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Hi, I'm Nimeesha Vakacharla

 


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About Me

Nimeesha Vakacharla

I am a Master’s student in Data Analytics at San Jose State University, deeply passionate about harnessing the power of artificial intelligence and machine learning to address complex real-world challenges. With a robust background in data engineering and predictive modeling, I specialize in crafting innovative solutions that transform raw data into actionable business insights.

As Nelson Mandela once said, 'It always seems impossible until it’s done'—a belief that inspires me to approach every task with determination and creativity.

A collaborative and detail-oriented individual, I excel at balancing structure with innovation, always seeking opportunities to learn and contribute. With a mindset rooted in curiosity and perseverance, I am committed to achieving excellence in everything I pursue.

Resume

My Skills

Programming Languages

Python

C

R

JavaScript

HTML

CSS

ReactJS

NoSQL

SQL

Data Engineering & Cloud

Apache Spark

Hive

Hadoop

AWS

GCP

Azure

Libraries & Visualization

NumPy

Pandas

Matplotlib

SciPy

Seaborn

Plotly

Power BI

Tableau

MS Excel

Machine Learning

Scikit-learn

XGBoost

LightGBM

OpenCV

Deep Learning & Generative AI

TensorFlow

PyTorch

CNN

LSTM

RAG

GraphRAG

LangChain

LLM, Transformers

My Projects

DeepFake Video Detection

Developed a deepfake detection system using advanced machine learning techniques to identify manipulated videos, enhancing media authenticity.

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Exploring Autoencoders with FashionMNIST

Implemented autoencoders to analyze and reconstruct the FashionMNIST dataset, exploring dimensionality reduction and image denoising techniques.

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AI Travel Assistant

Created an itinerary planner integrating Flight, Weather, and Hotel Agents using APIs and AI for personalized travel recommendations.

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Agentic Content Generation System

Built a system for automated content generation using AI agents, streamlining content creation processes with natural language processing.

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GAN Image Style Transfer

Utilized Generative Adversarial Networks (GANs) to perform image style transfer, enabling creative transformations of visual content.

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Text-Image Similarity Analysis Using CLIP

Developed a model to analyze text-image similarities using the CLIP framework, enhancing multimodal learning applications.

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Square Payment System with Agentic RAG

Enhanced a payment system with Retrieval-Augmented Generation (RAG) and AI agents for improved transaction processing and customer support.

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SJSU Faculty Leave Management System

Designed a leave management system for SJSU faculty using AI tools to automate and optimize administrative tasks.

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Experience

iQuardra
Data Engineer
  • Designed and implemented a seamless orchestrated pipeline for an AI-powered mock interviewer application, utilizing Selenium for web scraping, Google Cloud Platform (GCP) for data warehousing, and Google Composer for ETL workflows to automate data extraction, cleaning, and transformation processes.
  • Enhanced data quality by developing automatic cleaning methods, achieving a 30% reduction in inconsistencies and errors, which significantly improved platform performance, user experience, and ensured efficient, trustworthy data processing.
  • Collaborated closely with cross-functional teams to define data requirements, optimize pipeline efficiency, and integrate cleaned datasets into the AI-driven platform, fostering a cohesive development environment.

Remote, May 2024 - Jul 2024

Education

San Jose State University

San Jose, California, USA

Degree: Master of Science in Data Analytics
Jan 2024 - Dec 2025

Visvesvaraya National Institute of Technology

Nagpur, Maharashtra, India

Degree: Bachelor of Technology in Civil Engineering
Jul 2019 - May 2023

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