Resume

EDUCATION

MS. in Data Science, Drexel University, Philadelphia, PA
Expected Graduation: June 2025

GPA : 3.9
Relevant Coursework : Data Acquisition & Pre-Processing, Data Analysis & Interpretation, Computer Vision, Cloud Computing, Applied Artificial Intelligence, Information Visualization

BTech. Computer Science, NMIMS University, Mumbai, India
Graduation: May 2023

GPA : 3.31
Relevant Coursework : Artificial Intelligence, Machine Learning, Data Structures & Algorithms, Data Mining & Analytics, Database Management Systems, Cognitive Science & Analytics, Advance Text Social & Media Analysis

Junior Associate Data Scientist, Celebal Technologies, Remote, Jan 2021 – Sept 2022

Developed and implemented a Machine Learning solution using algorithms such as XGBoost Regression, LGBMRegressor, and CatBoostRegression to predict the company’s employee count and revenue
Conducted thorough analysis to identify gaps in the trained models and implemented improvements to enhance their accuracy and performance by 40%
Built robust forecasting models for revenue and expenses, contributing to effective financial planning, leveraging time series models, including ARIMA and FbProphet
Led a team of three members in the creation of a comprehensive Profit & Loss Dashboard, enabling efficient monitoring and analysis of key financial metrics

Web Development Intern, CoreApps Tech, Jaipur, India, Apr 2019 – Jun 2019

Developed front-end interface for client’s website using HTML, CSS, JavaScript to create appealing and user friendly experiences
Leveraged digital marketing strategies like SEO, SMO, & keyword ranking techniques to inform website design decisions and enhance online visibility
Optimized website performance using cPanel & PHP to ensure seamless navigation and improve overall user experience by 5%

Addressing Algorithmic Bias in Healthcare, NMIMS University, Mumbai, India, Apr 2023

Discuss a number of bias-checking parameters, various debiasing techniques, examine the effectiveness of debiasing techniques, and discuss the tradeoff between AI model equity and fairness
Examine the impact of different ML algorithms on bias in healthcare data, and identify parameters to check for algorithmic bias
Utilized Python, Scikit Learn library to train machine learning algorithms on the Diabetes Readmission Dataset, employed the AIF360 library to calculate fairness parameters & apply debiasing techniques to enhance model fairness

Telegram Bot - News on the Go, NMIMS University, Mumbai, India, Oct 2021

Built a NLP application to summarize news articles by applying sentence embedding using the sentence transformer model and deliver it through telegram
Calculate content relevance score, sentence novelty score, and sentence position score to determine the importance of each sentence within the article, applied a weighted average of these scores to rank and prioritize sentences, ensuring that the most informative and relevant ones are included in the summary
Leveraged the Google News API to source news articles, employed NLTK library to preprocess the articles, ensuring quality and consistency, applied the sentence transformers (S-Bert) model to vectorize the pre-processed texts, utilized NumPy library to calculate the scores and ensuring relevant content in the summary, integrated the Telegram API to deliver the summarized articles

Azure Data Scientist Associate, Microsoft, May 2022

Azure AI Engineer Associate, Microsoft, Mar 2022

Azure AI Fundamentals, Microsoft, Jan 2022

Azure Fundamentals, Microsoft, Jan 2022

Programming Languages: Python, R, MATLAB, SQL, HTML, CSS, JavaScript

Libraries & Frameworks: NLTK , Sentence Transformers, BERT, Scikit-learn, Pandas,FastAPI, Flask, Django, Spark

Cloud & Software: Azure, AWS, Databricks, RStudio, Oracle Database, GitHub, Microsoft Office, Tableau, Docker

Concepts: Machine Learning, Ensemble Modeling, Tree-Based Models, Time Series Analysis, Data Analysis, NLP