I am Siddheshwar Shrishail Koli,a dedicated and passionate data science student of DYPIMED College. Eager to apply my knowledge and skills to real-world data challenges and am constantly seeking opportunities to learn and grow in the field of data science. Has foundation in statistical analysis, machine learning, and data visualization. And learnt Python and SQL, and have hands-on experience with tools like Jupyter, PowerBI and Tableau. I also have good communication and teamwork skills, gained through group projects and internships. I enjoy being part of the data science community, contributing to projects on GitHub.
Developed ML-based solutions for multiple client projects, improving workflow efficiency.
Developed Python Based multiple client projects, using Django framework such as Jewellery Website.
Dr. D.Y.Patil Institute of Management and Entrepreneur Development (DYPIMED).CGPA: 8.21
Jaysingpur College JaysingpurCGPA: 8.40
This project aims to predict which customers at Bank GoodCredit are at risk of having bad credit. By analyzing customer account, enquiry, and demographic data, the goal is to identify key factors that impact credit risk. The model will help the bank reduce bad debt and make better decisions about who to offer credit to. The model's performance will be measured using Gini and rank ordering.
Developed an intelligent machine learning model to enhance ITSM by predicting high-priority incidents, forecasting ticket volumes, and auto-tagging tickets with accurate priorities and departments. The system enabled proactive issue resolution, reduced reassignment delays, and supported better RFC risk management and resource planning.
Developed a machine learning model where Grouped players according to their in-game skill metrics (e.g., dribbling, passing, shooting) using unsupervised learning.
Based on the given features in the dataset, we need to predict whether a user will engage with (watch) a recommended movie in the future, Irrespective of the movie genre or duration.
Heart disease describes a range of conditions that affect your heart. Diseases under the heart disease umbrella include blood vessel diseases, such as coronary artery disease. From the CDC, roughly every 1 in 4 deaths each year are due to heart disease. The WHO states that human life style is the main reason behind this heart problem. Apart from this there are many key factors which warns that the person may/may not getting chance of heart disease.
Affordable health insurance to thousands of customer. You're tasked with creating an automated system to estimate the annual medical expenditure for new customers, using information such as their age, sex, BMI, children, smoking habits and region of residence. Estimates from your system will be used to determine the annual insurance premium (amount paid every month) offered to the customer..
Based on given feature of dataset we need to predict the performance rating of employee
The goal of this project is to build a predictive regression model that can be useful to forecast the flight fare based on various factors Flight ticket prices are highly unpredictable, often changing day to day, today we might see a price, check out the price of the same flight tomorrow, it will be a different story, making it challenging for travelers and airlines to forecast costs
Using the provided dataset (both daily and hourly records), we aim to build machine learning models that accurately estimate rental counts to support better decision-making for smart city mobility systems.The goal of this project is to predict the number of bikes rented in a bike-sharing system based on historical rental data and contextual features such as weather conditions, time of day, season, and holidays.
Based on given feature of dataset we need to predict which customer make transaction in the feature irrespective of the amount of money transacted
Below are the details to reach out to me!
