Data Python
Resume:
Shivayogi Biradar
Available for Full Time Opportunities
CONTACT
! *******.*@*****.***.***
# Boston, MA
! linkedin.com/in/shivayogibiradar
" github.com/shivayogibeeradar
PROFILE
• Data Scientist with 3+ year industry
experience and dual master’s degrees in
Analytics and Data Science
• Specialization in NLP, Predictive
modelling and Deep Learning modules
• Fluent with Python and R for end to end
machine learning and developing flask-
based ML framework
EDUCATION
September 2017 ~ December 2019
Master of Data Science
Northeastern University [Boston, MA]
May 2016 ~ June 2017
Master Business Analytics
Purdue University [West Lafayette, IN]
September 2010 ~ May 2014
B.E. Mechanical Engineering
Visvesvaraya University [Bangalore, IND]
TECHNICAL SKILLS
§ AWS EC2, EMR and S3
§ Machine Learning
§ Advanced Analytics
EXPERIENCE
March 2020 ~ Present
Data Scientist Intern Cloud Big Data Technologies
• Developing and improving chatbot based on Q/A model for electronic products category using RNN, LSTMS, word embeddings and Fast Text
• Maintain and develop SQL, Alteryx, Tableau pipelines for Dashboards Jan 2019 ~ Jun 2019
Data Science Intern Boston Consulting Group
• Developed a smart tagging system using SVM kernels to automatically categorize Job Titles to respective sub functions and generate an Org map of any organization
• Productionize the tool using python flask, D3 and HTML and pitch to project partners and clients
• Implemented BG-NBD model to predict customer churn and customer lifecycle value via simulations for an e-commerce client
• Developed a Flask – Machine learning framework to deploy machine learning models and visualize sentiments scores Using D3. Used spacy to highlight positive and negative parts of reviews July 2018 ~ September 2018
Machine learning Intern Massachusetts General Hospital
• Develop an AI tool using Natural Language Processing to map Unified Medical Language System to patient’s visitation notes to predict symptoms and diagnosis on DXplain Api
• Deployed a framework using CRF and LSTM in python that increased accuracy by 60%
• Used open cv to achieve consistency in image brightness across 35k retinal scan images. Used Resnet 50 model with oversampling in Keras and Fast AI to achieve high accuracy to detect several stages diabetic retinal detioration. Ran the entire operation on AWS EC2 and S3 bucket Nov 2017 ~ September 2019
Bootcamp Lecturer & Assistant Level – Analytics Bootcamp
• Conduct recitation lectures for students focused around their doubts and help in conceptual clarity in statistics, programming, Tableau and Databases
• Learned to effectively teach complex machine learning topics in simple and precise language. Mentored students for their capstone projects in as Machine Learning Expert Guide
Shivayogi Biradar
Available for Full Time Opportunities
TECHNICAL SKILLS
§ Python
§ Elastic Search & Kibana
§ Minitab
§ R
§ SAS
§ My SQL and MongoDB
§ Alteryx
§ Tableau
Leadership Skills
Treasurer & Project Manager
INFORMS @NEU
Organized the first ever Open data science
hackathon organized by a student club at
northeastern university which oversaw
participation of over 40 teams across campus.
My roles included defining problem
statement, designing grading rubric, develop
sample submissions and generating funding
for this event
Data Science Contributor
Open Data Science Conference (ODSC)
Develop tutorials, articles on recent
happenings in AI and Data Science on weekly
basis. Invite Data science leaders for speaker
sessions and interviews
Campus Facilitator & Ambassador
NU Yesplus
Organized and led campus wide retreats
involving mindfulness, meditation and yoga
Jan 2017 ~ May 2017
Analytics Consultant Purdue University West Lafayette, IN
• Analyzed Human Resources Turnover Data for University partner to provide useful insights and suggested key changes in Human Resources Policy that led to reduction in employee turnover rate by 20 percent
Jun 2014 ~ May 2015
Ajax Fiori Analytics Development Engineer Bangalore, Karnataka
• Created, maintained and updated Dealer Database on mysql and designed interactive dashboards in excel and tableau
• Created inventory reports in SAS for demand forecasting and stocking alerts
• Created a Database of 10,000 potential dealers across India through web scraping and my sql.
• Used talend for ETL of SAP data and maintain in databases Selected Projects
Rcane-Statistical Package in R
https://github.com/shivayogibeeradar/rcane
• Developed various gradient descent methods with ada-grad and bolt driver learning rate method to achieve fast converges of gradients.
• 15%-30% more accurate than existing lm on variety of datasets. Encapsulated the final implementation in a R package.
• Added a shiny vignette to enable users to select learning rate interactively and visualize cost function
• Performed 20% better than existing implementation on DNA dataset in NEU Bio-med Research lab
Predicting Shoppers Loyalty Through Transaction Behaviour http://bit.ly/shoppersloayaltyproject
• Built predictive model using Gradient Boosting Machine and Random Forest with hyper parameter tunings on python, R, H2o for Acquired Shoppers Challenge, (20GB) transactions dataset
• The model was amongst top 5 percent of models in the challenge on Kaggle
• Presented the work by-invitation at Informs 2017 conference at Las Vegas and at Krannert BIAC presentation
Contact this candidate