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Hi, I'm Nimeesha Vakacharla

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Turning Data into Impactful Solutions

Python TensorFlow AWS RAG ReactJS SQL PyTorch Tableau
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About Me

Profile

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

Blogs

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

Projects

Major Projects

AI Mock Interview Platform

Developed an AI-powered mock interview platform with automated data pipelines using Apache Airflow and Google Cloud Composer, storing data in GCP BigQuery. Fine-tuned Llama 4 for question evaluation, integrated OpenAI Whisper for speech-to-text, and designed a dynamic ReactJS frontend with Tailwind CSS for enhanced user engagement.

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Natural Language Data Retrieval System

Built a Text-to-SQL application using Python, FastAPI, and PostgreSQL, with fine-tuned Open AI GPT models for accurate query generation. Integrated Pinecone and RAG for complex query parsing, and engineered a responsive ReactJS frontend with LangGraph and LangSmith for reliable workflow orchestration.

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DeepFake Video Detection

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

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DIS-EASIFY: Multiple Disease Prediction Platform

Developed a multi-disease prediction platform using machine learning models (Naïve Bayes, Decision Tree, Random Forest, SVM, CNN) for early detection of various diseases, hosted on Microsoft Azure with a Django-based frontend, achieving up to 97.6% accuracy.

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Cricket Match Outcome Prediction Using Machine Learning

Created a machine learning system to predict ODI cricket match outcomes using Random Forest, with a Flask-powered web application for real-time data entry and predictions, providing valuable insights for analysts and stakeholders.

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Minor Projects

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

Re-Vive

Role: Gen AI Engineer
June 2025 - Present

  • Streamlined end-to-end Gen AI-powered dashboard solution for enterprise process analytics, implementing comprehensive OpenAI integration to deliver intelligent storytelling capabilities reducing $8M operational costs
  • Deciphered AI-driven insight summarization engine processing 13K+ service requests, optimizing over user experience to transform complex banking workflows into actionable narratives for 150+ analysts
  • Accelerated production-ready UI/dashboard with dual-mode Gen AI capabilities, driving measurable impact with 20+ intelligent instruction types and real-time AI-fueled process observability across US/Canada regions
iQuardra

Role: Data Scientist
May 2024 - July 2024

  • Optimized end-to-end enterprise book recommendation system serving 3M+ users, exploring 5.6GB dataset using Hadoop/PySpark, delivering 78% customer engagement improvement through bias for action
  • Invented 6 MapReduce automation solutions analyzing user behavior patterns, obsessing over system performance to reduce processing time by 65% while maintaining uncompromising standards for enterprise deployment
  • Amplified production-ready Flask application with Plotly business intelligence visualizations, delivering measurable business impact through 42% accuracy improvements and 60% faster response times using frugal algorithms

Leadership and Achievements

🏆 Delivered top 8% in NVIDIA Hackathon, outperforming 200+ teams through strategic innovative technical innovation

👥 Coordinated 500+ student operations as Department Representative, streamlining cross-departmental processes

🎵 Mastered 6+ years of Veena and Carnatic music performance, demonstrating disciplined learning and precision in cultural events

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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