Hire the Best SciPy Specialists

A proficient data scientist in Python with exceptional writing, graphic design and documentation skills. My Github project repositories, achievements and certifications, published writing samples and graphic design samples are all available in my portfolio. While my primary professional focus is data analysis and data science programming, I am also open to writing and design assignments.

A highly detail-oriented and analytical professional with expertise in both data entry and data analysis. Skilled in accurately managing, organizing, and processing large datasets using tools like Microsoft Excel, Google Sheets, and database management systems. Proficient in data cleaning, statistical analysis, and visualization using Python, SQL, and Microsoft suite to extract meaningful insights and support data-driven decision-making. Committed to maintaining data integrity, confidentiality, and meeting tight deadlines while delivering actionable insights through efficient workflows. A combination of precision, technical skills, and analytical thinking makes me an asset in any data-focused role.

Hello, my name is Gunjan. I have a handful of professional experiences and research fellowships and have been practicing programming and Data Science for over 4 years. My main interests lie in Machine Learning, Deep Learning, Computer Vision, and NLP/NLU, Data Analytics; I consider these to be my forte and have also published papers related to AI and Data Science in top journals on the same. My expertise is in the following domains: 1) Data Science 2) Artificial Intelligence 3) Machine Learning 4) Deep Learning 5) Natural Language Processing 6) Computer Vision 7) Data Analytics 8) Statistics 9) Data Structures & Algorithms

I work at the intersection of Computational Mathematics and Artificial Intelligence to answer the one question that actually matters: "How do we turn this data into a scalable, high-impact solution that delivers results?" From architecting end-to-end data pipelines in Microsoft Fabric to deploying CNN-based deep learning models, I build systems for real-world problems where off-the-shelf solutions fail. The tools change with every project. The mathematical rigor doesn't. Technical Stack & Expertise • 𝗠𝗟 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀 & 𝗗𝗲𝗲𝗽 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴: Python (NumPy, Pandas, Scikit-learn), CNN (Convolutional Neural Networks), Supervised & Unsupervised Learning • 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲: ML Model Training & Tracking (MLflow), Data Science Experiments, Semantic Link, and Spark-based Data Exploration. • 𝗖𝗹𝗼𝘂𝗱 & 𝗜𝗻𝗳𝗿𝗮: Microsoft Azure (VMs, Storage, Active Directory, Bastion), Huawei Datacom (HCIA), Networking (CCNA/HCNA) • 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Random Forest, Linear & Logistic Regression, Bernoulli Distribution, Matrix Multiplication • 𝗔𝗜 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 & 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀: n8n, Workflow Automation, AI Agents, Chatbot Development Project Highlights: Real-World AI Impact → Deep Learning & Computer Vision (CNN) • 𝗗𝗶𝗴𝗶𝘁 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺: Developed a high-accuracy numerical classification model utilizing CNN architectures to recognize and process handwritten digits. • 𝗜𝗺𝗮𝗴𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 & 𝗖𝗹𝗮𝘀𝘀𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Engineered a deep learning system using CNN to identify and categorize complex visual data patterns across diverse image datasets. → Predictive Analytics & Research • 𝗠𝗲𝗱𝗶𝗰𝗮𝗹 𝗗𝗶𝘀𝗲𝗮𝘀𝗲 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 (𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻): Developed a Deep Learning system using CNN architectures to detect and classify skin diseases from medical imagery with high precision. Performed extensive image preprocessing and data augmentation to improve model generalization across various clinical skin conditions. • 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗣𝗿𝗲𝗱𝗶𝗰𝘁𝗼𝗿: Created a predictive modeling system to forecast academic outcomes and future student performance. → Mathematical Modeling & Security • 𝗖𝗿𝗲𝗱𝗶𝘁 𝗖𝗮𝗿𝗱 𝗙𝗿𝗮𝘂𝗱 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻: Applied Bernoulli probability concepts and statistical reasoning to identify financial anomalies. • 𝗖𝗿𝘆𝗽𝘁𝗼𝗴𝗿𝗮𝗽𝗵𝘆 (𝗛𝗶𝗹𝗹 𝗖𝗶𝗽𝗵𝗲𝗿): Designed an encryption system applying matrix multiplication and linear algebra to secure text communications. • 𝗥𝗲𝗰𝗼𝗺𝗺𝗲𝗻𝗱𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺: Developed an intelligent engine to provide personalized user suggestions based on behavioral data. → AI Automation & Agentic Systems • 𝗔𝗜 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗺𝗲𝗻𝘁 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻: Built an n8n-powered workflow to automate candidate screening and recruitment processes, reducing manual review time and streamlining the hiring pipeline. • 𝗔𝗜 𝗦𝘁𝘂𝗱𝗲𝗻𝘁 𝗛𝗲𝗹𝗽 𝗗𝗲𝘀𝗸: Developed an AI-powered support system to automatically handle and resolve common student queries, improving response times and reducing staff workload. • 𝗔𝗜 𝗖𝗵𝗮𝘁𝗯𝗼𝘁: Designed and deployed a conversational AI chatbot to handle user interactions and automate query resolution across use cases. Why Hire Me? • 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗘𝘅𝗽𝗲𝗿𝘁: I hold the AI-300 (Machine Learning Operations Engineer Associate), DP-700 (Fabric Data Engineer Associate), and AZ-104 (Azure Administrator) certifications. • 𝗟𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽: Currently serving as a Microsoft Learn Student Ambassador, leading technical seminars and workshops. • 𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗗𝗲𝗽𝘁𝗵: My BS in Computational Mathematics With Artificial Intelligence allows me to optimize models from the ground up, ensuring they are mathematically defensible. I work with businesses and startups that need clean data, smart models, and systems that actually deliver. Send me a message 😊, and let's discuss how we can turn your data challenges into your biggest competitive advantage.

Are you looking for more than just a data entry specialist? I am a PhD-qualified (Monash University, 2025) Physicist with a background in high-stakes research, synchrotron beamline operations, and advanced medical imaging. I specialise in bridging the gap between raw, complex datasets and the clear technical communication required for industry success. What I bring to your project: Expert Data Analysis: Advanced proficiency in Python (Pandas, NumPy, SciPy) and statistical modelling. I don't just run scripts; I understand the underlying physics and logic of your data. Imaging & Signal Processing: Extensive experience in C++/Python image processing, specifically for medical and X-ray applications. Scientific Communication: As a published researcher in Q1 journals (Optics Express, Physics in Medicine & Biology), I can draft whitepapers, technical documentation, and AI training datasets that are accurate and professional. Problem Solving: From developing remote-friendly tutorials to optimising synchrotron experiments, I thrive on finding efficient solutions to "impossible" technical hurdles. Services Offered: ✅ Custom Python Data Pipelines & Automation ✅ Scientific & Technical Writing / Peer-Review Prep ✅ Statistical Modeling & Quantitative Analysis ✅ Medical Imaging Data Processing Let’s collaborate to make your data work harder for you. Click the "Invite" button, and let's discuss how my research background can solve your current challenge.

With 11 years experience in data science. My experience as Data Scientist made me familiar with gathering, cleaning, and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic, and other analytical techniques. Profile Nvivo, CrowdTangle, Python, Machine Learning (supervised and unsupervised learning), NLP, R, SQL, Matplotlib, SQL Server, Power BI, Microsoft Excel, Power Pivot, MATLAB, MySQL, MongoDB, APIs, NumPy, Sci-kit learn, Statistics, Mathematics, Hadoop ecosystem and Spark development, linear - logistic regression, Pendas, seaborn, statsmodels (acf, pacf plots), imblearn, ipywidgets, scipy, plotly HTML, CSS, JavaScript, Java, Node.js, Express, TypeScript, Selenium, BeautifulSoup,