My journey started in sunny Florida, where I began my master’s studies in computer science. As I delved into the fascinating world of machine learning and artificial intelligence, I was completely drawn in. It wasn’t just the Python code or the intricacies of SQL queries that fascinated me, it was the opportunity to solve complex problems and create something meaningful from a maze of data. I soon realized that I thrived under pressure, handling tight deadlines and high workloads. The real game changer, though, was stepping into the role of a research assistant, where I got the chance to apply all the theories and models I’d learned, making them a reality. This was a turning point, shifting my academic interest into a passionate pursuit.
As I was immersing myself in the realm of AI and ML, I discovered another passion – full-stack web development and software design. As an aspiring Software Developer Engineer, I found a different kind of joy in creating software applications from scratch. Whether it was drafting lines of code in Java or Python, leveraging the cloud services of AWS and MS Azure, or experimenting with Docker, every new experience added a vibrant stroke to the canvas of my professional journey. Handling databases using PostgreSQL or collaborating within a team to deliver a project on time, these experiences honed my skills and fueled my passion. It’s been a roller coaster ride, full of learning and excitement, and I’m looking forward to where this journey will take me next.
EXPERIENCE
March, 2023 - Present
Graduate Research Assistant
University of Florida
Implemented a full-stack web application, “Horizontal Study,” to analyze users’ day-to-day activities and generate insights.
Utilized HTML, CSS, and React.js for front-end development, creating an intuitive user interface.
Integrated D3.js library to render the processed data as a visually appealing tree structure.
Employed Flask and Node.js frameworks for back-end development, handling server-side processing and API integrations.
Leveraged NLP and OpenAI API to analyze user input, generating a comprehensive list of covered topics.
Utilized MongoDB as the backend database, ensuring efficient data management. Achieved 95% accuracy in topic identification and classification using NLP techniques.
Processed over 300 user inputs per day, providing real-time insights.
Collaborated with a team of 3 developers, ensuring timely delivery and smooth functionality.
May, 2022 - August, 2022
Data Analyst
The Sparks Foundation
Developed and presented a robust supervised machine learning model that efficiently assessed the performance of over 1000 students, correlating study hours with academic performance. This innovative model achieved an impressive accuracy of 94.81%, providing a reliable tool for educational evaluation.
Innovatively re-engineered an unsupervised machine learning classification technique, successfully categorizing 320 iris images into predefined clusters. This optimization resulted in a remarkable accuracy of 97.45%, demonstrating the model’s effectiveness in visual pattern recognition tasks.
I actively participated in activities like Global Connections during my computer science studies. My focus extended from core subjects like distributed operating systems and algorithm analysis to specialized electives in machine learning and data visualization. This diverse education, combined with my skills in Python programming, data analysis, and web development, has equipped me to excel in both data science and software development fields.
2018 - 2022
Bachelors Degree in Electronics and Communications
I was actively engaged in societies like F.E.P.S.I, NSS, and The Fine Arts Club during my studies. My education emphasized core computer science topics, from Data Structures to AI and Machine Learning. I’ve honed my skills in areas like data engineering, problem-solving, web development, and programming, making me adept at addressing various tech challenges.
SKILLS
Machine learning
95%
Python
90%
Numpy
90%
MataplotLib
81%
NLTK
81%
AWS
92%
Statistics
90%
Pandas
87%
TensorFlow
87%
Natural Language Processing
81%
Azure
Full-stack development
85%
HTML
82%
JavaScript
81%
Node.js
88%
MongoDB
91%
Git
80%
CSS
80%
React.js
81%
Express.js
80%
RESTful API
77%
Docker
Extracurricular
University of Florida
Secured the Academic Achievement Award of $4500 from the University of Florida for all-around-commendable
performance in undergraduate.
Vellore Institute of Technology
Served as the Secretary at The Fine Arts Club, directing a 25-member cross-functional team and successfully
coordinating with multiple student clubs to launch an event attended by over 250 people.