SRIKAR

PRAYAGA

adncws@r.postjobfree.com

909-***-****

San Diego, California

92336

EDUCATION

University Of California - San

Diego

La Jolla, CA • Expected in

**/****

Bachelor of Science : Data

Science

Major GPA: 3.4

● Coursework in Big Data

Analytics, Advanced Data

Structures and Algorithms,

Object Oriented Design,

Digital and Analog Circuit

Design,

Supervised/Unsupervised

Machine Learning, Data

Mining, Database

Management, Data

Visualization, Data Analysis

and Modelling

PROFESSIONAL SUMMARY

Driven Data Scientist ready to thrive in demanding digital intelligence processing environments. Well-informed on latest machine learning advancements. Ready to combine tireless hunger for new skills with desire to exploit cutting-edge data science technology!

WORK HISTORY

Katch Media - Data Science Intern

Los Angeles, CA • 07/2020 - 12/2020

● Skills Learned: Advanced Excel (pivot tables, advanced formulas, nested formulas, macros) BeautifulSoup, Tensorflow, Keras, Pandas, Numpy, Rest APIs, Git, statistical

modelling tools, Data Visualization techniques, AWS, Spark

● Served as team lead for "TEAM GEO" by managing

checkpoints on JIRA

● Performed intensive wrangling for large-scale databases using Python and SQL to create effective datasets for projects.

● Successfully developed 70 models using Random Forests, Logistic Regression and Neural Networks for the Movie Genome Project.

● Implemented Gradient Boosting/Tuning algorithms to increase accuracies from 65% to 91%.

● Visualized and presented the best models to the C-Suite using Tableau dashboards and effective data storytelling.

● Created daily reports of work on Confluence and authored 4 official technical reports for company use.

Codepath - Tech Fellow

San Diego, California • 01/2020 - Current

● Skills Learned: Swift, XCode, Parse/MongoDB, REST APIs, Webkit, Mapkit.

● Teaching complex topics in iOS Development such as APIs, MVC Architecture, Database in Parse/MongoDB, WebKit, MapKit, and AVFoundation.

TheCoderSchool - Code Coach

Cupertino, CA • 03/2021 - Current

● Skills Learned: Swift, Python, SQL, Java, C,C++, Scratch.

● Teaching hands on project based coding classes for kids from ages 8-18.

● Developing a bespoke lesson plan and teaching style to match each student's learning capabilities

SKILLS

● Java, Python, R, SQL,

C/C++, Verilog, Swift,

Matlab, Bash, Assembly,

Advanced Excel

● AutoCad, Revit,

Solidworks, Tableau,

Tensorflow, Git, Vim,

React, Parse, MongoDB,

Pandas

ORGANIZATIONS

IEEE,DS3 (Data Science

Society), UCSD Sitaare

(Competitive South Asian

Acapella Team)

AWARDS

Provosts Honors- Warren

College

Most Improved Singer- UCSD

Sitaare Acapella

CERTIFICATIONS

-Coursera Deep Learning AI

Certificate

-Codepath iOS BootCamp

-JP Morgan Software

Engineering Certificate

PROJECTS

/*Data Science Projects*/

COVID Face Mask Detector

Worked with: Open CV, Keras, Tensorflow, Deep Learning

● Use facial landmarking to build a training dataset of images of people with masks

● Achieved a 99% accuracy rate on the test set in terms of identifying if a person had a mask or not.

● Implemented it to detect masks in real time using a webcam.

Fraud detection in Credit Card Transaction

Worked with: Pandas,Sk-Learn, NLP

techniques,Tensorflow,PyTorch,Keras

● Identified fraud transactions leveraging predictive modelling with optimization attaining precision of 98.03%.

● Tested against classification algorithms such as KNN(K Nearest Neighbor), XG Boost Classifier, Random Forest Classifier.

Loan Underwriting Model

Worked with: AWS EC2, AWS EMR, Pyspark, Dask,

Pandas, Sk-Learn

● Built a classification model using Freddie Mac Loan datasets to predict loan defaults.

/*Software Engineering Projects*/

Worked with: Xcode 11, Swift, Cocoapods, Parse

ParsyGram - Instagram iOS app clone with a custom Parse backend

-An Instagram-style social media application where users can create accounts to upload and share pictures. The application utilizes a custom Parse backend to securely store users and passwords.

Twitter Client - Duplicates functionality of Twitter with a fresh look

-Client app that allows users to log in and view their feed. This is done by using Twitter's RESTful API. Likewise, the users can like, retweet, and refresh their live feed. Apartly- Productivity app that implements the Pomodoro method

- A productivity app that is designed to keep any individual on track of work during quarantine. Users will be able to join study/work rooms with specific tags with a global productivity timer.

- A productivity app that is designed to keep any individual on track of work during quarantine. Users will be able to join study/work rooms with specific tags with a global productivity timer.

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