Data Analyst Information Technology

Aishwarya B. Chaudhari Email: **************@*****.*** Mobile: 922-***-****

LinkedIn: https://www.linkedin.com/in/aishwarya-chaudhari-s19/ SUMMARY

Competent, confident and Results-driven, Data Analyst with 1.5 years of experience in the finance industry, specializing in analyzing and interpreting complex data sets to drive informed business decisions. Adept at leveraging statistical tools and techniques to uncover trends, optimize processes, and support strategic initiatives. Proven track record in working with financial data to provide actionable insights that enhance financial performance and decision-making. Committed to delivering high- quality analysis and contributing to the success of dynamic financial organizations. EDUCATION

Masters of Science in Artificial Intelligence, 9.42 cgpa, June 2021 – June 2023 – University of Mumbai. Bachelor of Science in Information Technology, 9.15 cgpa June 2018 - May2021 – University of Mumbai. WORK EXPERIENCE

Data Analyst, Abans Group, Mumbai Sep 2023 - Present Strategy Backtesting Model using NSE Data:

• Developed a Comprehensive Backtesting Model: Created a strategy backtesting model using NSE Bhavcopy data to analyze historical performance and validate trading strategies.

• Data Integration and Preprocessing: Integrated NSE Bhavcopy data and performed preprocessing steps to ensure data accuracy and consistency for analysis.

• Implementation of Trading Strategies: Implemented various trading strategies within the model, allowing for flexible scenario analysis and performance evaluation.

• User Interface Development: Designed and developed a user-friendly interface using Tkinter to facilitate input parameter adjustments and strategy customization.

• Visualization and Reporting: Utilized Matplotlib to create detailed visualizations of strategy performance, including profit and loss graphs, drawdown charts, and other key metrics. Bhavcopy Analysis:

• Implemented calculations for option Greeks, including Delta, Gamma, Theta, Vega, Rho, Vanna, Vomma, and Veta.

• Utilized mathematical and statistical libraries in Python to derive complex financial metrics.

• Developed Python scripts to automate the process of calculating and analyzing option Greeks.

• Conducted in-depth financial analysis on stock and index options data.

• Provided insights into the behavior of different options and their sensitivities to various factors. Data Analyst Intern, Tata Consultancy Services, Mumbai Aug 2022 - Dec 2022

• Analyzed movie reviews data to classify sentiments as positive, negative or neutral using NLP.

• The deep learning neural network model was able to achieve high accuracy in sentiment classification and provided valuable insights into customer opinions. The model achieved accuracy of 88%. CERTIFICATIONS

● Artificial Intelligence for Real World Application – TCS ion Industry Honour Certification.

● Machine Learning – TCS ion Industry Honour Certification.

● RPA Foundation – TCS ion Industry Honour Certification.

● Computer Vision – TCS ion Industry Honour Certification.

● Reinforcement Learning – TCS ion Industry Honour Certification.

● Short course on Pen Testing by Charles Sturt University.

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