Currently a graduate School MS-DS student at the University of Colorado Boulder, CO.I worked as a research intern to develop a machine learning model to distinguish between COVID-19 and other related diseases using a novel method.I have a widely exhaustive experience in the field of machine learning which has helped me to build several ML models.I believe I am efficient with data analytics and thus am able to derive important insights from the given data.I have also served as the chairperson of IET-VIT (Jan'21 - Jan'22) and led a board of 11 members. I administered all the activities that the chapter undertook, including all the technical events as well as workshops.Guided juniors to bring in sponsors and secured 2 big sponsors while doing so.
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Ai Operations SpecialistEliseaiNew York, Ny, Us -
Debt & Asset Management Student AssistantUniversity Of Colorado Boulder Jun 2024 - PresentBoulder, Colorado, United States -
AdvisorIet On Campus Vit Jan 2022 - Nov 2022Coached the new board members to take important decisions and acted as a helping hand whenever required. -
ChairpersonIet On Campus Vit Jan 2021 - Jan 2022Chaired an entire board of 11 people and managed all the actions taken by the chapter. Administered the technical workshops, technical Hackathon and campaigns conducted by IET. Increased the number of workshops hosted by IET in 1 year. Led and supervised 5 domains, ranging from Administration, Technical, Media, Sponsorship and Editorial. Guided junior committee members to bring in sponsors and secured 2 big sponsors in the tenure. -
Core Committee MemberIet On Campus Vit Dec 2019 - Jan 2021Delivered pitches to secure sponsors for our technical events. Administered several technical workshops which had industry professionals as the speakers. Crafted a blog on cyber security as part of the editorial team to expand IET-VIT's interaction on other platforms. -
Research InternVellore Institute Of Technology Jan 2022 - May 2022Vellore, Tamil Nadu, India• Engineered a supervised Machine Learning model with ANN, KNN & Random Forests to predict diabetes, finalized Random Forests (99% accuracy), paving the way for non-invasive clinical record-keeping methods, reducing discomfort for patients.• Conducted Stratified Oversampling (SMOTE), feature engineering & data cleaning during ETL phase; improved overall performance by 38% & reduced run time from 2 hours to 45 minutes.• Created optimized SQL queries using materialized views to compute KPIs; decreased dashboard refresh time by 20%. -
Research InternVellore Institute Of Technology Aug 2021 - Jan 2022Vellore, Tamil Nadu, India• Developed an image classification model using Deep Learning algorithms such as CNN, SVMs & Transfer Learning, picked CNN to distinguish COVID-19 and related illnesses to avoid diagnostic error; diminished false negative rate by 20%.• Enforced image processing techniques & sampled the dataset to eliminate over-fitting; leading to a 76% boost in precision.• Explored dataset & discovered parameters that decreased computational time from 4 hours to 1 hour; cut down GPU usage translating to an estimated savings of $3K.• Deployed interactive data visualizations & dashboards utilizing Matplotlib & Tableau; resulting in 40% increase in data comprehension for non-technical people.
Adwait Girish Mahajan Education Details
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Data Science -
Electrical And Electronics Engineering
Frequently Asked Questions about Adwait Girish Mahajan
What company does Adwait Girish Mahajan work for?
Adwait Girish Mahajan works for Eliseai
What is Adwait Girish Mahajan's role at the current company?
Adwait Girish Mahajan's current role is AI Operations Specialist.
What schools did Adwait Girish Mahajan attend?
Adwait Girish Mahajan attended University Of Colorado Boulder, Vellore Institute Of Technology.
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