About Me
About Me
Hey, I'm Yashi
Thanks for stopping by! This is where I share my work and things I've been building. Feel free to explore, and reach out to me if you'd like to connect or collaborate.
- Email:yashishukla.work@gmail.com
- Location:Chicago, Illinois
Portfolio
Portfolio
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 - Jun 2024
MS in Data Science
- CGPA: 3.9
- Courses: Probability & Statistics, Statistical Models, Machine Learning, Data Science in Biomedicine, Computer Vision, Scalable Data Systems, Data Mining, Data Ethics & Responsible AI, Statistical NLP, Explainable AI, Data Visualization, NoSQL
Bharati Vidyapeeth University, India
Jul 2014 - Jun 2018
BTech in Information Technology
- CGPA: 9.54
- Courses: Data Structures and Files, Database Management, Design & Analysis of Algorithms, Neural Networks, Distributed Computing
My Experience
Discover Financial Services
Jul 2024 - Present
Data Scientist
- Spearheaded a predictive analytics project for three payment networks, accurately forecasting peak periods and enhancing strategic capacity planning with a 15% increase in accuracy.
- Developed and automated Tableau dashboards integrated with SQL databases to streamline application performance analytics which facilitated real-time decision-making and operational improvements.
- Actively collaborated with both technical and non-technical stakeholders to align analytics strategies with business objectives.
UC San Diego Health
Apr 2023 - Sep 2023
Student Research Engineer
- Streamlined data collection to enhance efficiency and accuracy in behavioral studies, reducing manual intervention by 80%.
- Conducted comprehensive data analysis to identify critical behavioral patterns and insights related to drug addiction research.
Accenture
May 2022 - Aug 2022
Data Science Analytics Specialist
- 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.
- Supervised junior team members in developing Machine Learning models throughout short and long-term projects.
Bridgei2i Analytics Solutions (Now part of Accenture)
Oct 2021 - Apr 2022
Senior Analytics Consultant
- 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.
- 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.
Oct 2020 - Sep 2021
Analytics Consultant
- 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