Hi, It's Pranjal

I'm a

Grad Student from Purdue based in United States.

About Me

Innovative, self-driven and curious MS in Business Analytics and Information Management student with 2.5 years of experience in life sciences consulting firm, working in cross functional environment in procurement, compliance, ERM, HR, ESA and foundation.

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Projects

Leveraging Classification Algorithms: Advanced Modeling for Bankruptcy Prediction

Developed a Predictive Model by utilizing financial ratios and metrics to build a model predicting a firm's bankruptcy likelihood. Analyzed and Interpreted Financial Data by examining financial indicators to assess a firm's health and bankruptcy risk Measure Performance by AUC

SAS Python Tableau Alteryx

Airbnb's Super-host Prediction Model

Forecasted Airbnb 'Superhost' status in Chicago with 91% accuracy and estimated host occupancy rates. Conducted market competitiveness analysis using the Herfindahl Index and assessed potential investment ROI

LLM Python Pandas Numpy SEMMA

Cryptocurrency Price Prediction

Developed a Bidirectional LSTM model for predicting next-day closing prices with a MAPE of 16% and built a dynamic portfolio optimization algorithm incorporating profit-taking and stop-loss strategies

Long Short-Term Memory Financial Analysis Neural Networks Portfolio Management Predictive Analytics Predictive Modeling

Pricing Optimization

Enhanced “Indian-Chinese Fusion Kitchen” pricing strategy by conducting detailed conjoint and Van Westendorp pricing model, leading to optimized subscription models and menu offerings for increased profitability and customer satisfaction.

Pricing Strategy

Deep Learning Project

Developed personalized bid-fee strategy for pay-per-bid auctions to maximize revenue using optimal policy trees.

Deep Learning

Analytics Challenge

Predicted consumer activity type for the NCAA Women’s Basketball Tournament using an ensemble of XG Boost, Random Forest and Logistic Regression, achieving an accuracy of 98.5%. Team secured 3rd place at the university level.

Big Data Data Analysis Data Science Exploratory Data Analysis Machine Learning Regression Analysis Predictive Modeling Classification

Skills

SQL
Python
Microsoft Office
Refinitive
S & P Capital IQ
LLM
Automation
AWS Lambda
SAS Optimization
GCP
AWS
Azure
Tableau
SmartSheets
JIRA
PowerApps

Education & Experience

2017 - 2021

Bachelor of Engineering in Chemical Engineering – 3.7/4.0
Birla Institute of Technology, Mesra

Published a paper on subscription-based business model (ISSN: 2395-5252). Among the top 10% of the class with the GPA of 3.7/4.0

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Market Analyst at Futures First

  • Intra-day Trading: Conducted intra-day trading of WTI Futures.
  • Strategies Used:
    • Spreads
    • Flies
    • Jumbo Spreads
  • Exchange: Chicago Mercantile Exchange
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2021 - 2023

Associate Consultant at ZS Associates

  • Technology transfer: Created a dashboard to identify potential gaps during the technology transfer project for a new hem-onc drug, ensuring seamless transition from R&D to commercialization.
  • Forecasting: Mentored a team of two associates on transferring basic SAS code to SQL and automated the entire process using Tableau and acquiring APLD data knowledge, hence giving the opportunity to grow.
  • ERM: Assessed various areas of risk for 15 business units by calculating individual and cumulated risk scores, helped determine the priority order of action, and created a reporting process for the C-suite.
  • Drug Lifecycle Strategy: Designed a Commercialization Excellence Playbook with a team, addressed more than 300 potential issues in the life cycle of a drug, and focused on mitigating risks and next steps.
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2023 - 2024

Masters of Science in Business Analytics and Information Management Among the top 25% of the program with 3.6 GPA

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Graduate Teaching Assistant @ Purdue

  • Courses: Graduate TA for the MBA program at Purdue, assisting professors in:
    • Financial Modelling
    • Financing New Ventures
    • Frontiers in AI
    • Introduction to Algorithms
    • Introduction to Financial Management
    • Economics Experimentation
  • Main Functions:
    • Grading
    • Updating curriculum
    • Holding office hours
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Associate at Kearney Student Labs

  • EVP Model: Utilized the SEMMA framework to conduct a detailed analysis, employing feature selection and KNN analysis to derive tailored engagement strategies for distinct employee groups.
  • Retention and Optimization: Conducted in-depth data analysis on sentiment, retention trends, and HR cost optimization, delivering strategic insights for enhancing engagement and retention.

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