About Me
About Me
I'm Yashashwita,
Currently pursuing an MS in Data Science at the University of California San Diego. I have over 4 years of work experience in the Analytics Industry across multiple domains like Supply Chain, Enterprise Tech, and Fashion Retail. I have extensively worked on Price Forecasting, Inventory Optimization, Demand Planning, Markdown Optimization, Computer Vision, and Deep Learning.
- Preferred Name:Yashi Shukla
- Email:yshukla@ucsd.edu
- From:San Diego, California
Portfolio
My Work
Python
Streamlit
Visualization
Data Analysis
Visualizing the Impact of Layoffs
A comprehensive visual analysis that examines the impact of layoffs across the globe since 2020. By deep diving into the data, I have explored the specific industries and companies that have been affected by workforce reductions over time.
Tableau
Visualization
Data Analysis
Los Angeles Crime Analysis
Explored a decade of crimes happened in Los Angeles through insightful visualizations that offer a comprehensive view of crime trends in the city.
Python
PyTorch
GAN
Exploring Computer Vision
A collection of my Jupyter notebooks, showcasing my exploration and learning journey in the field of Computer Vision.
Statiscal Models
R
Python
PyTorch
Foundational Data Science Algorithms
A collection of some intriguing algorithms for building a foundation in Data Science.
Python
PyTorch
NumPy
DCGAN
Text to Image
This is a PyTorch-based implementation of the Generative Adversarial Text-to-Image Synthesis paper, utilizing a GAN architecture inspired by DCGAN with text descriptions as inputs to generate images.
Python
Image Compression
SVD
DCT
Image Compression
A comparison between two widely used image compression techniques: Singular Value Decomposition and Discrete Cosine Transform. For a given compression ratio, it was observed that DCT was producing better quality images than SVD.
Python
Neo4j
MongoDB
PostgreSQL
Tech Forecasting
Explored how companies have adapted their technological focus and innovation strategies over Time using Patent data extracted from diverse databases, including Relational, Document, and Graph databases.Skills
Skills
Machine Learning
Forecasting, Optimization, Regression, Classification, Computer Vision, GANs
Programming Languages
Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch), R, SQL, Java, Node.js
Databases
MySQL, PostgreSQL, DynamoDB, Teradata, Cassandra, Neo4j, MongoDB
Visualization
PowerBI, Tableau, Streamlit
Cloud
AWS, Azure, GCP
Development
Git, Docker, GraphQL, Talend, Dask, ApacheSpark
Background
Background
My Education
University of California San Diego, USA
Sep 2022 - Dec 2023
MS in Data Science
- CGPA: 4.0
- Courses: Data Science in Biomedicine, Scalable Data Systems, Computer Vision, Machine Learning, Statistical Models, Algorithms for Data Science, Probability & Statistics in Data Science, Data Management, Numerical Linear Algebra
Bharati Vidyapeeth University, India
Jul 2014 - Jun 2018
BTech in Information Technology
- CGPA: 9.54
- Courses: Data Structures, DBMS, Design and Analysis of Algorithms, Neural Networks, Distributed Systems
My Experience
University of California San Diego, USA
May 2023 - Present
Student Researcher
Hnasko Lab - Department of Neuroscience
- Automating experimental setup and data collection using MedPC, Arduino, and Python for volitional vapor inhalant paradigm to study nicotine addiction.
- Managing and analyzing datasets to derive meaningful insights into nicotine addiction.
Arya Lab - Halıcıoğlu Data Science Institute
- Optimizing classification on sparse datasets using logistic regression and projected gradient descent.
- My research focuses on determining the minimum number of samples required for accurate classification, aiming to enhance efficiency and effectiveness in real-world applications.
Accenture, India
Oct 2021 - Aug 2022
Senior Analytics Consultant
- Deployed Markdown Optimization solution for 8 customer groups under a Fortune 500 Fashion Retail Firm using SQL, Python, and Optimization algorithms.
- Collaborated with the Fashion Designing team of a Fashion Retail Firm to help designers assess the new designs and provide the success probability metrics based on the performance of the old similar designs.
- Forecasted commodity prices for up to six months with 96% accuracy to help businesses create an optimized purchase plan by applying Time Series Forecasting, Regression, and Ensemble techniques.
- Supervised junior team members in developing Machine Learning models throughout short and long-term projects.
Oct 2020 - Sep 2021
Analytics Consultant
- Built a Sequential Design of Experiments Model to help businesses achieve better process understanding and reduced the time to market the industrial products by 75% by applying Gaussian Process Regression and Bayesian Optimization.
- Formulated an algorithm to prescribe the logistics between various sources and destinations along with Vendor and Rate Contract Analysis to improve the overall cost utilizing Python and Optimization Techniques.
- Led the development of a go-to-market solution on Vendor Management and Inventory Optimization for a Fortune 500 Manufacturer employing Machine Learning techniques in Python.
Jul 2019 - Sep 2020
Business Analyst
- Engineered an interactive Spend Analytics Solution in Python and Streamlit to identify savings opportunities and make recommendations on Payment Terms, Suppliers, and Materials for an efficient Purchase Order Plan.
- Created a reporting dashboard to monitor the Spend, Supplier Quality, Inventory levels, and consumption patterns of various commodities.
Jun 2018 - Jun 2019
Data Analyst
- Developed and maintained ETL jobs to automate the extraction of data from the client’s CRM to the PostgreSQL Database with Talend Data Integration tool and Python.
- Implemented Rest and GraphQL APIs utilizing Spring Boot and AWS AppSync for Mobile and Web Applications.
Publications
Publications
1. Big Data Analytics Based Approach to Tax Evasion Detection 🔗
Yashashwita Shukla, Neena Sidhu, Akshita Jain, T.B. Patil, S.T. Sawant-Patil
2. Proof of Stake with Casper the Friendly Finality Gadget Protocol for Fair Validation Consensus in Ethereum 🔗
Akshita Jain, Sherif Arora, Yashashwita Shukla, T.B. Patil, S.T. Sawant-Patil
3. Automated Toll Collection coupled with Anti-theft and Vehicle Document Verification System using RFID and Arduino Uno 🔗
Neena Sidhu, Akshita Jain, Yashashwita Shukla, T.B. Patil, S.T. Sawant-Patil
4. A Literature Survey on Wireless Sensor Network in Home Automation Based on Internet of Things 🔗
Shweta Manda, Yashashwita Shukla, Kritika Shrivastava, T.B. Patil, S.T. Sawant-Patil