ANIKAIT CHAVAN

Software Engineer | Data Scientist | Machine Learning | Artificial Intelligence

ABOUT ME

Hello! I am Anikait Chavan, a passionate software engineer and data enthusiast with a Master’s in Management of Technology from NYU. My expertise lies in developing scalable software solutions, crafting intelligent machine learning models, and leveraging AI to drive innovation and solve real-world problems. With a strong foundation in computer science and an ability to adapt to diverse technologies, I excel at turning complex challenges into impactful, user-centered products.
I thrive at the intersection of technology and data, where creativity meets precision. Whether it’s optimizing systems for seamless integration or building AI-driven applications, I’m committed to pushing the boundaries of what’s possible. My goal is to create cutting-edge solutions that not only meet but exceed expectations, making a lasting impact in the world of software engineering, data science, and AI.

SKILLS

Python

NumPy

Matplotlib

Pandas

Seaborn

Tableau

MySQL

SQL

Microsoft Excel

VBA Macros

Machine Learning

Artificial Intelligence

Google Analytics

Confluence

Scrum

Jira

Microsoft Project

Bootstrap

HTML

CSS

EDUCATION

New York University

Master of Science in Management of Technology
Coursework: Economics & Strategy | Statistics for Data Analysts | Global Innovation | Data Visualization for Business Intelligence | Project Management | Business Analytics | Financial Analysis for Tech Managers | New Product Development | Entrepreneurship

September 2022 - May 2024

University of Mumbai

Bachelor of Engineering in Computer Engineering
Coursework: Data Structures | Analysis of Algorithms | Database Management System | Machine Learning | Software Engineering | Big Data & Analytics | Artificial Intelligence & Soft Computing | Natural Language Processing | Cloud Computing | Human Computer Interaction.

August 2018 - May 2022

PROJECTS

Generative AI Powered Wedding Planning Advisor

Project description

  • Developed a Streamlit-based web application powered by GPT-4 to offer personalized wedding planning advice, designed an intuitive user interface enhancing the user experience with tailored AI-driven recommendations
  • Built a smart advisor function that gives customized wedding recommendations based on user inputs like location, budget, guest count, food preferences, wedding style, number of functions, and preferred season
  • Enhanced application security by integrating the dotenv package for the secure management of API keys
View Project
Consumer Financial Protection Bureau (CFPB) Consumer Complaints Modelling

Project description

  • Analysed a dataset of 2 million records from the CFPB to predict dispute occurrences, enabling cost-saving strategies for leading banks
  • Applied data cleaning and machine learning techniques, focusing on predictive analytics to pre-identify complaint disputes
  • Devised an optimized model using XGBoost, effectively reducing resolution costs by targeting potential disputes
  • Evaluated and refined the predictive model, significantly lowering financial dispute resolution expenditures for client banks
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NYC Motor Vehicle Collisions Analysis

Project description

  • Analysed NYC 'Motor Vehicle Collisions - Crashes' data, pinpointing patterns and anomalies in over 1 million incidents
  • Developed visualizations to concisely present crash data and facilitate evidence-based decision-making
  • Translated complex data analysis into strategic insights, targeting a 20% potential reduction in traffic incidents
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NYC 311 Calls Analysis

Project description

  • Analyzed NYC 311 service request data via the NYC Open Data portal, performed data cleansing and exploratory data analysis
  • Investigated trends in complaints, peak call times, and developed forecasts, applying expertise in time series analysis
  • Presented analytical findings through a Jupyter notebook on GitHub, deriving strategic and actionable insights
View Project
Wiki

Project description

  • Developed a Wikipedia-like online Encyclopedia using Django
  • Functionalities to Create, Edit and View Wiki entries
  • Deployed this website online on Heroku using their free tier service
  • Technologies used: Django (Backend Server), Python, HTML, CSS, Bootstrap
View Project
Google Search

Project description

  • Developed a front-end for Google Search, Google Image Search, and Google Advanced Search
  • Created HTML forms that send data to Google’s server by making GET request using the parameters of the form
  • Deployed this website online on Hostinger using their shared hosting
  • Technologies used: HTML, CSS, Bootstrap
View Project
Finding Things

Project description

  • Provides users a platform to search items on craigslist
  • It uses Beautifulsoup (Web scraping library in python) for scraping craigslist for the item that is to be searched
  • Used Postgresql for Database
  • Deployed this website online on Heroku using their free tier service
  • Technologies used: Django (Backend Server), Python, HTML, CSS, Materialize, Beautifulsoup, Gunicorn
View Project

CONTACT

Need anything built, want to work together or simply want to have a chat?

Drop me an e-mail at anikaitchavan@gmail.com or simply fill out the form below and I will reply to you soon!