Pawan Saxena - Academic Project

Q: Where is Pawan based?

Pawan is based in Nuremberg, Germany .

Q: What languages does Pawan speak?

Pawan speaks the following languages: English (Native), German (Elementary) .

Q: How many years of experience does Pawan have?

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.

Q: What companies has Pawan worked for in recent years?

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 .

Q: Which industries is Pawan most experienced in?

Pawan is most experienced in industries like Healthcare , Insurance , and Pharmaceutical . Pawan also has some experience in Retail , Information Technology (IT) , and Education .

Q: Which business areas is Pawan most experienced in?

Pawan is most experienced in business areas like Research and Development (R&D) , Information Technology (IT) , and Business Intelligence . Pawan also has some experience in Marketing and Product Development .

Q: Which industries has Pawan worked in recently?

Pawan has recently worked in industries like Healthcare , Insurance , and Pharmaceutical .

Q: Which business areas has Pawan worked in recently?

Pawan has recently worked in business areas like Research and Development (R&D) , Information Technology (IT) , and Business Intelligence .

Q: What is Pawan's education?

Pawan holds a Master in Artificial Intelligence & Robotics from University of Technology (UTN) and a Bachelor in Computer Science & Engineering from Bennett University .

Recommended expert

Nuremberg, Germany

Experience

Apr 2025 - Aug 2025

5 months

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

Apr 2025 - Aug 2025

5 months

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

Apr 2025 - Aug 2025

5 months

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

Oct 2024 - Feb 2025

5 months

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

Sep 2021 - Nov 2024

3 years 3 months

Hyderabad, India

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

Jan 2020 - Sep 2021

1 year 9 months

Noida, India

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

Aug 2019 - Dec 2019

5 months

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

Jan 2019 - Jun 2019

6 months

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

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Healthcare (3.5 years), Insurance (3 years), Pharmaceutical (3 years), Retail (3 years), Information Technology (2.5 years), and Education (1.5 years).

Healthcare

Insurance

Pharmaceutical

Retail

Information Technology

Education

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Research and Development (5.5 years), Information Technology (4.5 years), Business Intelligence (3.5 years), Marketing (3 years), and Product Development (2 years).

Research and Development

Information Technology

Business Intelligence

Marketing

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

English

Native

German

Elementary

Education

Oct 2024 - Present

University of Technology (UTN)

Master of Science, Artificial Intelligence & Robotics · Artificial Intelligence & Robotics · Nuremberg, Germany

Aug 2016 - Jun 2020

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

AWS Certified Cloud Practitioner

AWS

Google Data Analytics Specialization

Google

Profile

Created

October 2025

Last Update

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Pawan based?

Pawan is based in Nuremberg, Germany.

What languages does Pawan speak?

Pawan speaks the following languages: English (Native), German (Elementary).

How many years of experience does Pawan have?

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.

What roles would Pawan be best suited for?

Based on recent experience, Pawan would be well-suited for roles such as: Academic Project, Senior Data Analyst, Technical Content Engineer.

What companies has Pawan worked for in recent years?

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.

Which industries is Pawan most experienced in?

Pawan is most experienced in industries like Healthcare, Insurance, and Pharmaceutical. Pawan also has some experience in Retail, Information Technology (IT), and Education.

Which business areas is Pawan most experienced in?

Pawan is most experienced in business areas like Research and Development (R&D), Information Technology (IT), and Business Intelligence. Pawan also has some experience in Marketing and Product Development.

Which industries has Pawan worked in recently?

Pawan has recently worked in industries like Healthcare, Insurance, and Pharmaceutical.

Which business areas has Pawan worked in recently?

Pawan has recently worked in business areas like Research and Development (R&D), Information Technology (IT), and Business Intelligence.

What is Pawan's education?

Pawan holds a Master in Artificial Intelligence & Robotics from University of Technology (UTN) and a Bachelor in Computer Science & Engineering from Bennett University.

Does Pawan have any certificates?

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.

What is the availability of Pawan?

Pawan is immediately available for suitable projects.

What is the rate of Pawan?

Pawan's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.