Data Science
Mary Steffi M
Senior Executive
Chennai
Summary
I'm Aspiring to become a Data Scientist and use my Analytical skills, attention to details, technical proficiency in Machine learning , Business intelligence, Data Visualization and Data modelling to turn Data into Actionable insights and thus drive Business success.
For past one year I have taken Data Science course and have worked as an Intern with 5 projects assigned. Also joined and completed Power BI certification.
Overview
4
4
years of professional experience
4
4
years of post-secondary education
3
3
Certifications
2
2
Languages
Work History
Senior Executive
SAGILITY, formerly HGS Healthcare
Chennai
11.2018 - Current
- For 3 years, I am responsible for Analyzing patients’ case files and comparing data with multiple applications and confirming availability and validation of medical records submitted by patients
- Our Accuracy Score benchmark is 98% and I have consistently followed the Accuracy score of 100% and have received 2 Stardom-Awards and 2 Top Gun Awards for my Work
- Earlier, at Airtel DTH, have experience of 8 months of Handling Customer Queries and providing technical support to achieve an ON-Call resolution rate of 94%.
DATA SCIENCE CONSULTANT
DATAMITES
01.2021 - 08.2021
- We were assigned 4 Capstone projects and 1 Client based projects
1) Flight fare prediction using KNN Model
2) Rice leaf disease Classification using CNN model
3) Insurance claim prediction using XGBoost Model
4) Liver disease prediction using Random Forest model and XGBoost model
5) Bank credit score using XGBoost model
Education
Bachelors in Engineering - Electronics And Communication Engineering
CK College of Engineering And Technology
Cuddalore 08.2014 - 03.2018
Skills
DATA ANALYTICSundefined
Accomplishments
Machine Learning Model using XGBoost to predict Employee Performance
- AIM:
The Model was built using Python programming,the predict the Employee performance based on the given observations and features
- PROJECT SUMMARY:
To build a Data science project, which analyses the current employee data and find the core underlying causes of this performance issues,with a clear indicator of non-performing employees, so that any penalization of non-performing employee, if required, may not significantly affect other employee morals
- The following insights are expected from this project
1. Department wise performances
2. Top 3 Important Factors effecting employee performance
3. A trained model which can predict the employee performance
based on factors as inputs. This will be used to hire employees
4. Recommendations to improve the employee performance
based on insights from analysis
RESULT:
- For the categorical values of the Target variable, we preferred Tree based Model We tried out with Random Forest and XGboost models and as we can see XGboost has better performance results as compared with Random Forest Model
- Before feature selection and removal, the accuracy was 96% After feature selection and removal, the accuracy reduced to 94% but the Confusion matrix shows better performance rate
- PROJECT SOURCE CODE: https://colab.research.google.com/drive/1b72uZkgMgJebHJ_ke0jHO7Vz_IO95-AK?usp=sharing2
Additional Information
- Recently completed Power BI certification.
- Reports with Data Visualization
- DAX usage
- Tooltip
- Drill trough
- AI based visual techniques
- Forecasting
- Filters
- Slicers
- Bookmarks
- Performance Analyzers
- SQL server Installation and connection
- Power BI installation
- Created reports of Data Analysis and Data Visualizations for Datasets
Certification
CERTIFIED DATA SCIENTIST
Interests
Miniature Art Works
Music
Gardening
Timeline
DATA SCIENCE CONSULTANT
DATAMITES
01.2021 - 08.2021
Senior Executive
SAGILITY, formerly HGS Healthcare
11.2018 - Current
Bachelors in Engineering - Electronics And Communication Engineering
CK College of Engineering And Technology
08.2014 - 03.2018
CERTIFIED DATA SCIENTIST
DATA SCIENCE FOUNDATION
POWER BI
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