Haripriya Raman

In tandem with an insatiable thirst for knowledge, I bring invaluable hands-on experience in the software industry. My practical engagement in software development has finely tuned my aptitude for seamlessly applying theoretical concepts to real-world scenarios. Whether engaged in collaborative coding projects, tackling intricate troubleshooting tasks, or refining software solutions for optimal performance, my experience has ingrained in me a robust work ethic, keen attention to detail, and a results-driven mindset. With a proven track record of contributing to successful software projects, my commitment to both continuous learning and pragmatic application shines through in the dynamic realm of technology. The synergy of my theoretical expertise and practical acumen positions me as a well-rounded and adaptable student poised to excel in any technological endeavor.

Experience

AI/ML Engineer Intern

Cloudely, Inc

• Skills: JavaScript, Node.js, React JS, Mongo DB, HTML, CSS, Machine Learning, AI models, Wordpress.
• Empowered non-technical users to seamlessly adopt AI by delivering 5 advanced AI-driven features through Konfeeg’s no code platform, accelerating digital transformation and operational efficiency.
• Working on revamping the official website to enhance user-friendliness and overall experience.

December 2024 - Present

Data Scientist (Research Assistant and Graduate Teaching Assistant)

University at Buffalo, The State University of New York

• Skills: Big Data, Hadoop, MapReduce, Java, PySpark, Python, Spark, Spark Streaming, Machine Learning Algorithms.
• Achieved 90% accuracy in detecting fake reviews and reduced fraudulent content through machine learning models including advanced techniques like ensemble learning and anomaly detection on large-scale datasets.
• Enhanced detection efficiency by implementing embedded models with feature selection techniques and mathematical analysis, optimizing model performance, and reducing computational complexity by 20%.
• Designed and administered 3 assignments, 11 quizzes, 1 project, 2 examinations, and evaluating over 200 assessments to assess student performance in the Data Intensive Computing course. Facilitating lecture reviews, clarifying doubts, and guiding students with their projects.

January 2024 - December 2024

Software Engineer

Yellow.ai

• Skills: Python, JavaScript, Node.js, Tableau, Postman, Rocket Lane, SQL, NLP, AI, Draw.io, AWS, JIRA
• Developed over 30+ chatbots software solutions, improving response accuracy by 80% and managing diverse scenarios. Collected and cleaned extensive user data to identify future prediction trends using predictive models and classified user types using classification models. Examined user engagement data across 7+ channels, designed dashboards for real-time insights using visualization libraries and Tableau.
• Integrated Razor pay for easy payment and agent assistance service with the help of CRM which helped in 70% increase in the customer satisfaction rate and built multilingual bots supporting 3-4 languages, and integrated data hubs, such as AWS cloud S3 for secure storage of customer information.

August 2020 - August 2022

Internship

Cognizant Technology solutions

• Acquired expertise in iOS mobile accessibility through training.
• Developed an iOS Crafted an iOS-based e-commerce mobile application, incorporating audio-based accessibility features using Swift and XCode.
• Tech Stack : Swift, XCode, HTML, CSS, JavaScript

January 2020 - May 2020

Education

Technical Skills

• Python
• C++
• C
• Javascript
• R
• Matlab
• Java

• HTML
• CSS
• Flask
• MySQL
• MongoDB
• SQLite
• SQL Server
• PostgreSQL
• Hadoop

• Mac OS
• Windows
• Linux

• Tableau
• PowerBI
• VS Code
• Jupyter Notebook
• R Studio
• Anaconda
• Git
• Jira
• Bitbucket
• Tensorflow
• SKLearns
• Numpy
• Pandas
• Matplotlib
• Seaborn
• Postman
• Rocketlane
• MS Office
• Pytorch
• Keras

• Amazon Alexa Skills
• Google Assistant Routines
• Google Business Messages
• Machine Learning
• Artificial Intelligence
• Data Science
• Data Analytics
• Deep Learning
• Reinforcement Learning
• Natural Language Processing
• Computer Vision
• Apache Spark
• Hadoop

• Data Intensive Computing
• Frontend Development
• Backend Development
• Machine Learning
• Deep Learning
• Reinforcement Learning
• Information Retrieval
• Natural Language Processing
• Computer Vision
• Data Science

Projects

Data Intensive Computing & Machine Learning

Prediction of US Accidents

Computer Vision

Estimation of Vehicle Weight for Structural analysis

Machine Learning

Lay-off Prediction

Machine Learning

Adult Income Prediction

Deep Learning

Gender Prediction from Ultrasound

Deep Learning & Computer Vision

Traffic Sign Recognition using Convolutional Neural Network

Computer Vision

Restaurant Flow Control System

Data Intensive Computing

Word-Count

Machine Learning

Land Mine Classification

Deep Learning

Fashion MNIST

Awards & Accomplishments

• Rewards & Recognition from yellow.ai - I was rewarded for taking ownership of the work.
• Rewards & Recognition from yellow.ai - I was rewarded for Developing Quality Bots.
• Certificate of Appreciation from Yellow.ai - Being a Quick Learner.
• Participated and Demonstrated my project in CSE Project Day at University at Buffalo.

Interests

During my leisure time, I enjoy delving into the latest technologies through platforms like Udacity, LinkedIn Learning, Coursera, CodeAcademy, and Udemy. Completing courses and applying the acquired knowledge to personal projects gives me a sense of accomplishment.

Furthermore, I have a passion for drawing, engaging in board games, experimenting with new culinary creations, and expressing my creativity through various sketches and artwork. These diverse activities add a rich and fulfilling dimension to my leisure time.