About me

Hi there! I am current graduate computer science student aspiring to be a Software Engineer. I’m currently pursuing my master’s degree in Computer Science at UNC Charlotte. I have internship experience at Siemens Healthineers for 7 months. Prior to my masters, I have worked for 3 and half years at TATA Consultancy Services in Hyderabad, India.

Experience

Software Development Engineering Intern
Siemens Healthineers
May 2021 - November 2021

• Developed an application using python which would display Dicom format medical images, improved current image viewer speed by leveraging memory mapping and designed viewer which would consume space in memory 10 times lesser than existing application.

Graduate Research Assistant
UNC Charlotte
Feb 2021 - June 2021

• Designed and implemented Natural language processing models which would detect and extract causal statements from S&P financial company reports. • Worked with cross functional teams to understand causal relation complexities. Achieved model accuracy of 78%.

Graduate Teaching Assistant
UNC Charlotte
Sep 2020 - Present

• Participated in improving course material with professor and provided suggestions to conduct exams and assignments for graduate-level course – Database Systems.
• Taught and assisted graduate students during recitation and help them learn Sql, Procedural Language for SQL from scratch.
• Graded papers during assignments, mid-terms and finals

Systems Engineer
TATA Consultancy Services
Sep 2020 - Present

• Worked as Data Engineer for banking client CitiGroup.
• Helped develop ETL graphs in AbInitio which would automate the process of extracting data from Teradata database, cleanse it in Unix environment, apply necessary logics on data in AbInitio and load it back into the database. Generate necessary reports using Tableau.
• Automated workflow using shell scripting programming language in UNIX environment.
• Worked on three projects during my tenure out of which two as a team member and one as lead of a project.

Publications, Certifications and Projects

Publication

Published a research paper titled “ASIC Implementation of Three Stage Data Path Logic Structure ” in International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) with an impact factor of 5.442.

Certifications

1. Core JAVA - HackerRank - Credentials
2. Machine Learning - Stanford University - Credentials
3. Neural Networks and Deep Learning - deeplearning.ai - Credentials

Projects

1. Better Business Bureau Ratings validation
• Collaborated with Better Business Bureau Charlotte in trying to identify if their ratings are capturing customer satisfaction or dissatisaction.
• Performed Descriptive analysis to discover key features in the Dataset.
• Performed sentiment analysis on the complaints to understand the level of dissatisfaction of the customer.
• Formulated satisfaction index and validated it with BBB ratings to identify key differences and flaws in the rating system of BBB.

2. Movie Recommender System using Machine Learning
• Worked on “cold start” problem where a recommender system starts without any user data and improves dynamically based on new user inputs.
• Considered Wikipedia as metadata source and cluster them to obtain initial clusters using k-means.
• This cluster along with other available data such as movie ratings(IMDB) is clustered again to form a content-based recommendation systems.
• Code can be found here.

3. Real time credit card fraud detection
• Implemented Big Data project using Apache Spark.
• Built a model which will predict if unusual spending is detected in credit card based on previous spending habits.
• Achieved exactly one semantic using Spark Streaming custom offset management.
• Utilized spark ML API’s like String Indexer, Vector Slicer, Standard Scaler and Vector Assembler.
• Machine Learning model is created using the Random Forest Algorithm. Data balancing is done using K-means Algorithm.
• Integration of Spark Streaming is done with Kafka and Cassandra.
• Airflow Automation framework is used to automate Spark Jobs on Spark Standalone Cluster.

4. AWS DeepRacer
Worked on “AWS DeepRacer" project currently under Professor Min Shin where our objective is to train the model of a self-driving car in the AWS 3D simulator, Experiment with multiple sensor inputs, the latest reinforcement learning algorithms, neural network configurations and simulate them to real domain transfer methods.

5. ShopAnything
This is a e commerce website built using Java Spring framework, where users can purchase items which can be added to cart and checked out. Admin will have secure portal to add the items into the warehouse. Used Spring MVC, Spring Data, Hibernate, JPA and Spring Security. Project related code can be found here.

### Skill-Set

Programming Languages: Java, Python(familiar), SQL, MATLAB(familiar), SAS(familiar)
Frameworks: Apache Spark, Apache Kafka, Apache Hive, Spring Boot
Big Data Platforms Exposure: Hadoop, Spark
Cloud Environment: AWS
RDBMS Languages: SQL, PLSQL
Databases: MySQL, Teradata, Oracle10g, H2, Apache Cassandra
ETL Tools: AbInitio, Informatica
Reporting Tools: Tableau, SAP Business Objects
Tools: Maven, tomcat, GIT

Education

Master of Science : UNC Charlotte
Computer Science
Jan 2020-Dec 2021
Bachelor of Technology : CVR College of Engineering
Electronics and Communication Engineering
Jun 2012-May 2016

Recommendations

Awards and Recognition

• Received Service and commitment award from TCS.
• Secured first prize in technical paper presentation on the topic “NFC” in state level technical symposium Srujana 2K15 held at JNT University, Hyderabad.
• Secured second prize in seminar on the topic “good governance” an event conducted on the occasion of Atal Bihari Vajpayee birthday by government of India.
• Secured several sports awards for cricket, football and basketball during school level.

My Motto:“Your work is going to fill a large part of your life, and the only way to be truly satisfied is to do what you believe is great work. And the only way to do great work is to love what you do.”