Hello, my name is
Shreyas Patil
And I'm a

About me

I'm Shreyas and I'm a

I am Shreyas Patil, a dedicated Data Science enthusiast with a strong foundation in mathematics and Advance analytics. Proficient in Python, SQL, and a range of data analysis tools, I have hands-on experience in handling large datasets, data cleaning, exploration, and applying machine learning algorithms.
With experience at ARYA, I've worked on diverse projects, from predictive modeling to AI-driven business solutions. I've also developed end-to-end projects like a Delivery Time Prediction, Portfolio Bid prediction, showcasing my skills in libraries like Numpy, Pandas, and Sk-Learn. My passion for continuous learning is evident through certifications and active participation in advance projects .

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My skills

My creative skills & experiences.

Hello there! I'm currently diving into the world of AI and Machine Learning & excited to use my skills to solve everyday problems through projects

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Languages
Python, R, SQL
Tools
 Jupyter Notebook, Pycharm, VS code
Data Science
 Data Collection, Data Wrangling, EDA
Machine Learning
 Supervised Learning
Mathametics for ML
 Statistics & Probability
Visualization Tools
 Tableau, Power bi, Advance Excel
Databases
 MySql, MongoDB

Projects

Delivery Time prediction

Achieved an accuracy rate of over 80% for a delivery time prediction model, and optimized the algorithm to improve delivery efficiency and workflow, resulting in a significant reduction in operational time and costs. Implemented GitLab's continuous integration and deployment with AWS, enabling efficient use of the model and resulting in faster and more streamlined operations.

Library used : Numpy, Pandas, Sk-Learn, Matplotlib
Lead Score Model

Developed a lead conversion prediction model with ~90% accuracy. Enables X Education to target the highest potential leads, boosting sales efficiency. Identified key factors influencing conversion: website engagement, lead source, recent activity, and demographics. Provides X Education with actionable insights to optimize marketing and lead generation. Employed rigorous model validation using confusion matrix, ROC curve, and precision-recall analysis. Ensures the model's reliability and builds trust in its predictions.

Library used : Numpy, Pandas, Sk-Learn, Matplotlib
Insurance Policy Chatbot (GEN AI - Google Gemini pro)

This project develops a Retrieval-Augmented Generation (RAG) system using the LangChain framework to create a chatbot capable of answering questions about insurance policy documents. The system aims to improve accessibility and understanding of insurance policies by providing accurate and relevant responses to user queries.

Library used : LangChain, Python, Google Gemini(LLM)
Amazon Sales Data Analysis

Analyzed sales data using advanced analytical methodologies to uncover trends across monthly, quarterly, and annual periods. Identified key performance metrics including revenue, customer behavior, and marketing channel effectiveness. Produced insights to drive profit-boosting strategies in inventory management, targeted marketing, and pricing optimization displayed in comprehensive dashboard.

Library used : Numpy, Pandas, Matplotlib, Power BI
Operation Data Analytics

Built a database and crafted SQL queries to pinpoint trends in marketing and user engagement data. Identified key patterns in content preferences, device usage, and user retention over time. Provided actionable insights to optimize marketing strategies, improve user experience, and inform investors.

Library used : MySQL server, SQL, Power BI

Work Experience

Data Analyst

Wakefit
2024 - Present

* Developed an end-to-end cost feasibility model for comparing last-mile costs between in-house and third-party solutions.
* Automated ETL workflows using Git Actions and Airflow, optimizing data processing and reducing manual effort by 4 hours daily while efficiently loading data into AWS Redshift.

Quantitative Analyst

ARYA
2023 - 2024

* Designed analytical tools for efficient data access and insights visualization, featuring over 10+ screens.
* Data preparation and modeling on 7500+ ERCOT market constraint patterns, ensuring data accuracy.
* Developed over five proof-of-concept(POC) projects using multivariate time series and boosting models for portfolio modeling, leveraging quantitative research methodologies and exploratory data analysis( EDA ).

Analyst

Gemscap
2021 - 2023

* Built semi automated Quant strategies.
* Analyzed over 10+ ECN data for efficient execution.

Data Science Internship

Ineuron
2022 - 2023

* Led over 3 BI and ML projects, overseeing the entire project lifecycle from architecture design to successful deployment on Azure and AWS cloud servers.
* Use data visualization techniques to represent complex information, in the form of charts, graphs, and tables.
* Work closely with the data analytics team.

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Get in Touch

Looking forward to hear from you !!
Let's connnect

Name
Shreyas Patil
Address
MH, India
Email
patilshreyas1998@gmail.com
LinkedIn
GitHub
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