Machine Learning Data Analytics

Rudra Vignesh Venugopalan

Dallas, Texas, *****; +1-469-***-****; *********@********.***

www.linkedin.com/in/rudravignesh/

EDUCATION

The University of Texas at Dallas Aug 2023 – May 2025 Master of Science, Financial Technology and Data Analytics GPA 3.8 Indian Institute of Management, Trichy, India Jan 2022 – Feb 2023 Post Graduate Certificate in Executive General Management GPA 3.4 SASTRA University, India Jul 2014 – May 2018

Bachelor of Technology, Mechanical Engineering GPA 3.2 SKILLS & CERTIFICATIONS

Software & Business Analytics: Python (NumPy, Pandas, Scikit, Matplotlib, PySpark, TensorFlow, Keras, Reinforcement Learning), SQL, MySQL, Oracle, Mongo, C++, Tableau, SAS, Advanced Excel, Studio3T, PowerPoint, Power BI, R, JavaScript, CATIA(Certified) RECOGNITIONS: Winner, Zerodha 60-Day (Equity Trading) Challenge PROJECTS

Credit Risk Model: Predicted the probability of default for a customer by developing various machine learning models - Decision Tree (DT), Logistic Regression and Neural Network. XGBoost (DT) yielded the best AUC score. The developed strategy set 0.7 as a conservative threshold and the model resulted in less than 1% actual default; 4.8% default for an aggressive threshold at 0.8. Algorithmic Trading Model: Developed a model which uses technical indicators and machine learning concepts to predict trade signals and prices using immediate volatility and momentum. The test sample has an accuracy of 54% for a 1:2 risk-reward ratio. Anomaly Detection: Implemented an unsupervised Isolation Forest algorithm to detect credit card frauds. The model aimed to strike a balance between minimizing false positives without compromising on actual fraud. Image Based Trading: Developed a trading model leveraging 2-D Convolutional Neural Network based on image processing principles. Trained the model using backpropagation and optimized hyperparameters, model had 58% accuracy. PROFESSIONAL EXPERIENCE

The University of Texas at Dallas, Tx, USA Oct 2023 – Present Shift Lead, Parking & Transportation Services (Student Assistant)

• Created stored procedures to facilitate custom filtering and sorting within application tables, resulting in a 34% improvement in handling time.

• Programmed an app using Power Automate that automates emails to different teams reducing manual effort by half. SS Structurals, India Nov 2019 – Jul 2023

Team Lead, Financial Planning and Operations

• Developed a Business Calculator using MS XL(Data Analysis Package) to analyze revenue projection sensitivity. Identified key drivers of revenue variability and optimized financial strategies for a forecast accuracy improvement. The calculator serves for data-driven decision-making in strategic planning and budgeting.

• Advised on python based statistical approach for exploring raw material inventory data, enhancing the prediction of inventory aging; optimization led to a reduction in inventory holding cost.

• Analyzed the existing business models using PERT method to find the critical path and provided comprehensive solutions to increase productivity by up to 3.6x with no additional manpower, governance, resource, or capacity.

• Performed meticulous capital budgeting, strategically positioning the company for a lucrative contract with Tata Projects Ltd via a reverse auction (post closed bidding). Utilized Excel macros to optimize profits and reduced cost by 3% points. Ninjacart (Co-owned by Walmart Inc.), Bangalore, India Jan 2019 – Oct 2019 Human Resources Operations & Payroll Executive

• Implemented Robotic Process Automation to automate creation of Provident Fund accounts for 11000 employees, across seven business units; assisted in employee tax planning strategies.

• Orchestrated the optimization of HR Payroll & Compliance processes that included managing compensation & benefits data, overseeing ESOP distribution and insurance coverage which aligned with the business strategy. Course Works & Techniques: Statistics, Data Science (Regression, Ensemble models, Clustering), HVAC, Natural Language Processing, Mathematical and Analytical Finance, Portfolio Management, Derivatives & Underwriting, Macroeconomics & Financial Markets, Robotic Process Automation (Automation Anywhere, Power Automate, UiPath), GAAP Accounting

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