CHINMAYEE MEHER
Bhubaneswar
Summary
Data Scientist with 2 years of hands-on experience in the e-commerce domain.
Strategic professional versed in distilling and analyzing large data sets. Develops and delivers presentations detailing data findings. Articulate and collaborative with expertise in algorithm design and data collection. An organized and motivated individual, eager to utilize time management and organizational skills across diverse settings. Seeking entry-level opportunities to enhance abilities while contributing to company growth.
Overview
4
4
years of professional experience
1
1
Certification
Work History
Data Scientist
Cognizant
11.2022 - Current
- Developed a predictive model using Python and SQL to analyze customer orders for an e-commerce platform.
- Handled datasets with 4 lakh records, ensuring data integrity and preprocessing for optimal model performance.
- Used the K-Nearest Neighbors (KNN) algorithm to predict customer order trends based on historical data
- Delivered insights through interactive dashboards, improving inventory management by 20% and reducing stockouts by 15%.
- Built a Random Forest regression model to forecast product demand based on historical sales data.
- Cleaned and preprocessed large datasets to ensure data quality, using feature selection to enhance model accuracy.
- Applied Random Forest to predict demand with high accuracy, which resulted in a 25% reduction in excess inventory.
- Visualized results using Matplotlib, providing actionable insights for inventory and marketing teams.
Programming Analyst
Cognizant
11.2021 - 09.2022
- Provided enhancements and technical support for SAP Commerce (Hybris) platforms, with a focus on resolving complex system issues
- Collaborated with cross-functional teams to troubleshoot and optimize platform performance, focusing on data integrity and system efficiency
- Worked on data insights, data model for customer order report and sales performance
Associate Consultant
Pradeep IT Consulting Pvt Ltd
09.2020 - 11.2021
- Worked on e-commerce projects involving WCMS page creation, custom components, and data modeling
- Developed and maintained data models and configurations, contributing to the seamless operation of e-commerce platforms
Education
B.Tech - Computer Science Engineering
BIju Pattnaik University and Technolgy
08-2020
Skills
- Python
- SQL
- Data Preprocessing
- K-Nearest Neighbors (KNN)
- Regression Analysis
- Random Forest
- Clustering
- Pandas
- Time-series analysis
- Statistical Analysis
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
- Jupyter Notebook
- Google Colab
- DBeaver
- Postman
- MsSQL
- Azure Data Storage
- Experience with datasets up to 4 lakh records
- Full-stack development
- System integration
- Customization
Certification
Executive Data Science and Machine Learning Intellipaat
Professional Development
- Completed courses in data science, machine learning, and data analysis.
- Attended workshops on advanced data analytics techniques.
Projects
Customer Order Prediction Model:
To predict future customer orders and optimize inventory planning., Data preprocessing, K-Nearest Neighbors (KNN) classifier, data analysis using SQL and Python, Improved inventory planning by reducing stockouts by 15% and enabling better forecasting of customer demand.
Product Demand Forecasting Using Random Forest:
To forecast future product demand for an e-commerce platform using a Random Forest regression model., Data preprocessing, Random Forest regression, feature selection, data visualization using Matplotlib, Reduced excess inventory by 25%, leading to optimized inventory management and cost savings.
Hobbies and Interests
- Puzzles and Strategy Games
- Data Science Competitions
- Travelling
Timeline
Data Scientist
Cognizant
11.2022 - Current
Programming Analyst
Cognizant
11.2021 - 09.2022
Associate Consultant
Pradeep IT Consulting Pvt Ltd
09.2020 - 11.2021
B.Tech - Computer Science Engineering
BIju Pattnaik University and Technolgy
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