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Ankit Grover

91 8355814130 Github Gmail Medium

EXPERIENCE

IIIT , Hyderabad- Speech Processing Intern

MARCH 2021 - MAY 2021

● Under Prof. Anil Kumar Vuppala & Prof Chiranjeevi Yarra.
● Worked on SpeechProcessing andbuilding an
AutomaticSpeechRecognition(ASR)systemusing
Kaldi.

Dr Reddy’s Laboratories, Hyderabad — ML Intern

MAY 2019 - JULY 2019

● Developed an NLP based solution to classify
Standard Operating Procedures with 89%
accuracyforemployeeportalusing SupportVector
Machines in Python.
● Tech Stack : NLTK ,Spacy and scikit-learn
Project Link : https://github.com/Agrover112/DRL_SOP_Classifier

EDUCATION

Manipal University, Jaipur — Bachelor of Technology in Computer and Communication Engineering

JULY 2018 - AUG 2022 GPA:8.

Hiranandani Foundation School, Thane

12th ISC- APRIL 2017 - APRIL 2018 - 83.3% 10th ICSE- APRIL 2015 - APRIL 2016 - 93.8%

SUMMER SCHOOLS

Neuromatch Computational Neuroscience July-‘21

Worked on a research question to find if stimuli play a
role in task engagement in mice.
Project Link : https://github.com/seungjaeryanlee/nma-cn-project/tree/main

SKILLS

- Languages : Java ,C, Python

- Libraries:

○ ML/DL: scikit-learn ,Tensorflow,PyTorch, xboost,numpy,pandas.

○ Data Visualization : matplotlib,seaborn

○ NLP : NLTK,Spacy,LibROSA

○ Web: Flask, streamlit

- Applications: WaveSurfer , CISCO PacketTracer

- Database: MySQL,MongoDB

- Dev Tools: git,VS Code ,Heroku,SQL

- Environments : Windows, Linux ,WSL

PROJECTS

fliscopt — Mar’21 -contd.

● An Python library for flight scheduling optimization.
● ImplementedIteratedChainingmethod,withgenetic
operators and Early Stopping Criteria.
● Implemented modified Genetic Algorithms..
● Used asynchronous multiprocessing with PyPy to
speed the run time.
● GitHub Link :https://github.com/Agrover112/fliscopt

novel Coronavirus(nCOV) Forecasting and

Analysis in Python — Jan-Feb ’

● Analyzed and predicted the no.of COVID-19 cases in
Wuhan, China and USA.
● Analyzed various factors responsible for it’s spread by
performing feature engineering by using custom
features, data from the web.
● Github Link : https://github.com/M-68/corona_prophet

Fr-En Neural Machine Translation—

Sept-Nov’

● Worked on translation using Neural Machine Translation
techniques using Keras.
● Used Encoder-Decoder and experimented with
pre-trained Word2Vec & FastText
embeddings(visualizing them) on GRU/LSTM which can
improve BLEU scores.
● Link : https://www.kaggle.com/agrover112/translation-nmt

CORD-19 Semantic Search in Python — Jan-Feb’

● Implemented Semantic search on CORD-19corpus in
Python.
● Used a 2 stepprocess in which BM25Okapi was used
for text retrieval and SBERT for generating semantic
embeddings.
● Created visualizations of embedding clusters for
further insight.
Github Link: https://github.com/M-68/context_rank

PUBLICATIONS

Comparison-BasedStudytoPredictBreastCancer:A Survey .Grover,A.,Pradhan,N.,&Hemrajani,P.(2020)

https://link.springer.com/chapter/10.1007%2F978-981-15-6067-5_61

OPEN SOURCE PROJECTS/CONTRIBUTIONS

mlrose extended

— 2021

● Added leaky_relu activation function with tests.

Microsoft WSL

— August’21

● Added In-Preview options for Windows
Subsystem for Linux documentation.

Awesome Semantic Search

— April’21- contd.

● A curated list of resources related to Semantic
Search and Semantic Similarity tasks.
Github Link: Link

Scikit-opt

— August’21- contd.

● Contributed to new benchmark functions for
evolutionary optimization.

meta_resources — June 20 -cont'd.

● Created and open-sourced meta resources.
● Contains ~500+ resources curated, containing
lectures ,talks,datasets,materials all open source.
● Current final view :Final View
Github Link: https://github.com/M-68/meta_resource/tree/deploy

Activation Functions using TensorFlow 2 in Python

— August’20

● ImplementedactivationfunctionsofTensorFlow
such as ELU,SELU,GELU,PRELU,etc.
● Custom Keras Layers were used using Python.
Github Link: https://github.com/M-68/ActivationFunctions

Graduate Admissions Web App in Python

— Oct-Nov’20

● Trained a machine learning web application using
Streamlit in Python.
● A REST Api with trained Catboost model runs as a
background Windows process for giving predictions.
● Tech Stack -Python ,Streamlit, catboost,scikit-learn
,Flask,waitress
Demo Link :  https://www.youtube.com/watch?v=fjgICznjG2Q
● Github Link : https://github.com/Agrover112/Graduate_Admissions_Prediction

ACHIEVEMENTS

Hackathons


● 4th place and Judges Special mention in E-Summit
Datathon,IIT Bombay.
● Top 10 in IIIT-Hyderabad Megathon.

Academic


● Governor’s Gold Medal from 1,68,591 students in ICSE
examinations

Scholarships/Fellowships

● Jupyter Con 2020 Diversity Scholarship Recipient

 ● Selected for University of Florida (UF), Senior

 Certificate Program for Semester Exchange 2021(rescinded ).

● Udacity Bertelsmann 2019 Scholar.

 ● Selected for TUDortmund, InternationalSummer
School 2020 on Resource-aware Machine Learning( REAML )

● Selected for IIIT-Hyderabad, Excitation of

 Research ( ExoR ) 2020 (Cancelled)