Hi!
I’m PRIYANKA PUPPALA
Actively looking for a Data Scientist role.
About
I love spending time with data and facing the challenges of analyzing and predicting using machine learning models. However, I believe visualized portraits can speak more than data in this computer world.
I always like to explore large dataset that includes analysis, visualization, model building, and predictions.
I worked on a few end-to-end Data analysis, Data Science, and Machine Learning projects. These include data gathering from various sources like records, websites, etc., in different formats—then exploring the characteristics of data and types, followed by cleaning and data analysis.
By implementing Machine learning models, I predict and end by delivering insights to particular problem statements.
You can also have a look at my repositories on GitHub.
During my Post-graduation, I started learning and exploring the data and concepts related to big data like data mining, feature extraction, clustering, High Dimensional Data, Feature selection, etc. I have published a few academic research and review papers in various journals.
Skills
Data Science
R programming
Data Analysis
MySQL
Python
Project Management
Natural programming Language
Machine Learning
Projects
Samples of My Work
"COVID-19 can affect anyone, and the disease can cause symptoms ranging from mild to very severe. " "It is important to learn about risk factors for severe COVID-19 illness because it can help us to take precautions as you go about your daily life ".
Natural Language Processing with Disaster Tweets
Twitter has become an important communication channel in times of emergency.
The ubiquitousness of smartphones enables people to announce an emergency they’re observing in real-time. Because of this, more agencies are interested in programatically monitoring Twitter (i.e. disaster relief organizations and news agencies).
But, it’s not always clear whether a person’s words are actually announcing a disaster.
Optiver Realized VolatilityPrediction ML_Model
Volatility is one of the most prominent terms you’ll hear on any trading floor – and for good reason. In financial markets, volatility captures the amount of fluctuation in prices. High volatility is associated to periods of market turbulence and to large price swings, while low volatility describes more calm and quiet markets. For trading firms like Optiver, accurately predicting volatility is essential for the trading of options, whose price is directly related to the volatility of the underlying product.
An Efficient Crop Recommendation using Machine Learning Techniques
An Efficient Crop Recommendation project performed to recommend the future crop market using various machine learning techniques.
Educational Background
What I’ve Learned
Master of Technology
November 2012 - November 2014
Completed Postgraduate in Compter Science stream from Jawaharlal Nehru Technological University, India with 3.7 GPA
Experience
Work History
2015 - 2019
Academic teaching and training in the Computer Science and Information Technology stream.
- JNTU affiliated Engineering Graduate Colleges
Certifications/ Achievements
January 2018
PH525.1x: Statistics and R a course of study offered by HarvardX, an online learning initiative of Harvard University.
LinkedIn Learning Certificate of Completion
January 2021
Social Network Analysis Using R teaches analysts how to visualize and analyze data from a social network like Twitter or Facebook with the text-based statistical language, R.
Issued by IBM
January 2021
Completion of the course R 101 on a node on IBM Developer Skills Network.
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Passing the in-course assessments with a score of 80% or higher.
Issued by IBM
January 2021
This badge earner understands key concepts covering data visualization using R to create and customize data presentation graphics and charts. This includes demonstration of the core skills necessary for summarizing, formatting and interpreting data used to identify patterns or trends critical to informed business decision processes.
Completion of the course Data Visualization with R on a node on IBM Developer Skills Network.
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Passing the in-course assessments with a score of 80% or higher.
Feb 2021
Issued by simplilearn
by Google
May 2021
Foundations: Data, Data, Everywhere
an online non-credit course authorized by Google and offered through Coursera
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by Coursera Project Network
Sep 2022
Application of Data Analysis in Business with R Programming an online non-credit project authorized by Coursera Project Network and offered through
Coursera