U.S. : +15106332372|U.K. : +441253335595|India : +919989216176

 

Sitaram S.

Data science consultant

Commitment
0/ 5
Competency
0/ 5
Reliability
0/ 5
  • Overall Experience: 2 Years  
  • Data Science: 2 Years - Intermediate
  • Python: 2 Years - Intermediate
  • Google Machine Learning: 2 Years - Intermediate
  • Natural Language Processing: 2 Years - Intermediate
  • C++: 2 Years - Intermediate

Sitaram S. 

Data science consultant

Commitment
0/5
Competency
0/5
Reliability
0/5

Time zones ready to work

  • Eastern Daylight Time
  • Central Daylight Time
  • Mountain Daylight Time
  • Eastern European Time
  • Eastern EST
  • Greenwich Mean Time
  • Further EET

Willing to travel to client location: Yes  

About Me 

Bringing cross domain experience ranging from IoT architecture development to social networking sentiment analysis by working in various projects - Sitaram is able to

Bringing cross domain experience ranging from IoT architecture development to social networking sentiment analysis by working in various projects - Sitaram is able to provide complete end to end solutions from hardware acceleration in machine learning to predictive analytics application development. With a natural affinity for technology, friendly demeanor and responsible conduct, he maintains a steadily growing repertoire of skills and knowledge, ready for the next challenge.

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Portfolios

Real time vehicle data collection and anomaly detection

Role:

I collected sensor data from vehicles and detected anomalies in vehicles in real time. This data was stored in mongodb data base. Vehicle route optimization was also developed in addition for a logistics firm

I collected sensor data from vehicles and detected anomalies in vehicles in real time. This data was stored in mongodb data base. Vehicle route optimization was also developed in addition for a logistics firm

Skills: MongoDB Node.js JavaScript Python Raspberry Pi TensorFlow

Tools: Atom PyCharm

Twitter Sentiment analysis on ‘Landtagswahl-Bayern 2018

Role:

Determine from twitter users the positive and negative sentiment of each party in state elections Streamline datausing pythonand tweeterAPI’sfiltered location wise Performvariousdata cleaningactivitiesandsortdatabasedon keywords Ready to use word dictionary with sentiment values utilized for se

Determine from twitter users the positive and negative sentiment of each party in state elections Streamline datausing pythonand tweeterAPI’sfiltered location wise Performvariousdata cleaningactivitiesandsortdatabasedon keywords Ready to use word dictionary with sentiment values utilized for sentiment values Final sentiments are party wise evaluated Allthe results are displayed with interactivewordclouds which identifies the maximum used words along with positive and negative words   Python, Tweepy (Twitter APIs), Natural Language Processing Toolkit

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Skills: Python Natural Language Processing

Tools: Atom

Implementation of Convolution Neural Network on FPGA

Role:

As a part of Master Thesis convolution neural network algorithm is implemented on FPGA hardware for better hardware acceleration Image classification is performed on hardware with lower latency Convolution neural network is developed in Tensorflow (a computational tool in python) and then impleme

As a part of Master Thesis convolution neural network algorithm is implemented on FPGA hardware for better hardware acceleration Image classification is performed on hardware with lower latency Convolution neural network is developed in Tensorflow (a computational tool in python) and then implemented on hardware using Vivado HLS(High level synthesis) using a C++ code An efficient image classification was developed with lesser process time on hardware

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Skills: MATLAB Python

Tools: Tensorflow

Employment

Junior Data Science Consultant

11/2017 - 04/2019

Cubalytics

Skills: Apache Spark Python TensorFlow JavaScript

Your Role and Responsibilities:

I worked on various cross domain technologies ranging from real time sensor data anomaly detection to twitter sentiment analysis. 

I worked on various cross domain technologies ranging from real time sensor data anomaly detection to twitter sentiment analysis. 


Education

Master of Science in Electronics

2016 - 2018

University of Siegen Siegen ,Germany


Bachelor of Technology

2009 - 2013

Jawaharlal Nehru technological university Hyderabd


Skills

Data Science Python Google Machine Learning Natural Language Processing C++

Tools

Atom Github

Achievements

05/2013 Bachelor of Technology (First-Class Honors) in Electronics

Certification

Udemy Course Certificate

Preferred Languages

English - Conversational Hindi - Conversational