HEERA LAL

*th Aug ****, India

@ admmry@r.postjobfree.com +91-964******* ( Hyderabad, india

è heera-lal-518614136/ ¥ heerendrachoudhary

OBJECTIVE

To work in a growing organization where I would be able to utilize my skills and capabilities to con- tribute effectively for the growth of organization and which contributes to my personal growth. ACHIEVEMENTS

GATE-IN 219: AIR 503

UG University Rank: 6

PROGRAMMING

LANGUAGES

Python C++ SQL

HTML5 CSS

TOOLS &

SOFTWARE

Pandas Numpy Matplotlib

Scipy NLTK OpenCV

MATLAB Github Neuron

Opensim

POSITION OF

RESPONSIBILITIES

Graduate Teaching Assistant

Sunshine Mentor-ship Head

COURSES

• Foundation of Machine

Learning

• Deep Learning

• Scientific Computing

• Computational Neuro-

science

• SQL for Data Science

• Object-Oriented Program-

ming in Python

• Advanced Machine Learn-

ing and Signal Processing

EDUCATION

M. Tech Indian Institute of Technology, Hyderabad x 07 2019 – 06 2021 ( Hyderabad, India

• Biomedical Engineering, GPA: 8.94

B. Tech Government Engineering College, Ajmer

x 06 2014 – 06 2018 ( Ajmer, India

• Electronic Instrumentation & Control Engineering, GPA: 71.26 EXPERIENCE

Data Analyst Intern Blitjobs

x 06 2020 – 08 2020 ( Bangalore, India

• Problem statement, Data collection, cleaning, exploratory data analysis, a litterateur survey on various machine learning algorithms, and building a model to predict po- tential clients & extract useful information.

• Presenting insights and a new strategy to the Stack holders. PROJECTS

Classification of LUT Etiologies ¥

• Multi-class Classification of multiple etiologies of the Lower Urinary Tract resulting to similar symptoms in Urofowmetry by using a Computational Neuro-mechanical model of the Lower Urinary Tract at Spinal Cord Movement Lab under guidance of Dr. Mohan Raghavan.

Real time Facial Expression Detection ¥

• Developed a CNN based neural network model for expression detection from real time feed from camera.

• Deployed using Flask in local system. Expressions were displayed as overlays on real time web cam feed.

Sentiment Analysis of Movie Reviews ¥ ~

• Model was trained on movie review data using Naive Bayes classifier.

• Deployed using Streamlit and Github to predict sentiment of unseen reviews from user.

OurFood ¥ ~

• Developed and deployed a Flask based web application on Heroku. To collect food orders from multiple users with features like Add, Update and Delete orders.

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