LangYantra AI

Business Owner, AI / ML & Software Engineer

JPMorgan Chase & Co.

• Achieved 99.86% Accuracy in Fraud E-Mail Detection using Natural Language Processing (NLP) by Fine Tuning the RoBERTa LLM Transformer on a Dataset of 11,928 E-Mails using Python, Pandas, PyTorch, Hugging Face.
• Performed Exploratory Data Analysis on a Dataset of 20,001 Payments for Financial Fraud Analytics using Python, Pandas, Seaborn, Matplotlib.
• Tech Used - Python, Pandas, Seaborn, Matplotlib, Hugging Face, PyTorch.

Cybersecurity Virtual Intern

Amazon Web Services (AWS)

• Designed a Simple & Scalable AWS Hosting Architecture for a Client using Elastic Beanstalk Application Load Balancer with EC2 Instances to improve the Response Time and Explained the Technical Concepts in Plain Language

Solutions Architecture Virtual Intern

British Airways

• Web Scraped the 3,599 Customer Reviews with Beautiful Soup.
• Performed Natural Language Processing - NLP Sentiment Analytics on the 3,599 Reviews of the airline using DistilBERT LLM Transformer with Hugging Face, Python, Pandas, TensorFlow.
• Achieved 85% Accuracy in Predicting Customer Buying Behavior using Machine Learning with a Random Forest Classifier using a dataset consisting of 49,999 Customer’s Data.
• Presented Insights through Data Visualization with Matplotlib, Seaborn.
• Tech Used -Python, Pandas, Matplotlib, Seaborn, Scikit Learn, Tensorflow, Hugging Face

Data Science Virtual Intern

Cognizant

• Built a Machine Learning Model with 0.05 Mean Squared Error for predicting the Stock Levels of 7,828 Products with Python, Pandas, Scikit Learn.
• Presented Insights using Data Visualization with Seaborn, Matplotlib.
• Built a Production-Ready Module for Seamless Model Integration.
• Tech Used - Python, Pandas, Matplotlib, Seaborn, Scikit Learn

Artificial Intelligence Virtual Intern

KPMG

• Analyzed data to target high-value customers based on demographics and attributes.
• Developed Power Bi Data Visualization dashboards to communicate findings with visuals.

Data Analytics Virtual Intern

Tata Group

• Utilized Power Bi for Data Visualization to aid executives with Decision Making.

Data Visualization Virtual Intern

YouTube

• I taught 3D Game Development in Unity 3D (C#) and Unreal Engine 4 (C++ & Blueprints) to 50-100 Students.
• Made 3 courses, 3D FPS Game in Unity 3D, 3D FPS Game in Unreal Engine 4 and Unreal Engine 4 Beginner Course.
• Made Devlogs for my 3D FPS Game Mission Mega Escape
• Also did a few side projects ex:- Making 50 Games in 1 day and Making a Game in 5 Min.

Content Creator (Game Development Teacher)

My Name is Tushaar. Currently, I am a Data Science Student at IIT Madras. I'm mainly into Machine Learning (NLP & LLMs). I have done Virtual Internships at JP Morgan, Amazon, British Airways, Cognizant, KPMG and Tata.

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