About
A Data Scientist by Qualification, a Problem Solver by Mind and a Tech Enthusiast by Heart.
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Data Scientist & Developer.
Solving complex business problems through the right mix of machine and mind.
I am MS Information graduate student majoring in Data Science and Analytics at the University of Michigan, Ann Arbor. I have strong data science and software engineering experience in developing applications at scale using programming languages such as Python and Javascript. I have worked on applications of Machine Learning and Deep Learning through strong demonstrated projects in the areas of Natural Language Processing, Search and Recommendation, Data Visualization, and Social Network Analysis. Through my demonstrated history of work, I have developed a rich set of transferable skillsets in applications ranging from fields as diverse as healthcare to E-commerce. I also have authored and published papers while working with strong interdisciplinary teams. I enjoy collaborating with teams and developing novel solutions for challenging problems.
Skills
Skills
Data Visualization
Javascript (D3.js), Python (Altair, Matplotlib, Seaborn), R (ggplot, tidyverse), Tableau and NetworkX.
Resume
Sumary
Yashaswini Joshi
Masters candidate with 2+ years of experience in Data Analytics and Software Engineering, seeking full-time DataScience roles starting in May 2021.
- 1929 Plymouth Rd, Ann Arbor, MI
- (313) 398-5214
- yjoshi@umich.edu
Education
Master of Science - Information
2019 - 2021
University of Michigan, Ann Arbor, MI, USA
GPA: 3.98/4
Majoring in Data Science and Analytics.
Research Assistant
2019 - 2020
University of Michigan, Ann Arbor, MI, USA
- Identified problem areas in instructional material through learning analytics using python that improved students’ performance in exams by 85%.
Bachelor of Engineering - Computer Science and Engineering
2013 - 2017
B V B College of Technology, Hubballi, Karnataka, IND
GPA: 8.89/10
Research Experience for Undergraduates
2016 - 2017
B V B College of Technology, Hubballi, Karnataka, IND
- Research Publication: Presented a research paper on Mobile Agent based frequent pattern mining of distributed databases in ICICC, 2017 proceedings published by Springer.
Professional Experience
Machine Learning Intern
2020 - 2021
Enterprise Minds Inc., San Ramon, CA
- Built a flask application in Docker Container on Google Cloud Platform for extracting the text from invoice images and verify the authenticity of the text.
Data Scientist
2020 - 2020
University of Stellenbosch and Wharton School of Business, Ann Arbor, MI
- Built a Bag-of-words model to predict rise and fall in human conflict levels for a given geographic area in defined time window with 85% improvement over baseline.
- Led the Quantitative team, designed and implemented the database system for storing 200 data sets using MySQL. Through automation of ETL process improved the efficiency by 15%.
Software Engineer
2017 - 2019
Accenture, Bengaluru, KA, IND
- Developed an E2E downloadable monthly customized invoices functionality using agile practices for a fortune 500 telecommunication client which helped decrease operational time and cost by 50%. I was awarded ”Star of the Month”.
- Automated the Change management activity for creating the change requests for project.Conducted impact analysis, assessed change readiness which helped in creating strategies for project progress.
Data Engineer
2016 - 2017
GDV Pvt Ltd, Australia
- Technical associate leading the designing and developing of a web portal for performing statistical analysis of health care data (EHR) of old aged people in order to draw important insights and information using vital health parameters.
- Designed and implemented an intelligent advisory algorithm which advises the individuals on their health and informs the concerned during the emergency situations. The project was awarded the "Best Project" in it's category.
Projects
Drug Recommendation using Review Mining
- Built a neural network model that uses the drug descriptions,conditions, past reviews of customers and then recommend the medicines for each Health Condition of a Patient with 89% accuracy.
- Link to the Project
Predicting value of Jeopardy Questions
- Predicted value of Jeopardy Questions based on each questions’ text and answer with the accuracy of 78% using Machine Learning and feature extraction.
- Link to the Project
Crypto-currency Trading Analysis
- Predicting future price movements from historical data to identify price movement patterns through exploratory data analysis(EDA), Statistical analysis and K-means clustering.
- Link to the project
Credit Card Fraud Detection
- Built a high performance deep learning model to detect credit card frauds with accuracy of 98% using PCA transformation.
Obesity Analysis
- Time series analysis of obesity rates in adults, and the potential associations between obesity and other factors such as socio-economic factors and smoking habits using exploratory data analysis(EDA) and visualized using d3.
- Live Link | Link to the Project
PDF search Engine for UN Agencies and NGOs
- A simple information retrieval based PDF Search Engine with the NDCG score of 0.8 using BM25L model.
- Link to the project
Sentiment Analysis for Self-Driving cars
- Leveraged 20,000 tweets to develop sentiment analysis model to classify them using supervised Machine Learning models, Phrase modeling and Topic Modeling and compared the results through performance matrices.
- Link to the project
Airbnb Review Summarizer
- Built a tool that creates visualization of Airbnb reviews per city using Bag of words,Topic Modelling, and Sentiment Analysis.
Contact
Location:
Ann Arbor, MI 48105
Email:
yjoshi@umich.edu
Call:
+1 313 398 5214