Praveen Sana

AI Automation Engineer

https://www.opentalent.in/praveen-sana

AI Automation Engineer with less than a year in Python & Deep Learning

Key Strengths

Strong foundation in Python, Deep Learning, and SQL, essential for AI Automation Engineer roles.
Demonstrated ability to build end-to-end AI applications, including real-time systems (Vision AI) and RAG-based solutions.
Experience with Generative AI (LangChain, Google Gemini API) and workflow automation (n8n) directly aligns with the target role.
Practical project experience in computer vision (YOLOv8, ResNet50V2, OpenCV) and NLP/RAG (ChromaDB, LLM) showcases diverse AI application skills.
Ability to translate complex AI concepts into functional tools for business problems (e.g., AI Risk Analyst, AI Text-to-Web Generator).

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' exam, indicating a very strong grasp of the subject matter and related skills.

Data ScienceArtificial IntelligenceMachine LearningDeep LearningGenerative AINLPPython

Strengths

Exceptional understanding of core AI/Data Science concepts.
Strong problem-solving abilities in AI contexts.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio demonstrates a strong interest in applying AI to diverse real-world problems, from advertising and financial analysis to web development and environmental health. This breadth of application, coupled with a focus on automation, aligns well with an 'AI Automation Engineer' role that often requires adaptability and a problem-solving mindset across various domains. The personal nature of the projects indicates self-motivation and a proactive learning approach, which are positive indicators for cultural fit in an innovative environment.

Soft Skills & Operational Fit

The psychometric test score of 236/500 suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. While the projects demonstrate initiative and problem-solving, these areas would require further assessment during interviews to ensure operational fit within a team environment.

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Projects

Dynamic Digital Advertising Platform (Vision AI)

January 1, 2026 – Present

1. Tools: Python, OpenCV, YOLOv8, TensorFlow/Keras, ResNet50V2, TFLite. 2. Designed a real-time AI system to dynamically switch digital ads based on audience gender composition in public spaces. 3. Integrated YOLOv8 for person detection and fine-tuned ResNet50V2 (converted to TFLite) for lightweight gender classification. 4. Applied ROI-based filtering via OpenCV to ensure ad targeting only when viewers are actively present. 5. Replaced static time-slot ads with dynamic, context-aware placements, improving engagement and relevance.

AI Text-to-Web (Frontend) Generator (Langchain)

January 1, 2026 – Present

1. Designed and built an AI Automation Tool that generates responsive HTML/CSS/JS websites from text descriptions, accelerating frontend prototyping. 2. Integrated the Google Gemini API via LangChain to orchestrate code generation logic. 3. Features include a multi-tab code viewer, live website previewing, and an automated ZIP file packager for easy deployment.

SEBI Annual Report: AI Risk Analyst (RAG)

January 1, 2026 – Present

1. Developed a Retrieval-Augmented Generation (RAG) application to automate the analysis of unstructured SEBI regulatory reports and financial statements. 2. Orchestrated a pipeline using LangChain and LLM to extract critical insights regarding compliance failures, penalties, and market risks. 3. Implemented ChromaDB for vector storage and semantic search, enabling the system to answer complex queries based on specific document context. 4. Built an interactive Streamlit dashboard that acts as a virtual "Risk Analyst," reducing manual document review time and improving data retrieval accuracy.

Soil Pollution-Associated Diseases Prediction

January 1, 2026 – Present

1. Developed a machine learning model to predict disease risk associated with soil pollution patterns using historical soil quality data and environmental health statistics. 2. Collected soil sample data, analyzed pollutant concentration levels, and correlated them with regional disease incidence using Python and Pandas. 3. Engineered relevant features and trained algorithms like logistic regression and decision trees to classify disease risk groups.

Certifications

Advanced Data Science with Python

NASSCOM

June 1, 2026 – Present

Python Completion Certification

Innomatics Research Labs

June 1, 2026 – Present

Machine Learning Certification

Innomatics Research Labs

June 1, 2026 – Present

GEN AI & Agentic AI Internship

Innomatics Research Labs

June 1, 2026 – Present

Key Strengths

Strong foundation in Python, Deep Learning, and SQL, essential for AI Automation Engineer roles.
Demonstrated ability to build end-to-end AI applications, including real-time systems (Vision AI) and RAG-based solutions.
Experience with Generative AI (LangChain, Google Gemini API) and workflow automation (n8n) directly aligns with the target role.
Practical project experience in computer vision (YOLOv8, ResNet50V2, OpenCV) and NLP/RAG (ChromaDB, LLM) showcases diverse AI application skills.
Ability to translate complex AI concepts into functional tools for business problems (e.g., AI Risk Analyst, AI Text-to-Web Generator).

Skill Analysis

Data Scientist — Artificial Intelligence

★★★★★

94%

The candidate scored 94% on the 'Data Scientist — Artificial Intelligence' exam, indicating a very strong grasp of the subject matter and related skills.

Data ScienceArtificial IntelligenceMachine LearningDeep LearningGenerative AINLPPython

Strengths

Exceptional understanding of core AI/Data Science concepts.
Strong problem-solving abilities in AI contexts.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Praveen Sana

Key Strengths

Skill Analysis

Data Scientist — Artificial Intelligence

Cultural & Operational Fit

About

Top Skills

Skills

Education

Projects

Certifications

Key Strengths

Skill Analysis

Data Scientist — Artificial Intelligence

Cultural & Operational Fit