Ankita Kulkarni has over 2 years of experience in information technology and services with a focus on machine learning, Python programming, blockchain technologies, and text analysis. She holds a Master of Science degree in Computer Science from California State University, Fullerton. Her technical skills include Python, Angular, Docker, IPFS, and machine learning libraries. She has worked on projects involving travel bots, blockchain integration with IoT and AI, and predictive modeling for healthcare.

1. MS O
ANKITA UDAYKUMAR KULKARNI
ankitak@csu.fullerton.edu | 657-253-8609 | www.linkedin.com/in/kulkarniankita555
A highly analytical individual with 2+ years of working in the information technology and services industry.
Core Competencies include, Python Programming, Supervised and Unsupervised Machine Learning
Applications, Text Analysis, Blockchain Technologies, Hyperledger – Fabric & Sawtooth.
EDUCATION
California State University, Fullerton May 2021
Master of Science, Computer Science
STRENGTHS & EXPERTISE
Technical Skills - Python, Angular 6, J2EE, Typescript, Docker, Interplanetary File System (IPFS), Ionic,
CSS, HTML, Bootstrap, REST, JSON, XML, RDBMS, NoSQL, and PostgreSQL, MS Access, Excel.ffice,
MS
Behavioral Skills - Collaborative, excellent quantitative & qualitative skills, persuasive written & oral
communication skills, attention to details, self-motivated, ability to work under pressure, strong time
management skills.
PROFESSIONAL EXPERIENCE
Senior Associate Consultant, NTT Data, Pune, India June 2017 - July 2019
Machine Learning Activities
• Developed travel bot and integrated with third party apps such as WhatsApp, LINE app, Facebook and
Viber using Google’s DialogFlow(api.ai) & IBM Watson’s Natural Language ProcessingTechniques
• Managed intent training of bot for easy user interaction and implemented corresponding backend calls
Blockchain Activities
• Gained expertise on integration of Blockchain with Internet of Things (IoT) for Supply Chain Tracking
& Management and Artificial Intelligence (AI) for developing a healthcare system
• Focused on Predictive modelling of AI-engine to extract crucial health information and determine
health trends of patients
• Awarded “Star Performer of Team (SPOT)” for deployment of private network
• Certified Japanese Language level N4
Intern, Innotech Systems, Pune, India December 2016 - January 2017
• Created a web application for company’s market resources under supervision following strict deadlines
• Impacted company’s growth by 60% by end of Financial Year 2017 through intuitive design
Market Research Intern, GE Research, Pune, India January 2014 - April-2014
• Conducted surveys with people over phone and email
• Determined and implemented reports by effectively analyzing data to create statistical figures and
communicated status to BI experts’ team to increase profit yield.
PROJECTS
Implementing Go-Game using Machine Learning: Python, Keras, Sklearn, pandas, numpy, matplotlib
This project involves developing a Chinese Go Bot using python libraries. Bot would compete with other
bots and improve its score. Achieved the highest accuracy by far using Gradient Decent Algorithm.
Prediction of Type-2 Diabetes in Pima Indians: Python, Sklearn, pandas, numpy, matplotlib
This project involved prediction of type-2 diabetes in Pima Indians based upon various factors like Glucose,
Blood pressure, Number of Pregnancies, Skin Thickness, BMI, Age. Python Machine Learning libraries
were applied to determine the outcome – positive or negative. Published a detailed analysis of the data in
International Journal for Scientific Research & Development (IJSRD) – (http://bit.ly/ijsrd)