ADVAIT CHAVAN

Data Science Intern

Oasis Infobyte•  October 2023 - November 2023

-> Iris Flower Classification Model: Developed a Machine Learning Model to classify Iris flowers into three species based on measurements, showcasing my proficiency in classification techniques. -> Analysis of Unemployment in India: Conducted an in-depth analysis of unemployment in India using Python, leveraging data analysis and visualization techniques to gain insights into unemployment trends. -> Car Price Prediction Model: Built a Machine Learning model for predicting car prices, employing regression techniques to estimate car prices based on relevant features. -> Spam Detection System: Developed a spam detection system using Machine Learning, utilizing email content features to classify emails as spam or not. -> Sales Prediction Model: Implemented a Sales Prediction model using Python, utilizing various predictive techniques to forecast sales.

Artificial Intelligence Intern

Bharat Intern•  July 2023 - August 2023

->Developed a powerful Resume Parser using NLTK (Natural Language Toolkit) to identify the perfect candidates for job openings. The Resume Parser I created leverages the power of NLTK's advanced natural language processing techniques to extract relevant information from resumes, such as skills, qualifications, work experience, and education. By analyzing and understanding the content of resumes, it helps streamline the hiring process, making it easier to identify the most suitable candidates for various job roles. -> Created an intelligent Auto Correct Tool using Natural Language Processing techniques. This tool not only corrects misspelled words in a paragraph but also suggests the nearest words for non-misspelled ones, making it a powerful language enhancement tool. The key features of the Auto Correct Tool are: 1. Corrects misspelled words using the powerful SpellChecker library. 2. Finds and suggests the nearest words for non-misspelled words using spaCy's pre-trained model with large word vectors. -> Developed an AI Language Translator App! This powerful app allows seamless translation between different languages. Supported languages include English, Hindi, and Marathi. With this AI Language Translator, users can effortlessly translate their text and bridge the language barrier.

Data Science Intern

yoshops•  February 2023 - April 2023

-> Developed Python programs for creating, importing, and formatting Excel files, as well as extracting mobile numbers from various file formats and saving them to an Excel file. -> Implemented data cleaning processes to remove unnecessary data using Python. Conducted web scraping on Yoshops.com to gather information on the number of products per category and subcategory. -> Created an Exploratory Data Analysis (EDA) using test data from Yoshops.com Sale Order file, allowing for analysis of customer reviews, payment methods, consumer states and cities, product categories, order frequencies, and more. -> Built a fake buyer identification system based on EDA, generating PDF and CSV reports based on different criteria such as shipping and billing address discrepancies, multiple orders of the same item, unusually large orders, and unexpected international orders. -> Automated validation for product pages by identifying missing product images on Yoshops.com and other specified main and subcategory links, generating an Excel file with relevant information. Performed web scraping on RelianceDigital.in to analyze mobiles and laptops with a budget below Rs. 10,000. Conducted analysis on HRX brand products with a cost of less than Rs. 500, focusing on customer reviews from different ecommerce websites. -> Prepared a dataset of mobile phones priced at Rs. 10,000 or less, including features such as RAM, storage, front and rear cameras, display, processor, etc. -> Developed Python programs for merging two Excel files, sorting files in different folders, separating duplicate files, and sorting files by keywords. -> Automated digital marketing tasks by generating banners, videos, blog word files, and post text files based on dynamic input links.

Data Analyst Intern

Trainity•  September 2022 - January 2023

Gave a detailed report to the Marketing team and Investors regarding oldest users, most used hashtags, etc. using MySQL Workbench 8.0 which directed the tech team and marketing team to solve platform oriented problems. Prepared a report for the HR (Human Resource) department of the company regarding the distribution of each department which guided the HR department to take recruitment decisions accordingly 1.The Operations department had the highest share of the total workforce which accounted for 39% (1843) Found insights regarding the most profitable movie being Avatar with a profit of 523505847, top directors being Charles Chaplin with IMDB mean score of 8.6 and Tony Kaye with IMDB mean score or 8.6 using the IMDB dataset, etc. Reported to the Bank the type of customers it must approve or reject while providing the customers with Loan, the bank had 92% of Non-defaulters and 8% of defaulters that means the banks was in a good state having Low NPAs (Non-Performing Assets) Gave a detailed roadmap to the Chief Marketing Officer (CMO) of a car manufacturing company so as to decide the marketing strategy for next FY 2022 based on the current FY 2021 sales in each quarter. Provided an approach to distribute the agents at the call center which defined the path to keep abandon rate as low as 10%