Aditya Parkhi is a data scientist with experience developing machine learning and natural language processing models. He has a Master's degree in Computer Science from North Carolina State University and a Bachelor's degree in Electronics Engineering from Sardar Patel Institute of Technology in India. His skills include Python, C#, Java, machine learning algorithms, deep learning frameworks, and UI technologies. Previously he worked as a data scientist and risk finance technical analyst at Credit Suisse in India developing predictive models from various data sources.

1. ADITYA PARKHI ​919-523-0176 | ​aparkhi@ncsu.edu
Raleigh, NC ​LinkedIn​ ​|​ ​GitHub
EDUCATION
North Carolina State University, Raleigh, NC ​August 2019 - May 2021
Master of Computer Science
Selected Coursework - Design and Analysis of Algorithms, Natural Language Processing, Artificial Intelligence
Sardar Patel Institute of Technology, Mumbai, India July 2017
Bachelor of Engineering, Electronics Engineering, ​GPA - 8.56/10
SKILLS
Languages​ - ​Python(Proficient), .NET, C#(Proficient), Java, C, C++
Libraries​ - ​Pandas, Django, Tensorflow, Keras, Pytorch, scikit-learn, Flask, Matblotlib, Dash, Plotly, Kivy, pySDL, pygame, opencv
Database​ - ​MS-SQL, MongoDB, CouchDB, MySQL, OracleDB
Machine Learning ​- Clustering, Regression, Classification, Time Series Forecasting, Statistical Modelling, Deep Networks, CNN,
RNN, LSTM, GANs, Hyperparameter Tuning, Dimensionality Reduction,
UI Technologies​ - ​Angular 1.x/2.0, JavaScript, HTML, CSS, ELK stack,Tableau,Power BI,Qlik
WORK EXPERIENCE
Credit Suisse | Data Scientist | Pune, India ​July 2018 - July 2019
● Developed a data science pipeline to identify key information from legal documents to optimize client's time. Deployed and trained
model for Repo and Collateral Management (RCM). The platform will be foundation for various NLP projects.
● Devised a machine learning model to route the support mails to correct pipeline at an L2 level. Predicted the category of issue from
text of the mail using various NLP techniques. Will automate the routing of 1500 mails daily.
● Developed and productionized a Blue Prism bot to work on automation of a legacy tool which contributed to minimizing the manual
effort of front office users upto 40 min per day.
Credit Suisse | Risk Finance​ ​Technical Analyst | Bangalore, India ​July 2017 - July 2018
● Assisted the life cycle monitoring of securitised lending by predicting the long term risk of a security using social media feeds and
time series models like ARIMA and LSTM/GRU.
● Created a deep learning engine to predict risk factors for a security using Advanced NLP techniques and deep learning, such as
Python, Tensorflow, ELK Stack.
● Implemented a chatbot on the internal risk system to facilitate the users and to simplify operations.
● Provided an XML script modification tool to minimize manual input for all employees. Saves 1-2 hours per user per day.
Eicher Motors | ​Intern | Pithampur, India ​June 2015 - July 2015
● Rectified communication fault on KUKA Robot to minimize production time loss.
● Diagnosed the production line (manufacturing plant) failures and analysed the data to identify critical points of failure
PROJECTS
Machine Learning
● Coded and trained LSTM Neural Network after feature extraction, enabling the Neural Network to predict the sign language
gestures from real time data gathered from each sensor. Created an iOS application to communicate with the device and perform
operations. Project was awarded first prize for interdepartmental project competition
Machine Learning
● Designed and built an EMG sensor using various signal conditioning circuits. Collected and sent the data from forearm muscle to
identify the gesture, later relayed from the sensor to train a Neural Network and resulted in predicting 80% accuracy of all gestures.
Computer Vision
● Designed and executed 3D Object Scanner which used image processing to create a 3D map of an object. Built a planar laser that
mapped objects on a rotating platform to mark the outline of the object for image processing.
Machine Learning
● Detected and tracked an object via drone to relay real time video using object detection models like SSD detector, YOLO V3 and
object tracking algorithms such as KFC, MIL,TLD.
EXTRACURRICULAR / HOBBIES
● Stood second in GM Tech Hackathon 2019 | Runner up in RFIT Hackathon 2018 | Credit Suisse
● Played chess at inter zonal level for College | 2016
● Participated in national level sports event at MIT College, Pune as a part of Volleyball and Chess team | 2015
● Adventure sports enthusiast.