Sairaj Jadhav
Data Analyst |Data Science|AI ML Engineer
About
AI/ML Engineer and Data Science professional with hands-on experience in Python, Machine Learning, Deep Learning, NLP, LLMs, Computer Vision, and AWS. Experienced in building end-to-end ML pipelines, RAG-based applications, LLM fine-tuning, and deploying scalable AI solutions. Proficient in Python, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, SQL, Docker, and REST APIs. Passionate about solving real-world business problems using data-driven and AI-powered solutions, with a strong focus on continuous learning, innovation, and delivering production-ready applications.
Skills & Expertise (39)
Work Experience
AIML Engineer (Internship)
Psitech Consultancy Services Pvt. Ltd.
Apr 2026 - Jul 2026
Designed, trained, and evaluated computer vision and deep learning models on satellite imagery using Python, TensorFlow, PyTorch, and OpenCV for land-cover classification and object detection across multi-spectral image bands. Built end-to-end ML pipelines covering satellite image preprocessing, feature engineering, model training, and model evaluation; pipeline was modular and reusable across multiple satellite datasets. Deployed and monitored production computer vision models via REST APIs and Docker containers, collaborating with cross-functional engineering teams to ensure scalability, reliability, and model monitoring. Conducted exploratory data analysis (EDA), statistical analysis, and data cleaning on a satellite imagery dataset of 50,000+ images to identify class imbalances, noise patterns, and inform feature engineering decisions. Applied remote sensing techniques alongside transformer-based models, integrating RAG pipelines with a FAISS vector database for domain-specific geospatial search and retrieval applications.
Data Science Intern
Sumago Infotech Pvt. Ltd.
Dec 2024 - Feb 2025
Built and tested end-to-end machine learning models using Python, Pandas, NumPy, and Scikit-learn for customer churn prediction, delivering a working model from raw data to evaluation within the internship duration. Performed data cleaning, feature engineering, and exploratory data analysis (EDA) on real-world datasets of 10,000+ records, resolving missing values, outliers, and class imbalance issues prior to model training. Applied machine learning and deep learning techniques to develop proof-of-concept solutions, gaining hands-on exposure to the complete data science and model evaluation workflow. Documented findings and presented data-driven insights to stakeholders via structured reports and visualisations, enabling the team to make informed decisions without manual data querying.
Education
Bachelor of Electronics Nad Telecommunication Engineering
2022 - 2026 · India
Certifications
GEN AI Powered Data Analytics Job Simulation
TATA Forage · 2025
Power BI Workshop
OfficeMaster · 2025
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Citizen
Relocation
Open to Relocation
Skills (39)
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