IITK Counselling Team
|Student Guide
Summary
guiding newly admitted students and assisting in ID card creation.
About
Work
IITK
|Teaching Assistant
Summary
Mass Transfer and Separation Processes CHE213, Dept of ChE
Education
Indian Institute of Technology, Kanpur
→
M.Tech
Chemical Engineering
Grade: 9.37/10
Indian Institute of Petroleum and Energy, Visakhapatnam
→
B.Tech
Chemical Engineering
Grade: 7.92/10
Sri Chaitanya Junior college, Visakhapatnam, AP
→
Class XII
Class XII
Grade: 96.3
Bhashyam Public School, Vizianagaram, AP
→
Class X
Class X
Grade: 9.5/10
Awards
Secured All India Rank 405 in GATE CH 2023
GATE
Secured All India Rank 11940 in JEE Advanced 2018
JEE Advanced
Publications
Microkinetics of Carbon-dioxide Methanation
Prof.Pankaj Arvind Apte
Conducted an extensive literature survey on Carbon dioxide methanation, identifying key research gaps and proposing crucial areas for future investigation to advance the field. Implementing sensitivity analysis to identify key reaction mechanisms and rate-determining steps that significantly impact overall reaction rates and product selectivity in Carbon-dioxide methanation.
Certificates
Machine Learning from Basics to Advanced
Udemy
Data-analyst-skill path-zero-to-hero
Udemy
Full stack Web Development
Edureka
Java Programming
CodeIn Academy, Udemy
Solved 200+ Problems in leet code and secured 100 days badge(AWARDED TO TOP 4.2 % OF LEET CODERS SOLVING PROBLEMS 100+ DAYS IN 2024)
LeetCode
4 Star Rating in java, SQL
Hacker rank
Skills
Programming Languages
Python, Java, C++, SQL.
Web Development
HTML, CSS, Bootstrap, JavaScript, React.js.
Libraries
Pandas, Scikit-learn, Matplotlib, NumPy.
Software
Oracle Database, MS Excel, LaTeX.
Skills
Data Structures and Algorithms, Machine Learning, Problem-Solving.
Projects
Pizza Sales Analysis Using SQL
Summary
Carried out a thorough SQL analysis on pizza sales data, using INNER JOIN, sub-queries, GROUP BY clauses, and aggregation functions across 4 tables. Developed SQL queries to calculate key perfromance indicators (KPIs) like total revenue, orders, and more.
Full-Stack Development of a Food Delivery Website using MERN Stack
Summary
Developed a food delivery website using the MERN stack, featuring a user interface for login, ordering, and payment processing with React, and an admin interface for managing food items, including adding or deleting items. Leveraged React hooks (useState, useEffect, useContext), Axios for data fetching, react-router-dom for routing, Express.js for backend APIs, and MongoDB for managing user data, food items, and transactions.
House Price Prediction
Summary
Processed a 13,000-row dataset with data cleaning, outlier removal, and one-hot encoding of categorical variables. Developed and evaluated predictive models, achieving an R² score of 0.818 with Linear Regression.
Credit Card Fraud Detection
Summary
Created an ML model to detect the authenticity of credit card transactions from a dataset of 280K+ datapoints. Optimized model performance through hyperparameter tuning and cross-validation, achieving a recall score of 0.9302 with a Neural Network, outperforming other ML models.