About
SanskarShivhare
I'mA Data Scientist
About
I am a data scientist with a passion for extracting meaningful insights from complex datasets. My daily routine involves harnessing the power of Python, R, and SQL to analyze and interpret data, while also leveraging machine learning algorithms and statistical methods to solve real-world problems. I have experience with data visualization tools such as Power BI and Tableau, enabling me to present data-driven stories in a compelling and informative manner. Continuously exploring advancements in AI and cloud technologies, I strive to deliver actionable insights that drive business decisions and innovation. I excel at transforming raw data into strategic assets and enjoy the process of uncovering hidden patterns and trends.
Experties
Here Are Some of My Skills
Experties
1 - Data Preprocessing and manipulation
- Excel & MySQL / MySQLite
- Pandas & Numpy
- Power BI & Tableu
- Many more ...
3 - Machine Learning and deep learning
- Supervised / unsupervised / ensemble machine learning algorithms
- Statistics & Statistical Library
- Genrative AI
- Computer Vision & NLP
- CNN & RNN & Time Series Forecasting
2 - Cloud & Services
- Microsoft Azure
- AWS
- python & R
- Learning more ...
4 - Soft Skills
- Continuous Improvement
- Excellent Communication
- Public Speaking & Presentation
- Task Administration and Fixing issues
- Reporting & Networking
- Data Driven Analytics
Works
Projects Completed
Portfolio
Gurgaon House Prediction
I have made one mega project by using machine learning,in which i have predicted price of houses in Gurgaon city as well as a recommendation system for properties and one page for analysis of city property.
Fashion Recommender System
I developed a fashion recommender system for Indian ethnic dresses using a ResNet model for image embeddings. This deep learning approach provides accurate and personalized fashion suggestions, enhancing the user shopping experience.
Credit Risk Modeling
I developed a credit risk modeling system using machine learning techniques. This project involved analyzing financial data to predict the likelihood of default, enabling more accurate and efficient credit risk assessments. The model helps financial institutions make informed lending decisions by identifying high-risk applicants and minimizing potential losses.
Certifications
Read My Case
My Certificates
Leetcode SQl 50 badge
I have solved 50 SQL questions on Leetcode
Leetcode Pandas 50 Badge
I have solved 50 Pandas Leetcode questions
Hackerrank Basic Python Certificate
Cleared basic python test by hackerrank