Summary
Overview
Work History
Education
Skills
Certification
Technical Experience
Affiliations
References
Timeline
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Vedant Kabra

Sydney,NSW

Summary

Analytical professional with technical knowledge and critical thinking skills to thrive in data-driven environments. Tackles challenges with positivity and drive to overcome. Works great alone or with others and consistently exceeds expectations. Goal Driven Analyst with excellent research, technical, and problem-solving skills. Detail-oriented and able to learn new concepts quickly.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Data and Insights Analyst

Macquarie Group
Sydney, NSW
09.2022 - Current
  • Created reports, presentations, and other documentation for stakeholders.
  • Implemented strategies for automating manual processes within the organization.
  • Delivered analytic support to identify high-priority opportunities and prospective clients to build pipelines.
  • Developed dashboards to track productivity and expedite remediation of issues.
  • Developed data pipelines and Alteryx workflows for Macquaire Group, serving all business units.
  • Achieved nearly 60% efficiency improvement in existing workflows through performance optimization.
  • Collaborated with cross-functional teams on projects related to analytics initiatives.

Data Science Intern

HDFC ERGO
Mumbai, Maharashtra
07.2021 - 12.2021
  • Built machine learning models for classification and regression problems to provide insights into sector-wise costs for the company. Evaluated model performance metrics such as accuracy, precision, recall, F1 score.
  • Performed exploratory data analysis on large datasets to identify patterns and trends.
  • Created visualizations of data with Tableau, PowerBI, and R Shiny.
  • Analyzed health claims patient record data and processing time to optimize time and cost. Developed interactive dashboards in Python using libraries like Plotly or Dashboard frameworks like Flask or Django.

Research Intern

University of Massachusetts Boston
Boston, Massachusetts
05.2020 - 10.2020
  • Conducted extensive research spanning 20 years on daily prices of diverse financial series, including sector ETFs and individual stocks within the S&P 500.
  • Utilized a combination of switching models and advanced machine learning techniques to identify and validate investment rotation strategies that surpass the effectiveness of traditional buy-and-hold approaches.
  • Employed PYHMM (Python Hidden Markov Models) and incorporated insights from the Volatility Index (VIX) to uncover nuanced patterns within the financial data.
  • The research findings were presented and published at the Boston QWAFAFEW event in September 2020, providing an opportunity for engagement and discussion among industry experts.
  • Further solidifying its impact, the research was subsequently presented and published at The Global Finance Conference in Florida in May 2021.
  • Accepted for publication by the Journal of Portfolio Management (JPM), this paper on investment rotation strategies using switching models and machine learning techniques has been published in July 2022.

Education

Bachelor of Data Science -

S P Jain School of Global Management
05-2022

Skills

  • BI Dashboards
  • Statistical Analysis
  • Data Mining
  • Python Programming
  • Machine Learning
  • Data Warehousing
  • Data Quality
  • Tableau
  • Data Analysis
  • NoSQL Databases
  • Structured Query Language (SQL)
  • Informatica Platform
  • Git
  • Business Performance Analysis
  • Google Analytics

Certification

  • Data Structures and Algorithms (Classroom), S P Jain School of Global Management, Bombay, 12/2019 - 04/2020
  • Advanced Statistics (Classroom/Contact), S P Jain School of Global Management, Bombay, 01/2020 - 04/2020

Technical Experience

  • AWS DeepRacer, SP Jain, Sydney, 12/2019, Used AWS SageMaker to train a Reinforcement Learning model for a self-driving car Ranked No. 1 in the in-college competition for the most accurate and fastest self – driving AWS DeepRacer
  • IOT Project- TAHAD (temperature and humidity alerting device), SP Jain (Student Project), Sydney, 2019, J.P Aggarwal, Created a device using Raspberry pi and DHT11 Sensor, which triggered a reading of the temperature and humidity of the room. The code was written in python executed on Raspbian operating system.
  • Predicting the Price of a Car using Regression, Dr Suchismita Das, Created a model on Minitab by using a dataset from UCI machine learning laboratory on car prices and used stepwise multiple regression to predict the price with an accuracy of 99%.
  • Accounts Database, Dr Sunil Lakdawala, Created and implemented a relational database on Microsoft SMSS for SP Jain Accounts department

Affiliations

Digit Recognizer Using MNIST Dataset (04/2020 - 05/2020)

Used a combination of Random Forests, Neural Networks and Gradient Boosting to train a model

Used Cross Validation and Recall and Precision rates to improve on the model and succeeded in training a model which had a prediction accuracy of 98.5%

AWS DeepRacer (12/2019 - 02/2020)

Ranked No. 1 in the in-college competition for the most accurate and fastest self-driving AWS DeepRacer

Used AWS SageMaker to train a Reinforcement Learning model for a self-driving car

IOT Project- TAHAD (temperature and humidity alerting device) (11/2018 - 05/2019)

Created a device using Raspberry pi and DHT11 Sensor, which triggered a reading of the temperature and humidity of the room. The code was written in python executed on Raspbian operating system.

References

References available upon request.

Timeline

Data and Insights Analyst

Macquarie Group
09.2022 - Current

Data Science Intern

HDFC ERGO
07.2021 - 12.2021

Research Intern

University of Massachusetts Boston
05.2020 - 10.2020

Bachelor of Data Science -

S P Jain School of Global Management

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Vedant Kabra