinomial Bayes, to analyse news articles extracted from a website, determining their authenticity and classifying them as fake or real, with results stored using Pickle. 2020

CERTIFICATION

• Introduction to Python Datacamp certification. 2024

• Intermediate Python, Datacamp certification. 2024

• MATLAB Onramp Certification from MathWorks 2023

• Excel SSC Advance certification from Certipoint quality assessment 2022 SKILLS

• Proficient in analysing financial data • Translating insights into strategic recommendations

• Proficient in identifying trends • Strong written and verbal communication skills.

• Strong statistical and calculus skills. • Hands-on experience on Python. EXTRA-CURRICULAR ACTIVITIES

• Head of Department for the Blog IT Committee for College cultural event.

• Hosted the Induction program for Women’s Development Cell.

• Beach cleaning on World Environment Day. • Part of the Finance team in Northeastern ‘s Sanskriti team.

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