Sushant
Bhiwani
Summary
Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in data science.
Overview
3
3
years of professional experience
1
1
Certification
Work History
Software Engineer
Persistent Systems
Gurgaon, India
02.2022 - Current
- Performed exploratory data analysis and generated insightful visualizations.
- Streamlined reporting processes by automating routine tasks using Python.
- Reduced manual processing time with automation scripts, allowing more focus on strategic initiatives within the department.
- Increased efficiency in data extraction by utilizing Python scripts for retrieving relevant information from database.
Junior Data Scientist
Zummit Infolabs
Bengaluru (Remote)
11.2021 - 02.2022
- Reduced model training time by implementing parallel computing techniques and optimizing code performance.
- Enhanced data accuracy by cleaning and preprocessing datasets for analysis.
- Optimized machine learning models by tuning hyperparameters and selecting appropriate algorithms.
Education
Bachelor of Technology - Computer Science
Technological Institute of Textile And Sciences
Bhiwani, India07.2022
Skills
- Python Programming
- Data Cleaning
- Data Wrangling
- Data Analysis
- Machine Learning
- Natural Language Processing
Projects
US Police Shooting - Case Study
- Conducted a case study on US police shootings, analyzing data to derive insights on variables such as location, race, age, year, and name.
- Utilized libraries including NumPy, Pandas and Matplotlib for analysis and visualization.
Movielens - Case Study
- Conducted a case study on MovieLens data, examining user ratings to uncover trends in genres, user preferences, and rating patterns, leading to actionable insights.
- Created intuitive visualizations using Matplotlib, Seaborn and Plotly which helps to find out features affecting the ratings of any particular movie to build a model to predict the movie ratings.
Prostate Cancer Detection
- Worked on the Image segmentation of MR Images of prostate.
- Achieved 89% model accuracy, a 14% improvement, by implementing advanced machine learning techniques and optimizing feature selection, leading to more reliable and actionable insights for decision-making.
Certification
- Master Program AI Engineer - Simplilearn
- Complete Data Science Bootcamp - Udemy
- Python Beginner to Master - Udemy
- Azure Fundamentals - Microsoft
- Azure AI Fundamentals - Microsoft
- Machine Learning Advanced Training - Simplilearn
Timeline
Software Engineer
Persistent Systems
02.2022 - Current
Junior Data Scientist
Zummit Infolabs
11.2021 - 02.2022
Bachelor of Technology - Computer Science
Technological Institute of Textile And Sciences