Summary
Overview
Work History
Education
Skills
Timeline
Generic
Srivatsav Chintapalli

Srivatsav Chintapalli

Phoenix,AZ

Summary

Dynamic analytics professional with a proven track record at Grand Canyon University, enhancing credit risk management with an 81.7% accuracy predictive model. Expert in Python, Power BI, LLM's and collaborative problem-solving. Excelled in deploying innovative solutions and fostering team growth, significantly improving operational efficiency and decision-making processes.

Overview

7
7
years of professional experience

Work History

Benchmark – Capstone Project Predictive Analytics

Grand Canyon University
2024.05 - 2024.07
  • Led and Developed a predictive analytics model to identify potential credit card defaulters, leveraging historical transaction data, customer demographics, and payment histories.
  • Utilized machine learning algorithms such as Random Forest, Logistic Regression, and Boosted Decision Tree to enhance credit risk management, achieving an accuracy of 81.7%.
  • Employed Synthetic Minority Oversampling Technique (SMOTE) to handle class imbalance and improve model recall, ensuring that minority classes like defaulters were not overlooked.
  • Conducted exploratory data analysis (EDA) to uncover patterns in default behavior, highlighting the influence of variables such as age, marital status, and education level on repayment risk.
  • Ensured data quality through techniques like multivariate analysis, categorical encoding, and feature scaling, improving the reliability and predictive power of the model.
  • Deployed the Two-factor Boosted Decision Tree model, outperforming other models with a precision of 75.6% and AUC of 0.785, effectively minimizing financial risks for the bank.
  • Implemented an iterative tuning process and cross-validation for model evaluation, ensuring robust performance and scalable deployment across the bank’s branches.
  • Mentored team members, fostering professional growth and skill development.

STEM Student Worker Analyst

Grand Canyon University
2023.05 - 2024.07
  • Organized and executed STEM events for high school students, fostering interest in data science and technology, resulting in a 20% increase in student engagement.
  • Developed interactive dashboards using Tableau and Power BI, analyzing survey data to support professional development decisions, improving event effectiveness by 15%.
  • Conducted in-depth analysis of female student enrollment trends in technology programs over 10 years, using Power BI and Tableau to deliver insights and recommendations that contributed to a 25% increase in female participation in STEM initiatives.
  • Created 5+ STEM lesson plans on data storytelling, utilizing Tableau, Matplotlib, Seaborn, and ggplot2 in Python, engaging over 200 students in hands-on data analysis activities.
  • Produced an educational video demonstrating Power BI visualization and trend analysis using gaming sales data, with 75% positive feedback from participating students.
  • Designed and led STEM activities using Excel to teach students data-driven decision-making and math concepts, improving their analytical skills.
  • Generated data reports and pivot tables from GenCyber Teacher Camp survey data, streamlining feedback analysis for over 50 teachers.
  • Assisted in the 2024 GenCyber Teacher Camp Machine Learning Boot Camp, supporting the training of over 30 teachers in fundamental machine learning concepts.

Analytics Assistant Manager

Karur Vysya Bank
2020.11 - 2022.10
  • Supervised day-to-day operations to meet performance, quality and service expectations.
  • Led data analytics and reporting initiatives across multiple departments, delivering tailored solutions that enhanced business intelligence and decision-making processes, resulting in a 20% improvement in operational efficiency.
  • Utilized SQL to pull data from FRS (Financial Reporting System), analyzing customer spending behavior for targeted sales of credit cards, home loans, and car loans. Successfully optimized product offers based on spending patterns, leading to a 15% increase in credit card sales.
  • Conducted risk analysis for fraud management by generating security rules based on customer spending history, reducing fraud incidents by 10%.
  • Collaborated with management departments to understand data needs, creating dynamic reports and dashboards in Power BI, delivering actionable insights to key stakeholders and improving decision-making processes by 25%.
  • Analyzed and interpreted complex data sets, identifying trends, risks, and opportunities, leading to recommendations that improved business outcomes by 18%.
  • Continuously improved analytics processes by staying updated on industry best practices and emerging technologies, enhancing data analysis tools, which reduced reporting time by 30%.
  • Ensured data quality through regular audits, security measures, and daily backups, improving data accuracy by 12%. Applied least privilege methodology to enhance system security and data integrity.
  • Managed data center operations, including server coordination, Active Directory oversight, and Identity Access Management using Oracle Identity Manager, ensuring 99.9% uptime and adherence to strict data security standards.

Assistant Systems Engineer

Tata Consultancy Services
2017.10 - 2019.07
  • Collaborated with Daimler to analyze business requirements and develop comprehensive test cases, enhancing test coverage and minimizing defects.
  • Utilized CIAT tools for the generation, verification, and execution of test cases for software modules in automotive functional testing, collaborating closely with the client as a Test Engineer.
  • Analyzed and reported simulation and test data results for Advanced Driver Assistance Systems (ADAS), ensuring accuracy and compliance with automotive safety standards.
  • Participated in status meetings with customers to provide project schedule overviews and in CCB (Change Control Board) meetings with the development team to address technical issues and queries, ensuring smooth project execution.
  • Conducted root cause analysis for system failures during functional testing, providing actionable insights to improve system reliability by 10%.
  • Contributed to the continuous improvement of testing methodologies and processes, optimizing test execution efficiency by 15%.

Education

Master of Science - Business Analytics

Grand Canyon University
Phoenix, AZ
07.2024

Post Graduation Diploma - Banking Technology

IDRBT
Hyderabd, India
07.2020

Bachelor's of Technology - Electronics And Communication Engineering

Vellore Institute of Technology
Vellore, India
05.2017

Skills

    Programming/ Visualization:

    Python (Anaconda, Numpy, Pandas, SK-learn, Matplotlib), Power Bi, Tableau, Microsoft Excel(VBA, Pivot tables), CRM, R, SQL

    Algorithms:

    Linear Regression, Random Forest, Decision Tree, Gradient Boosting, Logistic Regression, kNN, SVM’s, MLP, Natural Language Processing, Unsupervised learning (PCA, Clustering, Text analysis), Time Series Analysis

    Professional:

    Skilled in administrative and project management, collaboration and teamwork, innovative problem-solving

Timeline

Benchmark – Capstone Project Predictive Analytics

Grand Canyon University
2024.05 - 2024.07

STEM Student Worker Analyst

Grand Canyon University
2023.05 - 2024.07

Analytics Assistant Manager

Karur Vysya Bank
2020.11 - 2022.10

Assistant Systems Engineer

Tata Consultancy Services
2017.10 - 2019.07

Master of Science - Business Analytics

Grand Canyon University

Post Graduation Diploma - Banking Technology

IDRBT

Bachelor's of Technology - Electronics And Communication Engineering

Vellore Institute of Technology
Srivatsav Chintapalli