Machine Learning Engineer

Mastanamma

MACHINE LEARNING ENGINEER

+91-891******* *************@*****.*** mastanamma reddy Education

Amara college of Engineering Narasaraopet

BACHELOR OF ENGINEERING, ECE April 2016

• University of JNTU, Kakinada

Carrier Objective

To work for an organization which provides me the opportunity to improve my skills and knowledge to grow along with the organization objective.

profile summary

A Data Science Enthusiast with 3+ years of experience driving technical and analytical projects.

• Worked as an analytic scientist developing various Machine Learning models like Linear Regression, Logistic Regression, Decision Tree, SVM based on existing data in Python.

• Experienced in varied technology environments and platforms such as R, Python, C, Tensor flow, Keras, Com- puter Vision, Open CV, Image Processing (CNN), Excel.

• Good at exploratory data analysis and different statistical algorithms.

• Expert in pre-processing the data i.e. missing value treatment using single and multiple imputation tech- niques.

• Worked on NLP in text pre-processing techniques like Spacy, Noisy removal, Lexicon Normalization, Object Standardization and text analytics.

• Involving into Text to features like Syntactical parsing, Entity Parsing, Statistical features and Word Embed- dings, Text classification and Text matching techniques.

• Expert in extracting information fromwebsitesusingBeautifulSoupandurllib.This techniquemostlyfocuses on the transformation of unstructured data.

• Worked on image Classification using OpenCV, Openface, HaarCascade Classifier and hdf5.

• Worked on Deep neural networks like RNN, LSTM and CNN.

• Worked on Chatbots and rest api integrations using flask.

• Worked on dhcpdoctor tool for testing IPv4 and IPv6 DHCP services.

• Working on machine learning for anomaly detection in Netflow data. Projects

1. Chest-X-Rays Detection

In this project, We worked on convolutional neural network to detect and classify diagnoses of patients. The CNN was trained using Keras, with the TensorFlow backend. The model is similar to the VGG architectures; 2 to 3 convo- lution layers are used in each set of layers, followed by a pooling layer. Dropout is used in the fully connected layers only, which slightly improved the results.

• Technologies - CNN, Opencv(computer vision) and python

• Tools - Spyder, Anaconda

2. Website Chatbot

In this project, We worked on Fuzzy-wuzzy library for matching the user’s question with my question-bank .csv file and returning an answer if match is more than 80 out of 100 otherwise we show similar question. This will find the nearest matching question in the question column of .csv file and return the answer along with other details.

• Technologies - Fuzzywuzzy, Flask, Natural language processing and Python

• Tools - Jupyter-notebook

3. Person Tagging

In this project, We worked onwhenthepersonisdetectedbycamerathenthepersonisautomaticallytaggedasun- known or if the face is also recognized by camera then the person is tagged as name of the personwhoisrecognized by camera.

• Technologies - CNN, Opencv(computer vision), dlib and Python

• Tools - Spyder, Anaconda

4. Fire Detection

In this project, We worked on convolutional neural network (CNN) for identifying fire in videos and features vector to classify whether a frame is fire or not and tested on real video sequences.

• Technologies - Opencv, VGG16, Tensorflow, Keras

• Tools - Spyder, Anaconda

5. Language Translation

In this project, we worked on translation of English sentence to other language sentence (French, Spain & German) using a LSTM based architecture.Here, we passed English sentence words passed at the LSTM input layer and cor- responding other language words generated at the output layer.

• Technologies - Natural Language Processing, RNN, Word2vec

• Tools - Pycharm, Anaconda

Technical Strengths

Artificial Intelligence Computer Vision, Image Processing, NLP, Time Series Forecasting Machine Learning SupervisedAlgorithms(Linear and Logistic Regression, Decision Tree...), UnsupervisedAlgorithms Deep Learning RNN, LSTM, CNN and Artificial Neural Networks. Programming Languages python, R and C

Experience

Maren solutions PVt Ltd Hyderabad

MACHINE LEARNING ENGINEER Jan 2020 - Current

• Working on health domain projects using Computer vision/Deep learning. TCPWAVE Pvt Ltd Hyderabad

MACHINE LEARNING ENGINEER July 2019 - Jan 2020

• Worked on Chatbots and Network Traffic Threat Intelligence using Artificial Intelligence/Machine Learning techniques. Techcient Services Pvt Ltd Hyderabad

SOFTWARE ENGINEER Feb 2017 - July 2019

• WorkedonSupervisedandunsupervisedalgorithms,Deepneuralnetworks(RNN, CNN, LSTM) andNLPandArtificialIntelligenceBasedSecurity SurveillanceSystem.(Home Security Project).

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