MADHU KUMARI SHAW
Data Scientist
HYDERABAD,Telangana
Summary
I am a passionate Data Science Enthusiast with 9 Months of Internship experience and Overall 3 years Experienced. I have built Machine Learning Models for ExcelR using Python. I Believe, I am Good with Data Cleaning, Exploratory Data Analysis, Model Building, and Deployment. I have Experience working on projects in similar areas
Overview
3
3
years of professional experience
1
1
Certification
Work History
Data Scientist - Intern
ExcelR Solutions Pvt Ltd
Hyderabad
10.2022 - 06.2023
- Built Machine Learning Models in python Worked on Various Python Libraries Including NumPy, MatplotLib, Pandas, Seaborn, Scikit-Learn, NLTK and many Other Worked on Live Projects.
- Successfully interpreted data in order to draw conclusion for managerial action and strategy.
- Experience with data science models including Supervised, Unsupervised,DL Algorithms
Data Annotator - Consultant
Netscribes India Pvt Ltd
Kolkata
02.2020 - 09.2022
- Identified data entry errors and corrected mistakes to achieve near-perfect accuracy in data sets.
- Entered data into spreadsheets, documents and databases with high accuracy rate.
- Selected and edited documents for publication and display .
- Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services.
Education
Bachelor of Computer Applications - Computer And Information Sciences
07.2018
Skills
- Machine Learning
- SQL
- Data Management
- Microsoft Office
- Analytical and Critical Thinking
- Advance Excel
- Tableau
- Python
- R
- Numpy
- Data Mining
Languages
Hindi
First Language
English
Proficient
C2
Bengali
Proficient
C2
Certification
- Machine learning with Python - IBM
- Data Science - ExcelR solutions
Project Undertaken
Project Done during internship and Certification
1. Fake Bill Detection (Oct 22 - Dec 22)
- To classify a bill weather its genuine or fake
- The “Invoices” that are usually treated as ‘fake’ are those where in the GST invoices are raised by an entity without actual supply of goods or services or payment of GST
- Deployment Model - Logistic Regression
2. To predict the price of Apple stock for next 30 days on the basis of given data (Jan 23 - Mar 23)
- Build a model to predict the Stock price for the said period by splitting the data into train and test set.
- Find trends in short term and long term.
- Impact of external factors or any events
- Methodologies used - ARIMA, SARIMA
3. Resume Classification (Apr 23 - Jun 23)•To Create a Resumes Parser based on Natural Language Processing to extract required information from resumes.•To make case of selection resumes for recruiter without actually going through each of them.•To help candidates to find and apply the most suitable job roles form the job.
- Deployment Model - Random Forest
Hobbies
- Travelling
- Cooking
Declaration
I hereby declare that the above-mentioned information is correct up to my knowledge and I bear the responsibility for the correctness of the above-mentioned particulars.
Timeline
Data Scientist - Intern - ExcelR Solutions Pvt Ltd
10.2022 - 06.2023
Data Annotator - Consultant - Netscribes India Pvt Ltd
02.2020 - 09.2022
Asansol Girls College - Bachelor of Computer Applications, Computer And Information Sciences
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