Summary
Overview
Work History
Education
Skills
Certification
Certifications
Timeline
Generic

DHANVIKAS THOTA

Glen Allen,VA

Summary

To seek and maintain full-time position that offers professional challenges utilizing interpersonal skills, proficient communication skills, excellent time management and problem-solving skills.

Overview

4
4
years of professional experience
1
1
Certification

Work History

Software Engineering Intern

Eficens Systems LLC
06.2022 - Current
  • Extensively built knowledge on python and SQL due project.
  • Understood requirements and summarized objective to be-To evaluate total amount spent in dollars per period per individual and predict the value of gift cards that shall be issued based on the worth of the above evaluation.
  • Created a JAR file for the submission of the spark streaming ingestion or batch-streaming, creating a backup directory further for the output of this ingestion path details and input location for the aggregation jobs, then copied the data.
  • Deployed the code Backout plan: Creating a branch for the previously succeeded version in the production, building the JAR file from deployment for production and copying the data from backup from input streaming data in the input location giving it to the streaming path and running the old ingestion streaming.
  • Worked in PySpark establishing a spark session that enables the Hive support where tables from hive can be read and can run SQL queries using spark.sql(). We found that PySpark saves a lot of time.
  • Exposed to analytical tool Power BI for forecasting the outcomes or predicting the worth of a gift card that is to be issued.
  • Collaborated with various data scientists and architects in preparing data for predictive modeling.

Master's Project

Auburn University At Montgomery
01.2022 - 05.2022
  • Executed the project on "Analyzing the Market for Used Cars."
  • Collected the information on used cars and made a dataset of about 5000 vehicles.
  • Used both Python and EXCEL simultaneously to read the data from the used Cars Dataset, performed the Data partition and Data Pruning to handle the missing values and Null values in Jupyter Notebook.
  • Used SQL queries to store and retrieve the data from SQL database.
  • Worked in Jupyter Notebook, wrote a code in python 3.0 by importing the packages Numpy and Pandas, depicted the Heat Maps along with Scatter Plots for better data visualization.
  • While in EXCEL, we did the Data Partitioning to split it into Training Data and Test Data to sample out a little data for better accuracy.
  • Transformed the data and derived the Scatter Plot by using the default function in EXCEL.
  • Prepared a report on how each factor like year, price, mileage and title_status is dependent on each other and get affected because of each other.

Master's Project

Auburn University At Montgomery
09.2021 - 12.2021
  • Done the project on "Regression Analysis to determine the relationship between the purchasing price of a house and the factors affecting it."
  • Recorded EXCEL spreadsheet on the current housing prices with respect to their Area, no. of bedrooms, Age from the year built, amenities provided and the location.
  • Analyzed variables having a significant effect on a specific variable and the factors that can be ignored in the decision-making to determine the changes in the value of dependent variable with respect to change in the values of independent variables.
  • Performed the regression analysis, whose coefficient gave information about the correlation between the dependent variable and each independent variable.
  • The positive correlation is observed when the value of dependent variable increases alongside the value of independent variable negative correlation is observed to be it's vice-versa.
  • Depicted the Scatter plots basically that gave us the relationship between two numerical variables and determines how much one variable is affected by another.
  • Hence, submitted a detailed report on the factors affecting the purchasing price of a house.

Post-graduation Project

Vellore Institute Of Technology
01.2021 - 06.2021
  • Worked and Implemented the project on "COVID-19 Detection from X-RAY Images,"
  • Analyzed and understood the necessity of Screening of large numbers of individuals to be the need of the hour to curb the spread of disease in the community, we created a 'Diagnosis recommender system' that can assist the doctor to examine the lung images of the patients and reduce the diagnostic burden on the doctor.
  • Implemented the project in Jupyter Notebook by writing the code in Python using Numpy and Pandas.
  • Used the Deep Learning techniques specifically Convolutional Neural Networks (CNN) that have been proven successful in medical imaging classification.
  • Depicted the observations using the VGG16 based architectures to get the potential reports for diagnosis of COVID-19 disease.
  • For better visualizations, included the Heat Maps for the COVID analysis to be positive or negative in the XRAY images of patients.

Under-graduation Project

Vellore Institute Of Technology
07.2020 - 12.2020
  • Worked on "Property Cost Approach Using Machine Learning Algorithms."
  • Studied and understood the House prices keep changing every year and due to the need for a system to predict house prices in the future, we suggested our model of House price prediction helping other in determine the selling price of a house.
  • Based on the reports, I analyzed these three factors that influence the price of a house which include physical conditions, amenities, and location.
  • Imported NumPy and Pandas into Jupyter Notebook and loaded the Dataset while Pre-processing it.
  • Depicted the Correlation matrix and Scatter Plots using Python.
  • Performed Univariate and Bivariate Analysis along with Linear Support Vector Regression Model and a sample Decision Tree Model.

Internship Engineer

Teknitisoft Pvt. Ltd.
01.2020 - 06.2020


  • Worked in the Software Engineering Team on the project "Cyber-Bullying Detection Based on Semantics."
  • For this emerging social issue, we have used Machine learning techniques that automatically detects bullying messages in social media possible and help to construct a healthy and safe social media environment.
  • A Semantic-Enhanced Marginalized Denoising Auto-Encoder (smSDA) is developed via semantic extension of the popular deep learning model stacked de-noising auto encoder.
  • Our proposed method brings out the hidden feature structure of bullying info and learn a robust and discriminative representation of text through a website which was created using JAVA, JAVASCRIPT and HTML.
  • Reported back to instructor to receive day-to-day tasks and responsibilities.
  • Communicated effectively with faculty and staff and accepted critiques and suggestions for areas of improvement.
  • Sorted, organized, and maintained files.
  • Interacted with customers by phone, email, or in-person to provide information.

Education

Master of Science - Management Information Systems

Auburn University-Montgomery
Montgomery, AL
08.2022

Master of Science - Information Technology

Vellore Institute of Technology
Vellore, Tamil Nadu, India
06.2021

Skills

  • C language
  • Python
  • SQL
  • JAVASCRIPT
  • HTML & CSS
  • Power BI
  • Operating Systems : Mac OS, Windows, LINUX
  • Tools : Anaconda, Jupyter Notebook, PyCharm SAP Fiori, SAP Predictive Analytics
  • Others : Microsoft Office, Microsoft Azure

Certification

Microsoft Azure – Certification in “Azure Data Engineer Associate” by Microsoft. SAP –

Certifications

  • Microsoft Azure – Certification in “Azure Data Engineer Associate” by Microsoft.
  • SAP – Certification in “SAP ERP solutions” by SAP from our institution Auburn University.
  • SSSIT – Certification in “C with Data Structures”, from the institution SSSIT with an “A” Grade.
  • COURSERA – Certification in “Neural Networks and Deep Learning”, from Coursera with a “96.40%”
  • COURSERA – Certification in “Network Protocols and Architecture”, from Coursera with a “100%”
  • COURSERA – Certification in “Requirements Gathering for Secure Software Development”, from Coursera with a “100%”

Timeline

Software Engineering Intern

Eficens Systems LLC
06.2022 - Current

Master's Project

Auburn University At Montgomery
01.2022 - 05.2022

Master's Project

Auburn University At Montgomery
09.2021 - 12.2021

Post-graduation Project

Vellore Institute Of Technology
01.2021 - 06.2021

Under-graduation Project

Vellore Institute Of Technology
07.2020 - 12.2020

Internship Engineer

Teknitisoft Pvt. Ltd.
01.2020 - 06.2020

Master of Science - Management Information Systems

Auburn University-Montgomery

Master of Science - Information Technology

Vellore Institute of Technology
DHANVIKAS THOTA