Nirupama Sai Bodapati

+* ***/***-**** • ad2aqj@r.postjobfree.com • Cincinnati, OH • LinkedIn

Eligible for full-time opportunities starting (May 2024) SUMMARY

Nirupama is a driven, open-minded, Data Science enthusiast with 3 years of work experience in the FMCG and Financial sectors. Having worked on interdisciplinary projects has given her experience dealing with open-ended problems and effectively communicating results.

EDUCATION

University of Cincinnati, Carl H. Lindner College of Business Cincinnati, Ohio Master of Science, Business Analytics & Data Science August 2024 Indian Institute of Technology Tirupati Andhra Pradesh, India Bachelor of Technology, Computer Science and Engineering May 2020 WORK EXPERIENCE

Research Assistant Sep 2023 - Dec 2023

● Communication Behavior Changes Among Patients with Type II Diabetes: The Impact of COVID-19 on Telehealth Utilization - Advanced Technologies & Treatments for Diabetes, Florence, Italy, March 2024. (Accepted). Senior Analyst - Data Science Dec 2021 – July 2023 Tiger Analytics Consulting Pvt Ltd Chennai, India

● Developed Bayesian Media Mix Modelling (MMX) for all brands and channels for ROI Calculators to assist the Fortune 5 CPG Client's marketing team in making strategic marketing promotional investment decisions.

● Developed Supply chain framework for the transportation use case which enables Unload and Outbound prioritization, provides order status, and addresses risk analysis for each DC/ Plant.

● Analyzed 1M SAP orders traceability across various data sources, and by obtaining the missing information from other data sources, enhanced the traceability from 45% to 66%.

● Built a silver layer to reformat the bronze layer raw data (3.6M records) into a more business-usable format using a business-standard naming convention, allowing for faster and more efficient querying. Tech Engineer Aug 2020– Nov 2021

UBS Business Solutions Pvt Ltd Pune, India

● Developed a few back-end scripts that automate the validation checks and alert generations for Fraud Pattern Detection and worked closely with compliance officers as part of the MS&C Program.

● Involved in analyzing the entire MS&C program data quality issues and reducing the quality issues to presenting them to the Governance team and ensuring there were no business impacts to the firm. Machine Learning Intern May 2019 – June 2019

Tomia Global Pvt Ltd Banglore, India

● Improved the functionality of AI/ML-based Chatbot by adding an Intent Classification feature using NLP/DL and Automation Technologies, employing Bidirectional LSTM.

● Enabled the Chatbot to perform request-based operational tasks in setting up configuration or fetching data from DB ACADEMIC PROJECTS

Live Migration of Virtual Machines Managing in Data Centers Aug 2019 - June 2020

● Analyzed previous load-balancing algorithms to improve cloud data center efficiency.

● Implemented MDP-based load-balancing algorithms to identify VMs and their destination PMs for migration.

● Implemented a combined MDP* model for migrating VMs out of and into PMs, reducing overhead and improving load balancing performance, and used an efficient VM Management algorithm proposed to reduce energy consumption. Social Media Sentimental Analysis Machine Learning Project Jan 2019 - June 2019

● Detecting the Sentiment associated with the tweet and classifying it as Positive or Negative using NLP word embedding techniques like Bag-of-Words, TF-IDF, and Machine Learning Algorithms. SKILLS

● Programming Languages: Python (NumPy, Pandas, Scikit-learn, Pymc3, Matplotlib, Seaborn), C, C++, SQL

● Data Science: Regression, Classification, KNN, Random Forest, NLP, RNN, MMX, Data Structures and Algorithms, Design and Analysis of Algorithms, Intelligent Data Analysis, Big Data Integration.

● Software Tools: Toad, Jupyter Notebook, VS Code, PyCharm Latex, MS Excel, Snowflake, DBeaver