Information Technology Machine Learning

Joshna Devi Vadapalli

669-***-**** ad5nvc@r.postjobfree.com LinkedIn

EDUCATION

San Jose State University (SJSU), San Jose, CA

Master of Science in Data Analytics GPA - 3.67

Fall 2020 – Fall 2023

Jawaharlal Technological University (JNTU), Kakinada 2007 – 2011 Bachelor of Technology in Information Technology GPA – 3.3 SKILLS

Machine Learning Python (Scikit-Learn, NumPy, Pandas, Keras, Matplotlib), Natural Language Processing (NLP), Llama-2, Computer Vision, Web Scraping, Data Analysis Database MySQL, Microsoft SQL Server, Google Big Query, Amazon Redshift, MongoDB, Google Cloud SQL

Visualization Tableau, D3, Elastic Search, Kibana (ELK), Splunk ETL S3, AWS Glue, Tableau Prep Builder

Web Development CSS, HTML, XML

Others Project execution and delivery, WBS, task estimation, PERT, CRISP-DM, Jira, Click-Up, Git, Streamlit, Athena, GCP

PROJECT EXPERIENCE (SJSU)

Amenity Detection and Inventory Tracking Using YOLOv7

● Developed a state-of-the-art object detection model (YOLOv7) using a custom image dataset of 6k+ images to improve amenity detection in Airbnb properties, enhancing user experience.

● Created a Streamlit web application integrating Google Cloud SQL for user data storage and amenities tracking, managing over 6000 Airbnb listings.

● Utilized Folium to visualize geographical maps and implemented KPIs for inventory management using the Plotly library.

Fake News Detection using NLP Techniques and LLMs

● Fine-tuned the Llama2-7B model using Peft config on a curated dataset of fake news comprising of 1000K rows.

● Utilized LoRa technology to achieve an exceptional 99% accuracy rate using Llama2 model, surpassing other deep learning models such as Bi-LSTM, DNN, and active learning methodologies.

Long-Term Deposit Prediction of Bank Using Data Mining Techniques

● Developed predictive models using Random Forest, SVM, KNN, and Naïve Bayes to forecast customer deposit behaviors, improving call center efficiency.

● Achieved a 5% accuracy boost for Random Forest model by applying Logistic regression and chi-square analysis techniques.

● Utilized Pandas, SMOTE, EDA and Google Colab for efficient predictive modeling. Restaurant Customer Rating Database using Big Query SQL

● Developed a powerful Mexican restaurant recommendation system using Google Big Query SQL, enabling informed customer choices based on cuisine, ratings, ambiance, parking availability, and wait times.

● Evaluated and fine-tuned the database, implementing essential features like views, stored procedures, CTEs, functions, and nested queries to optimize functionality.

● Utilized expertise in Entity-Relationship Modeling, Big Query SQL, Excel, and Lucid chart to successfully design and develop this innovative restaurant selection solution. COVID-19 Job Impacts

● Leveraged AWS services, to manage and analyze US job listing dataset consists of data from 3.3 million hiring organizations during 2020.

● Implemented data driven ETL workflows using Glue, managed data querying and cleansing with Athena, and orchestrated data loading through S3 within AWS data services framework.

● Developed a compelling data-driven narrative using Tableau to uncover critical insights. PROFESSIONAL EXPERIENCE

Client – Cisco HCL Technologies Ltd., India Lead Data Analyst Dec 2016 - Mar 2018

● Enhanced Cisco's PRIME/DNAC applications by developing critical features for router and switch management using Python.

● Crafted visualizations in Tableau with large datasets, using advanced table calculations.

● Collaborated closely with the Database Management Team to ensure high-quality, secure, and accessible data for creating reports.

● Pioneered Python-based automation of the SNMP tool, reducing manual effort. Client – Bank of America Infosys Limited., India Data Analyst Aug 2015 – Nov 2016

● Developed spend and budget analysis apps using Python and SQL.

● Converted business needs into design docs, streamlining project clarity and reducing revisions.

● Conducted data cleaning and preprocessing using Python scripts for improved data accuracy and visualized spending trends over time with LOD in Tableau.

● Collaborated with cross-functional teams for effective project delivery and provided mentorship. Client – Darden Restaurants Infosys Limited., India Data Engineer Aug 2014 – Jul 2015

● Enhanced Oracle WebCenter integration, improving data interaction efficiency by 60% through Oracle ADF, SQL, and Python; streamlined workflows, reducing manual processes by 20%.

● Implemented ADF Security for SSO and developed data presentation templates; utilized Apache Kafka for secure, efficient data streaming; provided training for project members in Oracle ADF and related tools.

Client – Royal Bank of Scotland Infosys Limited., India systems engineer Feb 2012 – Jul 2014

● Conducted detailed change request analysis, informing project impact.

● Led application design efforts, streamlining development with JSTL, JSF, and rigorous unit testing.

● Produced essential documentation (UTP, UTR, release docs), fostering team cohesion and improving project transparency.

Python Developer Inspire Kids, Santa Clara, CA May 2018 - Mar 2020

● Volunteered as a Python and Scratch programmer at an afterschool program, teaching students coding fundamentals and inspiring interest in technology.

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