Ciencia de datos Jobs

I want to build a small AI-driven agent that concentrates purely on weather predictions, with rainfall and precipitation as its only inputs, so I can decide exactly when to harvest. Here is what I need the system to do for me: • Pull historical and real-time rainfall data from reliable public APIs (NOAA, Meteostat, or a source you recommend). • Train a lightweight model in Python—TensorFlow, PyTorch, or an equally proven library—that forecasts field-level precipitation a few days ahead. • Convert the raw forecast into a simple recommendation: safe-to-harvest, harvest-soon, or delay. • Present that recommendation in a clear format. A small web dashboard is ideal, but a command-line script with a clean JSON output is acceptable if it speeds things u...

I need an experienced AI/ML engineer to design, train, and validate a predictive model in Python. All of my data lives in CSV / Excel files, so the first step will be cleaning, transforming, and loading those structured datasets into an efficient pipeline. From there you’ll choose the most appropriate algorithms, iterate on feature engineering, and fine-tune the model until we reach an agreed-upon accuracy threshold. You should be fully comfortable with scikit-learn and pandas for data handling, and able to switch to TensorFlow or PyTorch if deep learning ends up adding value. Packaging the final model behind a lightweight API or another deployable artifact—so it can slot into our existing workflow—will be part of the scope. Deliverables: • Reproducible Python code...

HealthGuard AI – Developed an AI-powered remote patient monitoring platform with patient/doctor portals, real-time health-vitals monitoring, clinical risk scoring, automated alerts, and secure healthcare data management. AI Interview Simulator – Built an AI-based interview practice platform that simulates real interview sessions, evaluates candidate responses, and provides intelligent feedback to help users improve their interview performance. EcoByte – Smart Food Waste Monitor – Developed a smart food-waste monitoring solution that helps track food waste, analyze waste patterns, and provide insights for reducing unnecessary food wastage. Retail Sales Analytics – Created an analytics solution for analyzing retail sales data, identifying sales trends, evaluatin...

I have a dataset that needs a focused trend analysis and I’d like your help with the data cincse side of things. What matters most to me is uncovering clear patterns, explaining what drives them, and presenting the results in a way that makes next-step decisions obvious. Here’s what I have in mind: • Work through the raw data, clean it where necessary, and structure it for analysis. • Carry out the core trend analysis, highlighting any seasonality, upward or downward movements, and outliers that deserve attention. • Summarise the findings visually—charts, dashboards, or other intuitive visuals—so stakeholders can grasp the story at a glance. • Deliver a concise report (code notebook or slide deck) that walks through your methodology and ke...

Create a premium logo and visual identity that blends timeless luxury with a modern nightlife aesthetic. The identity should feel inspired by exclusive cocktail lounges and speakeasies while remaining clean, sophisticated, and scalable across digital products. Creative Direction The brand should combine an elegant flat identity for professional and business applications with a vibrant neon-inspired treatment for consumer-facing experiences. Both versions should share the same core logo structure, ensuring instant recognition across every touchpoint. Brand Personality Premium Luxurious Modern Exclusive Intelligent Sophisticated Memorable Design Inspiration Art Deco architecture The Great Gatsby Speakeasy cocktail bars Luxury hotel signage Vintage neon signs High-end cocktail lounges Visu...

Looking for an solid researcher, scientist, AI/ML, algorithm engineer, or mathematically inclined computer scientist. This person should be comfortable looking at a large computational problem and asking where the expensive computation is truly needed, which candidates can be evaluated cheaply, and how the system can safely refine only the most important regions or cases. I will share more details with suitable candidate. Thanks,

I need a data-savvy partner who can take my raw dataset and run a thorough descriptive analysis, then translate the numbers into clear stories about the trends and patterns hiding inside. I’m interested in measures such as frequencies, central tendency, dispersion, and time-based or categorical comparisons that highlight shifts over periods, segments, or any other meaningful dimension you discover. Here is what I’d like to see when the work is finished: • A cleaned, well-documented dataset (CSV or XLSX) • A concise report (PDF or Google Doc) that walks me through your methodology, key findings, and visual evidence—think charts, heat maps, or dashboards created in Python (pandas, matplotlib, seaborn), R (tidyverse), Excel, or Tableau, whichever you’re mo...

I have a collection of patient medical records already cleaned and stored as CSV files, and I’m ready to turn them into an accurate diabetes-risk prediction tool. My preference is to work with a Random Forest model because of its balance between interpretability and performance on tabular health data. Your task is to take these CSV datasets, craft the full machine-learning pipeline, and return a model that can reliably identify individuals at elevated risk for diabetes. Along the way, please document the preprocessing steps, feature engineering choices, and the metrics you use so I can reproduce and fine-tune the work later if needed. Deliverables I expect: • Complete, well-commented Python code (preferably in a Jupyter notebook) that ingests the CSV files, performs prep...

Project Title Senior Privacy Research Engineer — NLP Anonymisation & De-Identification (R&D Contract) Category / Skills tags Python, Natural Language Processing, Machine Learning, Data Privacy, Algorithm Development, Artificial Intelligence, Research, Named Entity Recognition (NER) Project Type Full-time or heavy part-time contractor engagement. Open to individuals, teams, or agencies — please make clear in your bid who would actually be doing the work and how continuity is maintained if more than one person is involved. Bidders should propose their own rate and estimated timeline based on the scope below. Description We're building a privacy-preserving enterprise AI governance platform (UK patent-pending) and are hiring for the research-critical slice of th...

I am preparing my MTech thesis in Electrical Engineering, specifically within the Power Systems domain, and I am taking an AI-based approach to the research for Solar panel MPPT controller. I already have the broad problem statement but now need structured, hands-on assistance to move from concept to a defendable thesis. Your role will cover the critical stages: refining the research objectives, selecting or developing suitable AI models for power-system data, running the necessary simulations, and finally shaping the results into a clear, publication-ready document that meets university guidelines. Preferred tools are Matlab/Simulink or Python with libraries such as TensorFlow, PyTorch and Pandas, though I am open to alternatives if they better suit the chosen model or dataset. Deliver...

Looking for an solid researcher, scientist, AI/ML, algorithm engineer, or mathematically inclined computer scientist. This person should be comfortable looking at a large computational problem and asking where the expensive computation is truly needed, which candidates can be evaluated cheaply, and how the system can safely refine only the most important regions or cases. I will share more details with suitable candidate. Thanks,

$10-$30 max for this project. Foundation already built. So no bid if you do not accept . Title: Python Developer Needed to Build a Universal P&L & Equity Reconciliation System for a Polymarket Copy Trading Bot Description: I have a Python-based Polymarket copy trading bot that copies trades from a target wallet. The bot works, but I need a developer to improve its equity and P&L calculations so it performs accurately regardless of which wallet is being copied. Project Requirements: Develop a wallet-agnostic reconciliation system that can accurately calculate and track: Total wallet equity Realized profit and loss Unrealized profit and loss Open positions Position sizing Cost basis Trade history The system should correctly handle: Partial fills Multiple buys and sells Pos...

I’m looking for a complete, end-to-end data science workflow that starts with pulling structured data from APIs and ends with a predictive model I can trust and iterate on. You’ll write clean Python code (Pandas, NumPy, Scikit-learn) that ingests the data, handles missing or inconsistent values, performs robust preprocessing, and walks through exploratory data analysis with clear, insightful visualizations using Matplotlib or Seaborn. Once the data foundation is solid, build and evaluate several machine-learning models focused on prediction, document why each algorithm was chosen, and compare their performance with the usual metrics. I value transparency, so every notebook or script must be well commented, and a short, readable methodology report should explain your decisions,...

We’re Hiring: AI Trainer (Freelance | Session-Based)** Are you passionate about **Artificial Intelligence** and experienced in delivering impactful training sessions? We are looking for a skilled **AI Trainer** to collaborate with our institute and conduct AI training programs, workshops, and learning sessions. This is a **freelance, session-based opportunity** where the trainer will work with us on a contract basis and conduct sessions as per the scheduled requirements. Location: Delhi NCR Engagement Type: Freelance | Contract-Based | Session-Based Responsibilities: Conduct AI training sessions, workshops, and practical learning programs for students and professionals. Deliver hands-on training on Generative AI, AI tools, automation tools, prompt engineering, and emergi...

Master content creatior myst know every platform, and be able to automate one piece of content sent universally to multiple platforns in the correct format to engage. Content must trigger mass comments, likes shares, dislikes and split for max follower debate. Need a!leader that can do all platforns, xan spark a debate, maje content in cap cut, and format in minutes. Can flick from site to site, platform to pkatform, audience to audience, multi topic, create all popular content, formats, write articles using knock knocks ai content and storytelling media centre. Must have basic skills in n8n aigentic data scraping at scale and with a good technical, creative thinking, quick witted, design and ability to read an audience, look at other trends in the local audiences. Grab that news or co...

Je souhaite concrétiser un projet résolument axé Technologies, plus précisément sur l’Intelligence artificielle. L’idée est d’exploiter tout le potentiel de l’IA pour créer une solution utile, fiable et évolutive : de la définition du cas d’usage jusqu’au déploiement d’un prototype fonctionnel. Votre mission : – M’aider à préciser la problématique métier qui tirera vraiment parti de l’IA. – Concevoir l’architecture (data, modèles, pipeline MLOps) adaptée à cette problématique. – Développer puis tester un premier MVP, avec documentation claire pour une prise en main rapide. Je ...

I’m sitting on a very large, fully structured dataset and need an expert who can turn that raw volume into reliable, actionable insight. The core of the engagement is data analysis—everything from designing an efficient pipeline that ingests, cleans, and joins the tables at scale, to writing performant queries and statistical routines that surface trends I can use in decision-making. The stack is open: Apache Spark, Hadoop, distributed SQL engines, or another platform you’re confident will keep runtimes reasonable and costs under control. What matters most is that the solution handles billions of rows without sacrificing accuracy or maintainability and that every step you take is reproducible. Acceptance for the work will be based on: • A documented workflow (cod...

I’m assembling a short-term roster of interviewers who can rigorously assess candidates for senior-level Big Data roles, with a sharp focus on Apache Spark. Your job is to join my panel, run live technical interviews (remote video), probe deep into real-world Spark architecture, coding, optimisation and troubleshooting, then deliver a concise written evaluation of each candidate’s strengths, gaps and hire/no-hire recommendation. I will supply the role description and résumé ahead of time; you bring the questions, white-boarding scenarios or live-coding prompts you rely on in your own Spark projects. Familiarity with the wider ecosystem—Scala or PySpark APIs, performance tuning, cluster resource management, integration with Kafka or Hadoop—is welcomed,...

I need an end-to-end AI automation solution built around unsupervised learning models. My main goal is to ingest raw data, discover hidden structures or groupings automatically, and trigger follow-up actions without manual oversight. Here’s the flow I’m envisioning: you help me prepare and normalise the data, experiment with clustering or dimensionality-reduction techniques, and wrap the best-performing model in a lightweight service so it can run on a schedule or via API call. While AI automation is the priority, a clean dashboard or minimal UI that lets me upload new data and view key metrics would be a welcome bonus. Deliverables • Reproducible code (Python preferred) for data prep, model training, and inference • Documentation explaining the algorithm choi...

I am a final-year Industrial Engineering student at Stellenbosch University and need help creating a professional LinkedIn profile from scratch. My goal is to position myself for opportunities in Artificial Intelligence, Machine Learning, Data Science, Data Analytics, Business Intelligence and technology-focused consulting. I am particularly interested in roles and research that combine engineering, data and AI to solve practical organisational problems. I also plan to continue with postgraduate study after completing my degree, most likely a two-year research master’s and potentially a three-year PhD in AI, machine learning, data science or a related interdisciplinary field. The profile should therefore appeal not only to graduate employers, but also to academic supervisors, researc...

I’m putting together a tightly-focused prospect list of senior decision-makers in India who influence or own the purchase of GPU servers and related infrastructure. The people I need are Heads of AI & ML, Chief Data Scientists, CEOs, CTOs, Founders with strong AI, ML or Computer Vision credentials, as well as Engineering or Product leaders with the same expertise. The companies they work for must be based in India and operate in one of these spaces: Technology, Healthcare, Finance, Manufacturing & Robotics, Media & Entertainment, or IoT / Energy AI. Quality is far more important than raw volume, so I am capping the assignment at 500-750 verified contacts. Each record has to be complete and ready for direct outreach by my sales team. I will be checking validity with a 80...

Need help in completing a simple assignment on XGBoost algorithm related to recommendation system. I have the code base, need small tweaks and run it.

Need to complete a Assignment on Recommendation ML algorithms, I have the code base, just need some tweaks and generate the results