About Me
I am a graduate student in Data Science at Johns Hopkins University, driven by a passion for technology and a deep fascination with the world of data. My journey blends creativity with precision, as I explore projects in data analysis, machine learning, computer vision, and visualization. With a focus on smart work and efficiency, I aim to build solutions that unlock the potential of data and create meaningful impact.
I am enthusiastic about pursuing innovative opportunities in machine learning, data science, and AI, leveraging cutting-edge technologies to shape the future. For me, the intersection of art and science is where real innovation happens, and I am excited to be part of this dynamic space. Join me as I continue to push boundaries, explore new ideas, and transform insights into solutions that matter.
Tech Stack:
Languages:
Cloud Framework:
Frameworks/API:
ML/DL:
Non-Tech:
Masters of Science and Engineering: Data Science
Johns Hopkins University - Baltimore , Maryland
Bachelor of Engineering: Computer Science
Thapar Institute of Engineering and Technology - Patiala, India
Class XII:
Krishnamurthy High School – Hyderabad, India
Class X:
Gitanjali School – Hyderabad, India
Getting Started with Power BI Desktop - Coursera
Amazon ML Summer School - Amazon Science
Summer School of Machine Learning - TIET, Patiala
Advanced Computer Vision with TensorFlow - DeepLearning.AI
Natural Language Processing with Sequence Models - DeepLearning.AI
Natural Language Processing with Classification and Vector Spaces - DeepLearning.AI
Principal Component Analysis with NumPy - Coursera Project Network
K-Means Clustering 101: World Happiness Report - Coursera Project Network
Deep Learning with PyTorch : Neural Style Transfer - Deprecated Guided Projects
Build Data Analysis tools using R and DPLYR - Deprecated Guided Projects
Create Technical Stock Charts Using R and Quantmod - Deprecated Guided Projects
Analyze Stock Data using R and Quantmod Package - Deprecated Guided Projects
Create Interactive Dashboards with Streamlit and Python - Coursera Project Network
Data Visualization with Plotly Express - Coursera Project Network
Building Custom Regional Reports with Google Analytics - Coursera Project Network
Data Visualization in R with ggplot2 - Johns Hopkins University
Exploratory Data Analysis - Johns Hopkins University
AWS Academy Graduate - AWS Academy Introduction to Cloud
R Programming - Johns Hopkins University
ELC Activity in Cybersecurity - TIET, Patiala
The Data Scientist’s Toolbox - Johns Hopkins University
Data Scientist
Ripik.AI - Remote
● Partnered with cross-functional teams to integrate data science scripts into backend systems, boosting operational efficiency by 40% and satisfying customer requirements as communicated ● Developed tailored data science scripts for intrusion detection, meeting specific client requirements and bolstering security by cutting down human error by 30% ● Authored automation scripts to convert unstructured text into structured data, optimizing data processing time 70% ● Processed over 1TB of data to build custom datasets, improving predictive model accuracy 30% and effectiveness 25% ● Leveraged Python, TensorFlow, Jupyter Notebook, Linux, Excel, Git, and AWS to develop and optimize data science solutions
Recent Work
AutoStreamML
AutoStreamML is a Streamlit application that allows you to build an automated machine learning pipeline. With AutoStreamML, you can upload your dataset, perform automated exploratory data analysis, and train machine learning models for your data.
- Created - June 2023
- Tech Stack - Python, Pycaret, Streamlit
StockProphet
StockProphet is a web application that provides stock prediction using time series forecasting. It allows users to select a stock dataset and choose the number of years for the forecast. The app retrieves stock data using the Yahoo Finance API and uses the PMDARIMA library for auto ARIMA modeling. The forecasted values and confidence intervals are plotted using Plotly.
- Created - June 2023
- Tech Stack - Python, YFinance, Plotly, Streamlit
WebCrawler
Web Crawler is a Python-based web application that allows users to scrape email addresses from a specified website. This powerful tool utilizes web crawling techniques to explore the website's pages and extract email addresses found within them.
- Created - June 2023
- Tech Stack - Python, pandas, BeautifulSoup, streamlit, tqdm
NLP Comedy Analysis
Created a Natural Language Processing project that involves analyzing transcripts of 10+ stand-up comedians and identifying similarities and differences in their style of comedy. Showcased the application of NLP techniques for text analysis and generation, resulting in a success rate of 25% for generating meaningful sentences.
- Created - February 2023
- Tech Stack - Python, Jupyter Notebook, NLTK
US Accident Data Analysis
Designed a Data Science project to provide an interactive and comprehensive representation of over 50,000 entries of accident data in the United States. Aimed at aiding decision making and analysis, the project proposes achieving a significant reduction of 75% in various types of accidents by analyzing the charts.
- Created - December, 2022
- Tech Stack - R, Tableau, Excel