Data Science Business Analytics

Charitha Sri Pasupuleti

Edison, NJ ***** ************************@*****.*** LinkedIn 732-***-****

OBJECTIVE

Motivated Master’s student in Business Analytics with hands-on experience in data science, predictive analytics, and business intelligence. Skilled in Python, SQL, Power BI, and AWS, eager to apply data-driven insights to optimize business performance and drive growth.

EDUCATION

Saint Peter’s University New Jersey, NJ

Master of Science (MS) in Business analytics GPA : 3.6 May 2024

RELEVANT COURSEWORK

Introduction to Data Science Data Analysis and Decision Modeling Data Ethics and Artificial Intelligence Python in Data Science Business Analytics Business Analytics with Power BI Marketing Analytics & Operations Research Corporate Finance Management Economics Advanced Microeconomics

EXPERIENCE

HCL TECHNOLOGIES LTD, Bangalore,India, IT Analyst January 2020 – July 2022

●Resolved IT incidents through ticketing systems, ensuring compliance with service level agreements (SLAs) to minimize downtime and operational disruptions.

●Provided technical support to end-users, troubleshooting software, system access, and network connectivity issues while conducting training sessions on new technologies and best practices.

●Assisted in planning, testing, and deploying system upgrades, patches, and software releases, ensuring seamless integration with minimal business disruption.

●Supported IT project planning and implementation, collaborating with cross-functional teams to deliver tailored IT solutions.

●Communicated effectively with clients to understand IT requirements, provide solutions, and document resolutions for knowledge management.

●Ensured high levels of customer satisfaction by delivering quality IT services and maintaining clear, professional client interactions.

●Designed, implemented, and managed AWS infrastructure, optimizing EC2 instances, VPCs, and load balancers for performance and scalability.

ACADEMIC PROJECT

Customer Retention and Sales Forecasting using Predictive Analytics September 2022 – December 2022

●Performed extensive Exploratory Data Analysis (EDA) on over 500,000 customer transaction records to uncover key factors influencing customer retention and churn.

●Developed a highly accurate predictive churn model using Python (scikit-learn, pandas, NumPy), achieving an 87% accuracy rate and enabling proactive customer engagement strategies that reduced attrition by 15%.

●Automated Extract, Transform, Load (ETL) processes utilizing SQL and Python, significantly reducing data processing time by 40% and ensuring efficient data flow for analytics.

●Designed and implemented dynamic Power BI dashboards, providing real-time insights into customer behavior and improving marketing efficiency by 25% through enhanced audience segmentation.

End-to-End Business Intelligence Dashboard for Revenue Optimization January 2024 – May 2024

●Spearheaded the design and implementation of a real-time, user-friendly revenue analytics dashboard in Power BI, enabling executives to monitor key performance indicators (KPIs) efficiently and accelerating decision-making speed by 35%.

●Utilized advanced SQL querying techniques to extract, clean, and process over 1 million rows of sales and financial data, ensuring 99% data accuracy and reliability for strategic business planning.

●Enhanced project efficiency by leveraging Jira for Agile project management, optimizing workflow collaboration, prioritizing key deliverables, and reducing reporting turnaround time by 20%.

●Conducted in-depth statistical analysis and business intelligence modeling to identify bottlenecks and inefficiencies, leading to process optimizations that increased operational efficiency and revenue growth by 22%.

TECHNICAL SKILLS

●Programming Languages: Python, R, SQL

●Relational Database Management: MySQL, SQL Server, PostgreSQL

●Business Intelligence Tools: Power BI, Tableau, Looker Studio, MS Office Suite

●Cloud Computing: Amazon Web Services (AWS), Vercel

●Libraries & Frameworks: Pandas, NumPy, Scikit-Learn, Matplotlib, PyTorch, TensorFlow, Flask

●Machine Learning Algorithms: Decision Tree, KNN, Logistic Regression, Naive Bayes, Random Forest, XGBoost, TF-IDF

●Other Skills: DAX, VBA Macros, Stastical Analysis, Data Visualization, Data Cleaning & Validation, Data Ingestion, ETL

Contact this candidate