Shreya Acharya

Motivated student with a strong foundation in statistical modeling, machine learning, and data analysis, dedicated to leveraging data-driven methodologies for impactful decision-making. Proven expertise in Python, R, SQL, and Excel, complemented by certifications in AI and Machine Learning. Demonstrated ability to deliver actionable insights through creative problem-solving and innovative research approaches. Committed to continuous professional development and staying at the forefront of technological advancements.

Date of Birth: 09/08/02

1. Debt Collection Model for Mass Receivables (Nov 2024)

• Developed a decision-tree-based debt collection model, achieving 89% accuracy in repayment classification.
• Designed a risk scoring system to prioritize high-potential debts, using XGBoost.
• Created 7 actionable rules to streamline collection, reducing costs and employee workload.
• Enhanced efficiency with real-time scoring and data-driven interventions, boosting recovery rates.
• Software used: Python

2. Mean Survival Time  to Justice Delivery in  Indian High Courts (April 2024)

• High court data in excel spreadsheets was collected from ecourts.gov.in  
• Calculated mean survival time of cases in two high courts of India.
• Investigated factors that affect case disposal using cox regression using R studio         
• Classified cases based on severity of crimes for better understanding and calculated  
  survival times for the same.
• Software used: R, Python, Ms Excel

3. Customer Churn Analysis using Gaussian Mixture Modelling (Nov 2023)

• Collected secondary data from a telecom company of 1500 customers
• Found the best fitting Gaussian Mixture Model  
• Predicted churn and non-churn probabilities for a given customer with an
  accuracy of 89.44%.
• Identified diverse 5 customer segments based on their likelihood of churn.
• Proposed retention strategies for customer segments based on GMM.
• Software used: R, Ms Excel

• Short term course in Python: Core and Advance (CMIT)

• SQL for Data Analysis (LinkedIn Learning)

• Artificial Intelligence Foundations: Machine Learning (LinkedIn Learning)

• Generative AI: Introduction to Large Language Models (LinkedIn Learning)

• Machine Learning with Scikit-Learn (LinkedIn Learning)

Classical Singing | Hiking & trekking |Running

Classical Singing: Praveshika Pratham, Akhil Bhartiya Gandharva Vidyalaya 2023

Team Coordinator (Team Celebrity Management) at Ruia Student Council 

(2020 - 2023)

Coordinated celebrity guest appearances as the centrepiece attraction for the annual college event, engaging with industry contacts and managing outreach to talent representatives.

Liaised with guest teams to ensure seamless communication and coordination for event participation.