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Software Engineer Data

Kansas City, Missouri, United States
April 24, 2019

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816-***-**** **** Wyandotte Street, KCMO, 64112


Master of Science in Computer Science CGPA: 3.5/4.00

University of Missouri-Kansas City May 2019

Bachelor of Science in Electronics and Communication Engineering percentage: 73%

Jawaharlal Nehru Technological University, Kakinada, AP, India May 2016


Programming C, C++, Java, Ruby, Python, R, Scala, SQL, MATLAB

Machine Learning tools Regression, Classification algorithms, Deep learning with TensorFlow,

Neural Networks, CNN, NLP (NLTK, TextBlob), Fuzzy logic, Data mining,

PyTorch, Keras, Numpy, Scipy, Pandas, spaCy, PyText, ScikitLearn, object

detection Algorithms (SSD, RCNN), SAS, SPSS, Eclipse

Databases MYSQL, Oracle, Cassandra, MongoDB, MS Access, Redshift, PostgreSQL

Tools and IDE’s R-studio, Pycharm, Jupyter, Spyder, Android studio, GitHub, ZenHub

Bigdata Technologies and tools Hadoop, Hue, Hive, pig, impala, HDFS, spark, MLib, Flume, Solr, Sqoop,

Nifi, Kafka, YARN, Oozie, Storm, Apache Airflow, Apache HBase

Cloud technologies Microsoft Azure, AWS, GCP, Docker, Kubernetes


Information Technology assistant at University of Missouri-Kansas City Aug 2018 – present

Guided individuals with visual Basic programming instruction techniques

Provide technical support to students and Faculty

Software engineer at CarrotMonk, Hyderabad, India Jan 2016 – July 2017

Involved in the project to develop a database in HDFS by using Sqoop and applying ETL (Extract Transform Load) technique, helpful for the web commerce service.

Collaborated with team of five to design and develop ML models to analyze the customer data from web-commerce food delivery

Develop user interface to trade enquiries and Review software and perform system risk analysis.

Python, Scikit-Learn, SQL, MySQL, Sqoop, HDFS, Hue


Sprint tweet analysis on real time twitter data Collected the sprint real time tweets and perform the sentiment analysis on top of collected data. Apply the machine learning algorithms on the sentiment analysis to leverage the marketing of the company. Scala, Python libraries, SQL, Solr, Hive, MLib, Jupyter

Canopy impact on Autism Using the cloud technologies develop the Real time prediction model by using machine learning model to predict the autism rate in California schools and user interface to directly synchronized with the cloud. Amazon AWS, python, R, R-Shiny, Ubuntu

Boston house price prediction

Predicted the price of the houses in Boston by developing the machine learning model and training the model with the given

comprehensive data set. Using Tableau got the visualizations of predictions.

Python ScikitLearn libraries, pandas, Tableau, Spyder

WEBFARMS – Intelligent Agriculture

Developed a web platform helping in crops and Nutrient suggestion from the integrated database with crops and predicted environment conditions, also provided the Online marketing for the crops from the farmers by analyze the quality of the crops through the API’s HTML, CSS, WampServer, PHP, SQL, weather and food API’s, GitHub, JIRA

Data analysis and Exploration Analyzed the Features in twitter data, NYC311 data and observe the patterns in data R-dplyr, SQL, Tableau, Scala, RStudio

Filter Designing designed the filters to help in removing the noise especially ‘Speckle noise’ in medical images to better image enhancement. MATLAB, FPGA, DSP, DIP


Awarded for the successful completion of the use-case design of Mobile mode changing according to location of the user, in

UMKC Hackathon Fall2017

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