ALPANA KUMARI

Accomplished Software Engineer with extensive experience at GVR Techno Lab (on the Payroll of DRDO), specializing in Python programming and effective team management. Proficient in utilizing Python libraries such as Pandas and TensorFlow, alongside strong skills in PostgreSQL database management. Proven ability to enhance tool efficiency and model accuracy, demonstrating exceptional problem-solving capabilities and a commitment to rapid learning. Aiming to leverage expertise to drive innovative solutions in future projects.

• English
• Hindi

Date of Birth: 04/28/98

KPI Trend Tool 

A website based Automation tool to make the KPI trends in the desired customer(Airtel, Huawei, Ericsson, Nokia, etc ) format for data analysis. 

•This tool is serving more than 10 circles (AP, MUM, TNCH, PB…. etc) Tech stack:- Django, Postgresql, Rest API.

 Soft_AT/Physical_AT/Performance _AT Tool 

This is a collection of 3 tools having the same task but for different Ats. 

•This tool is a site deployment status Tracking solution. 

•The tool is utilized to view different dash board dashboard based. 

•Daily reports are uploaded on our website and data on the dashboard changes dynamically for analysis. •Tech stack:- Django, Postgresql, Rest API. 

MNIST Handwritten Digit Classification 

•Developed a machine learning model to classify handwritten digits from the MNIST dataset with 60,000  training and 10,000 test images.

• Preprocessed the dataset by normalizing pixel values and reshaping images to optimize model performance.

•Built a Convolutional Neural Network (CNN) using TensorFlow/Keras to achieve high accuracy in digit recognition.

•Applied techniques like data augmentation and dropout to reduce overfitting and improve generalization. •Evaluated model performance using accuracy, precision, recall, and confusion matrix metrics. 

•Achieved an accuracy of over 98% on the test set through model fine-tuning and hyperparameter optimization. 

• Automated data loading, preprocessing, and model evaluation using Python, NumPy, and Pandas

I hereby declare that all the above-furnished information is true to the best of my knowledge and belief. The originals will be produced as required.