Chaitanya Madhu

ML Engineer Data Scientist Innovation Lead

966-***-**** . ada0g3@r.postjobfree.com

Automated the pipeline flow of two major Startups using Data Science innovations. Looking to work with a fluid nerd team and recreate new ML strategies. Skills

Machine Learning

Python - SVM,Decision

Tree, Random Forest,

KNN, Logistic Regression,

xgboost, K-means,

DBSCAN, Hierarchical

Clustering.

NLP

Python - NLTK, Spacy,

TextBlob, Vader

Sentiment, Word2Vec,

Seq2Seq.

Data Science

Python - Pandas, Numpy,

Scipy, Matplotlib,

Scikit-learn, OS, Seaborn,

Dlib, Open CV.

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Data Generation

Generative Adversarial

Networks (GAN), DCGAN,

LDA, t-SNE.

Deep Learning

Python - Tensorflow,

Keras. Multi-layer

Perceptron, CNN, RNN,

LSTM, GRU, Seq2Seq

models and modern

activation functions.

Databases

Sql - My Sql

NoSql - Mongo DB

Experience

Bricolage Technologies— NLP & Text Mining Internship August 2019 - November 2019

● Contributed to Automate the entire pipeline processes of this US-based Fashion Trends Forecasting Startup using NLP & NLU by means of a custom built library - Bric

(Enhanced over NLTK, Spacy and Textblob).

● Framed the custom library Bric in a flexible and extendable way to meet the future requirements of the company.

2

● Helped the company to cut-off its overdue expenditure (around INR 2,00,000 per month) for Crawling and NER tasks with the indulgent of Machine Learning algorithms.

C-Affine AI — Machine Learning Internship (NLP & CV) September 2018 - July 2019

● Introduced new algorithmic approaches for the mood-sharing chatbot project -

"Advanced Digital Personal Assistant - Caffine".

● Implemented LSTM,GAN and CV techniques to build NLU and NLG sections of the digital personal assistant.

● Supported the project for a long period(about 1 year) in creating an effective human-computer interactive design.

Projects

Chatbot using Seq2Seq—

● Developed an advanced chatbot with training data from Cornell movie dialog corpus.

● Used Tensorlayer along with Tensorflow to get the task done with less time-complexity.

● Also invoked new activation function aggregations to generate effective replies in no time. https://drive.google.com/open?id=1yow0wJsANZ1B7QQ845wdJJGuJ16nga1i

Data Generation using GAN & DCGAN—

● Designed the whole project under two sections:

a) GAN for Music Generation b) DCGAN for Human Faces Generation.

● Used GAN on Piano (mono-instrumental) tunes to generate new tunes of the same style.

● Applied DCGAN on human faces dataset to generate fresh artificial human faces.

● Improvised the existing GAN algorithm, eliminating repeated sequence operations which resulted in reduced time-complexities and boosted performance. https://drive.google.com/open?id=1bTG0SKapQjVn5Io5BOWaziMpc01Kp4pJ 3

Stock Price prediction using LSTM—

● Implemented LSTM network to predict the future stocks of Apple Inc.

● Also tried implementing a new version of the Stock price prediction model by considering the aggregate of both previous stock trends dataset and company business vulnerabilities dataset.

● Implemented a sequel to the project but using the time-series approach for a much efficient and precise value predictions.

https://www.kaggle.com/chaitanyacc4/predicting-stock-prices-of-apple-inc/data

D Drowzy using Open CV—

● Modelled techniques using OpenCV for the tasks of face & eye detection.

● Used Euclidean distance measure to keep track of the degree of eye-lid movements and dizziness accommodated with substantial time intervals.

● Also associated the project with an android application to alert drowsy vehicle drivers to prevent road crashes.

https://drive.google.com/open?id=1KwupIGGgfWPEAlBm4_9j59SySo8V9-yL Education

Degree Name of the Institute CGPA

B Tech - Computer Science &

Engineering

(year of pass: 2020)

IIIT-Nuzvid 9.2/10 [2019]

Senior Secondary (Pre-University

Coaching)

IIIT-Nuzvid 9.0/10 [2016]

Secondary (High School) SPPPRZPHS-EM

(Pandalapaka)

9.8/10 [2014]

4

Awards

● Winner of National Level Paper Presentation contests(on Machine Learning Enhancements) held at GEC & RGUKTN [2018]

● Best Speaker Award Recipient at Techzite'18 held at IIITN (in a combat of 500 participants) [2018]

● Prathiba Award Recipient [2014]

Languages

Python, C, Java and proficient in English, Hindi and Telugu.

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