Pawan Saxena-Academic Project
Check rate
Experience
CAPTCHA Recognition using CRNN
- Built a CRNN model with VGG16 and BiLSTM backbone for text-based CAPTCHA recognition
- Achieved 9.37% character error rate and 68.36% sequence accuracy on validation data
- Expanded data augmentation pipeline with distortions, noise injection, and clutter to improve robustness
- Conducted detailed error analysis on confusable characters (O, Q, D) and proposed error-specific augmentation
- Tech Stack: Python, TensorFlow/Keras, OpenCV, NumPy, Matplotlib
LoRA Style Fine-Tuning with Stable Diffusion
- Implemented LoRA fine-tuning on Stable Diffusion 1.5 to generate Studio Ghibli–inspired imagery
- Optimized hyperparameters (learning rate, epochs, LoRA rank/alpha) for stable convergence and effective style transfer
- Designed an evaluation framework with negative prompting and systematic seed testing to ensure consistency
- Managed training checkpoints and prompt engineering for reproducible high-quality outputs
- Tech Stack: Python, PyTorch, Hugging Face Diffusers, Stable Diffusion 1.5
Translation Bias Analysis with LLMs
- Investigated age and gender bias in German–English translation across machine translation tools and LLMs (GPT-4, DeepSeek)
- Implemented Logistic Regression, SVM, and multilingual BERT classifiers for demographic prediction
- Designed and tested baseline, preserved, and adaptive prompting strategies for bias mitigation
- Contributed training and inference code for LR and SVM, visualization of gender/age bias, and report methodology
- Tech Stack: Python, scikit-learn, Hugging Face Transformers, Logistic Regression, SVM, BERT
Academic Project
Stock Market Prediction System
- Engineered an ML pipeline integrating Yahoo Finance data with real-time news sentiment analysis
- Implemented feature engineering combining technical indicators with FinBERT sentiment scores
- Achieved 0.94 ROC AUC using an optimized ensemble of Naive Bayes, Logistic Regression, and SVM
- Tech Stack: Python, scikit-learn, pandas, NumPy, matplotlib, seaborn
Senior Data Analyst
Tiger Analytics
- Designed and implemented customer segmentation models for retail clients, reducing the target customer base by 70% while maintaining 95% revenue coverage
- Migrated legacy SAS workflows to MySQL, improving processing speed by 40% and reducing operational costs for an insurance client
- Developed insurance sales prediction models using H2O AutoML, achieving over 90% accuracy
- Built scalable PySpark pipelines on Databricks for processing over 50 million records, reducing processing time from 8 hours to 45 minutes
- Delivered comprehensive patient journey analysis for a Fortune 500 healthcare client, creating automated Power BI dashboards tracking more than 15 KPIs
- Implemented real-time data pipelines using Snowflake and Dataiku
- Created interactive dashboards serving over 200 stakeholders
- Developed drug-switching analysis tools for pharmaceutical research
Technical Content Engineer
GeeksforGeeks
- Authored and reviewed more than 110 technical articles on state-of-the-art artificial intelligence topics
- Developed production-ready code examples for complex algorithms including BERT, GPT, YOLO, and ResNet
- Created educational content on computer vision, natural language processing, and deep learning fundamentals
Human Activity Recognition for Patient Monitoring
- Developed a real-time action detection system for hospital patient safety monitoring
- Implemented OpenPose for pose estimation and DeepSORT for multi-object tracking
- Achieved 95% accuracy in fall detection with latency under 200 ms
- Tech Stack: Python, OpenCV, TensorFlow, Keras
Intelligent Attendance System with Face Recognition
- Built a frame-wise face recognition system, achieving approximately 97% accuracy
- Extended solution for UAV surveillance applications
- Publication: "UAV Surveillance for Violence Detection and Individual Identification"
- Tech Stack: Python, OpenCV, TensorFlow, Keras, computer vision libraries
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Healthcare, Insurance, Pharmaceutical, Retail, Information Technology, and Education.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Research and Development, Information Technology, Business Intelligence, Marketing, and Product Development.
Summary
Results-driven Artificial Intelligence and Machine Learning Engineer with 3+ years of professional experience in machine learning, deep learning, and advanced analytics. Currently pursuing an MSc in Artificial Intelligence & Robotics at the University of Technology Nuremberg. Proven track record of delivering scalable ML solutions for Fortune 500 clients, with expertise in end-to-end data science pipelines, customer segmentation, and predictive modeling.
Skills
Programming Languages
- Python (Expert)
- Sql (Advanced)
- R (Intermediate)
Machine Learning & Ai
- Classical Ml: Scikit-Learn, Xgboost, Lightgbm
- Deep Learning: Tensorflow, Pytorch, Keras, Hugging Face
- Computer Vision: Opencv, Yolo, Resnet, R-Cnn
- Nlp/Llms: Bert, Gpt, Transformers, Finbert
Data Engineering & Analytics
- Big Data: Pyspark, Databricks, Apache Spark
- Data Warehousing: Snowflake, Mysql, Postgresql
- Visualization: Power Bi, Matplotlib, Seaborn, Plotly
- Mlops: Aws, H2o Automl, Dataiku, Airflow
- Others: Ms-Excel, Ms-Powerpoint
Cloud & Devops
- Azure
- Aws (Certified)
- Docker
- Git
- Linux
- Windows
Languages
Education
University of Technology (UTN)
Master of Science, Artificial Intelligence & Robotics · Artificial Intelligence & Robotics · Nuremberg, Germany
Bennett University
Bachelor of Technology, Computer Science & Engineering · Computer Science & Engineering · Greater Noida, India · 9.28/10 (Equivalent to German Grade: 1.3 - Sehr Gut)
Certifications & licenses
Large Language Models: Foundation Models from the Ground Up
Large Language Models: Application through Production - Databricks
Google Data Analytics Specialization
Statistics
Experience
Global experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Pawan is based in Nuremberg, Germany.
Pawan speaks the following languages: English (Native), German (Elementary).
Pawan has at least 6 years of experience. During this time, Pawan has worked in at least 3 different roles and for 8 different companies. The average length of individual experience is 1 year and 9 months. Note that Pawan may not have shared all experience and actually has more experience.
Based on recent experience, Pawan would be well-suited for roles such as: Academic Project, Senior Data Analyst, Technical Content Engineer.
In recent years, Pawan has worked for CAPTCHA Recognition using CRNN, LoRA Style Fine-Tuning with Stable Diffusion, Translation Bias Analysis with LLMs, Stock Market Prediction System, and Tiger Analytics.
Pawan is most experienced in industries like Healthcare, Insurance, and Pharmaceutical. Pawan also has some experience in Retail, Information Technology, and Education.
Pawan is most experienced in business areas like Research and Development, Information Technology, and Business Intelligence. Pawan also has some experience in Marketing and Product Development.
Pawan has recently worked in industries like Healthcare, Insurance, and Pharmaceutical.
Pawan has recently worked in business areas like Research and Development, Information Technology, and Business Intelligence.
Pawan holds a Master in Artificial Intelligence & Robotics from University of Technology (UTN) and a Bachelor in Computer Science & Engineering from Bennett University.
Pawan has 4 certificates. Among them, these include: Large Language Models: Foundation Models from the Ground Up, Large Language Models: Application through Production - Databricks, and AWS Certified Cloud Practitioner.
The availability of Pawan needs to be confirmed.
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Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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