Shubhkirti Prasad

About

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I'm a Data Scientist / Analyst having knack for Identifying and Solving complex business problems to provide Impactful and Efficient solutions using Data Science, Machine Learning, Deep learning and Statistics.

Skills

Python

SQL

PyTorch

Tableau

AWS

Azure

Cloud

Git

Programming 80%

Statistics 90%

Databases 75%

Machine / Deep Learning 80%

Natural Language Processing 75%

Cloud (AWS / Azure / Google Cloud)55%

Resume

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Summary

Results-oriented Data Scientist/ Analyst with a 3-year track record in Python and SQL, showcasing innovation and a commitment to meeting deadlines. Proficient in project management, demonstrated by successful execution with minimal supervision. A dedicated learner, always eager to acquire new technologies and skills.

Education

Indiana University Bloomington, USA

2021 - 2024

MS. Data Science -- GPA: 3.7/4.0

Course Work: Advanced Database Concepts ,Applied Machine Learning, Computer Vision, DBMS, Data Visualization, Econometrics, NLP (Supervised, Unsupervised, Vector Embeddings, Context Models, LLM)

Stanford University, USA

Mar 2024

Machine Learning -- Grade: A+

Course Work: Regression (Linear, Logistic, Multiple, etc) , Neural Networks, Decision Trees, Recommender Systems, Anomaly Detection, Reinforcement learning

Manipal Institute of Technology, Manipal, India

2017 - 2021

B.Tech., Mechanical Engineering (Minor: Digital Marketing) -- GPA: 8.4/10.0

Academic Experience

Teaching Assistant (Statistical Analysis for Decision Making)

Aug 2023 - Dec 2023

Indiana University, USA

Spearheaded statistical modeling workshops using R, significantly improving over 40 graduate students’ understanding of data distribution and hypothesis testing, culminating in a class average grade of A.
Integrated real-world datasets into curriculum to provide hands-on experience with statistical theories, enhancing students’ proficiency in MLS and A/B testing.

Associate Instructor (Usable Artificial Intelligence)

Jan 2024 - Present

Indiana University, USA

Leveraged expertise in Natural Language Processing and Machine Learning to mentor over 100 graduate students, enhancing their problem-solving capabilities and practical application of A/B testing methodologies.
Led a series of research initiatives, created and taught Gen AI learning modules including Prompt Engineering, LangChain, Huggingface, Model Finetuning, etc.

Professional Experience

Data Science (Gen AI / LLM Modeling)

May 2023 - Jul 2023

Four Colors Technology, USA

Lead the adaptation of Google’s PaLM 2, for a support chatbot on Vertex AI, utilizing LangChain and Model Finetuning
Improved the chatbot’s response accuracy by over 30% during A/B testing utilizing RAG and prompt engineering strategies (Chain of Thought, Zero-Shot, ReAct)

Data Science (OCR / SQL)

Aug 2021 - Nov 2021

DataOrc, India

Developed an OCR system achieving 72% accuracy in translating domain-specific handwritten text into English, using Convolutional Neural Network
Enhanced SQL query performance by 32%, employing Relational Algebra to support the deployment of a scalable, data-ready analytics platform.

Data Science (Financial Analysis)

Apr 2021 - Jul 2021

IBM, India

Conducted an in-depth pre/post-Covid data analysis of the financial health of BSE-500 companies, showcasing an over 12% decrease in their overall performance using ETL, Ratio Analysis, Trend Analysis (time series), ANOVA, and Discounted Cash Flow Analysis.
Led a project analyzing the correlation between IT investment and the firm’s financial performance for 4 fiscal years in the manufacturing sector, by creating data pipelines for data mining and statistical analysis, contributing to automated testing and monitoring of over 50 listed companies, resulting an efficiency increase of 38%.

Projects

Here are the projects I have worked previously worked on, showcasing my expertise in various domains!

All
NLP
Computer Vision

NewsMaker's Network

Topic Modeling with LDA

Sentiment Analysis with Universal Embeddings

Markov Random Fields

Object Edge Detection

Image Noise Reduction

Fourier Transformation

Advanced Prompt Engineering Techniques

Hand Drawn Image Classification

Object Classification

Movie Clustering

Tropical Storm intensity estimation

Using Raw and Infrared Satellite images using CNN

Music Note Detection

Canny Edge Detection

Detection of Parallel Lines