Software Engineer Data Scientist

LAVANYA KANDHIBEDALA

Software Developer Data Scientist

Ph : +1-713-***-**** Email : *********@*****.*** LinkedIn : https://www.linkedin.com/in/lavanya-kandhibedala/ SKILLS

• Languages: Python, JavaScript, C

• Cloud: AWS, Azure, Databricks, Airflow

• Services: Pandas, REST, SQL

• Tools: Node JS, GIT, Power BI, Linux

EXPERIENCE

Python Software Engineer April 2023 - Present

R V Soft Inc - Houston Python, SQL, Azure, Airflow, Gemini

• Developed Python scripts using Pandas and NumPy to process 10,000+ records from SQL Server and Excel, reducing processing time by 30%.

• Orchestrated Azure ML pipelines and Apache Airflow DAGs, stored processed data in a data warehousing system, reducing retrieval time by 25%.

• Created custom chatbots with Gemini/Bard, increasing user engagement by 15% and lowering customer service inquiries by 20%.

Software Engineer Data Scientist January 2021 – February 2023 Sagarsoft - Hyderabad Python, Power BI, Databricks, Azure, SQL

• NEXTracker: Designed and developed python scripts for auto generation of file hierarchy and uploading reports in box cloud.

• Developed a python script for automating the data cleaning and data manipulation, using Databricks which resulted in bringing in new projects of revenue $0.3M.

• CSV Project: Developed multiple reports and dashboard using data from the client server, cleaning, and transforming data. Built a cloud-based web app using Power BI for the front end and Azure SQL and Databricks for migrating and storing data.

• Support Ticket classifier: Designed and developed a web app to classify IT support tickets to their respective departments using different algorithms like logistic regression, KNN, SVM, Navies Bayesian and Decision Tree. Software Engineer March 2019 – January 2020

Eezee Solutions Inc - Remote Python, JavaScript, AWS, Node JS

• Developed a web app using JavaScript and Node JS for patient records in Hospitals.

• Implemented a Dynamic Rule Builder to create or edit rules on analyzing patient records.

• Deployed the application on AWS such that patient reports are stored in the S3 bucket and made it open source to all hospitals.

Software Development Engineer July 2016 – July 2017 Kony Temenos - Hyderabad JavaScript, Node JS, AWS

• Designed, developed, and deployed an app for airports for navigation, flight status updates, boarding and security wait time use cases with advanced feature like augmented reality and AI chatbot built in, scaling an annual revenue of $0.7M over 6 airports.

• Developed mock apps with frontend and middle ware capabilities for client's existing AWS, Salesforce, and REST service backend apps with 85% approval and buy-in rate.

• Analyzed and examined more than 10 Kony features through exploratory and regressive testing for critical bugs, with around 90% accuracy. Associate Engineer December 2015 – June 2016

Kony Temenos - Hyderabad Java, JavaScript, Node JS, HTML

• Designed and developed an automated testing framework in JAVA script for cross channel and cross platform application testing, which was approved by the Kony, India's C-suite for wide scale adoption and implementation. EDUACATION

Master of Science – Computer Science

December 2018

Stony Brook University (SUNY)

Bachelor of Technology – Computer

Science

April 2016

GITAM University

PROJECTS

NYC Taxi Fare Prediction

Python, Jupyter notebook

• Devised a NYC Taxi Fare Prediction Model

using Random Forest, Gradient Boosting

Models with an accuracy of 96.68%.

Performed exploratory analysis of data,

selected features, cleansed the data and trained

a dataset of 55 million rows.

Spam Filter for Emails

Python

• Developed a Spam Filter to classify emails as

spam/ham (2005 TREC Public Spam Corpus

Dataset) by implementing Multinomial Naive

Bayes Algorithm. Improved accuracy from

88.3% to 91.8% by applying Laplace

Smoothing technique to smoothen the data.

PAC Man Game

Python, ML

• Implemented generic graph search algorithms

such as Depth First Search, Breadth First

Search, Uniform Cost Search, A* algorithm

with heuristics, Mini- Max, Alpha-beta

pruning, Inference to help the Pac-Man find

routes to clear the food, to find shortest path in a maze and to avoid adversaries or catch them.

Asynchronous Secure File System

C, Kernel Programming

• Developed a Linux based system to support a

secure kernel-level trash directory using

producer consumer pattern. Implemented a

new syscalls and methods in Linux VFS Layer

to asynchronously compare, encrypt, and

delete files.

Deduplication Syscall

C, Kernel Programming

• Developed a Loadable Linux kernel module

that supports a new System call which takes

two files and De-duplicates the files (creates

hard link) if they are owned by the same user

and have identical data.

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