Hi! I’m Sajid, an AI Engineer, Data Scientist, and Technical Mentor with a strong track record of delivering practical, high-impact solutions using data, machine learning, and modern AI technologies. I help businesses and innovators transform their ideas into intelligent systems and data-driven products that perform reliably at scale. 🌟 What I Do I specialize in building AI-powered solutions and advanced analytics models that solve real business problems, including: Machine Learning Models – Predictive, classification, clustering, regression & recommendation systems. AI & Deep Learning – Neural networks (CNNs, RNNs), computer vision, NLP, transformer models, and automation intelligence. Data Science & Analytics – Exploratory analysis, feature engineering, model evaluation, and actionable insights. Deployment & Scalable Solutions – Building production-ready models, API services, dashboards, and data pipelines. Technical Mentoring & Consulting – Guiding teams, startups, and professionals on AI best practices, workflows, and efficient tooling. 🔍 How I Work I take a results-driven, collaborative approach to every project: ✅ Understand Your Goals I start by working closely with you to understand: Your end objective Key business metrics Technical constraints Success criteria This ensures the solution I deliver aligns with your priorities. ✅ Structured, Evidence-Based Process My methodology includes: Data acquisition & cleaning – Reliable, consistent data driving the analysis. Exploratory Data Analysis – Finding patterns & insights that guide modeling. Model selection & training – Choosing and tuning the most effective algorithms. Validation & optimization – Ensuring robustness and performance. Deployment & automation – Delivering practical solutions that integrate with your workflow. ✅ Transparent Communication From kickoff to delivery: I maintain clear, regular updates Provide visualizations & intuitive outputs Offer documentation and training where necessary ✅ Cutting-Edge Tools & Tech I use industry-standard tools like: Python, R TensorFlow, PyTorch Power BI, Streamlit, Flask SQL, Git, Docker Cloud or local deployment environments This ensures solutions are not only powerful but also maintainable and scalable. 💼 Who I Work With ✔ Startups and scale-ups seeking AI/ML solutions ✔ Companies with data that needs action ✔ Founders building products with intelligence ✔ Teams needing mentoring, training, or code review Whether you need an AI model built from scratch, data insights to inform strategy, or help deploying models into production, I bring clarity, rigor, and results to your project. 🧠 My Mission I believe in data-driven decision-making, intelligent automation, and building systems that help people and businesses succeed. My goal is to deliver robust, scalable solutions with real value and to help my clients stay ahead in a world powered by AI. Let’s work together to build something smart, practical, and impactful. Send me a message and let’s get started!

🚀 Data Analyst & BI Consultant | Power BI | Tableau | Python | ML | Zoho | 100+ Projects Delivered Hi, I’m Siddharth — a freelance data consultant helping businesses turn raw data into clear, actionable insights. I’ve successfully delivered 100+ projects for mid-sized businesses, agencies, and academic teams, focusing on improving decision-making, increasing revenue, and optimizing operations. 💼 What I Can Do for You - ✔ Build interactive dashboards in Power BI, Tableau, Excel ✔ Analyze data to improve profit, retention, and conversions ✔ Design & analyze surveys using SPSS, R, Excel ✔ Develop machine learning models (sales forecasting, risk prediction) ✔ Clean, structure, and transform messy data into usable insights ✔ Automate workflows using Python & Streamlit 📊 Proven Results - ✔ Reduced product returns for an eCommerce apparel brand ✔ Increased lead conversion by 15% for a financial advisory firm ✔ Identified most profitable items for a restaurant chain during COVID ✔ Built inventory optimization model for a cosmetics supply chain ✔ Improved customer retention for a gym chain through survey insights 🛠 Tools & Skills - * Power BI, Tableau, Excel, Google Data Studio * Python (Pandas, Scikit-learn, NLP) * SQL (Intermediate) * SPSS, R, Stata * Streamlit (for dashboards & automation apps) 💡 Why Clients Choose Me - ✔ Clear communication (no technical jargon) ✔ Business-focused insights, not just reports ✔ Clean, professional dashboards ✔ On-time delivery, every time 📩 Let’s Work Together

I'm an experienced QA Tester and developer with a strong background in testing websites, web applications, and mobile apps. While I’m new to Upwork, I’ve helped clients and teams deliver smooth, reliable, and user-friendly software by catching bugs, improving performance, and making sure everything works exactly as it should. I blend a developer’s technical knowledge with a tester’s eye for detail, which helps me quickly spot issues and communicate clearly. What I Can Help With ✅ Website Testing – Check functionality, layout, and responsiveness ✅ Web Application Testing – Test flows, forms, and APIs ✅ Mobile App Testing – iOS & Android real-device testing ✅ Bug Reports – Clear steps with screenshots or video ✅ Test Cases & Checklists – Organized and easy to follow ✅ Basic Automation – Familiar with tools like Selenium and Postman Why Work With Me? 🔹 Real Hands-On Experience – I’ve tested real apps and built them too 🔹 Reliable & Fast – I meet deadlines and communicate clearly 🔹 Detail-Oriented – I don’t just skim—I go deep 🔹 Easy to Work With – Friendly, honest, and always professional I’m here to build great client relationships through excellent work. If you're looking for someone who can test your website, app, or software with care and precision, let’s connect—I’d love to help.

I'm an enthusiastic, self-motivated and hardworking proofreader, editor and research writer. I will provide you following services with my best: Research Writing Dissertations Literature Review Report Writing Synopsis Writing Proofreading Assignment Writing Presentation Slides Data Entry Thesis Writing Plagiarism Removal I have expertise in professional writing. I'm confident I can write above and beyond your expectations. For any service you will get: Quality work with unlimited revisions. 24/7 Availability Proper references in any style using Mendeley or Endnote. Plagiarism free work. Feel free to contact me regarding any query anytime.

I’m a Quantitative Researcher/Developer with 15+ years of experience building research frameworks, trading models, and analytics systems across asset classes — from FX and fixed income to digital assets. I’ve worked with Revolut, Talos, Lloyds, Barclays, and Credit Suisse, delivering production-grade quant research and execution platforms. My expertise covers both modelling and engineering: • Research — ML/AI for price forecasting, order flow, and liquidity modelling • Development — scalable data pipelines, backtesting engines, and real-time strategy APIs • Stack — Python (pandas, numpy, scikit-learn, statsmodels), SQL, Airflow, Docker, GCP/AWS I combine academic rigour with production discipline, translating quantitative insights into automated, deployable systems. Whether you need model design, performance optimisation, or end-to-end research automation, I can help you build data-driven trading solutions that scale.

-- Videos of Power BI and Google Sheets KPI dashboards available in portfolio -- I help organizations turn complex data into clear insights they can actually use to make decisions. Whether you’re working with surveys, interviews, operational data, or large enterprise datasets, I translate raw information into dashboards, models, and reports that tell a clear story and drive action. My work focuses on making data accessible, understandable, and useful for both technical and non-technical audiences. I use IBM SPSS Modeler to build predictive analytics solutions that help organizations uncover patterns in their data and make data-driven decisions. I develop predictive models using machine learning techniques such as decision trees (C5.0 and C&RT) and neural networks to forecast outcomes, identify key drivers, and segment data. My work includes data preparation, feature selection, model training, evaluation, and interpretation of results, turning raw data into actionable insights for business, research, and operational planning. I build automated (using Zapier) interactive KPI dashboards in: - Power BI - Google Sheets - Tableau I can help you: - Understand what’s really happening in your data using quantitative and qualitative analysis - Complete predictive analytics using machine learning algorithms in Apache Spark, R and Python - Design clean, reliable data models that support reporting, forecasting, and growth - Build interactive dashboards that answer business questions, not just show charts - Combine qualitative insights with quantitative metrics for deeper, more human analysis - Simplify complex datasets so stakeholders can make confident decisions faster I’ve supported enterprise-level analytics projects, built data warehouses and reporting layers, and worked with both structured and unstructured data. In my portfolio, you’ll see end-to-end examples that show how I move from raw data to insight, recommendation, and final deliverable. For project and risk management, I can provide Monte Carlo simulation developed in R and integrated into Power BI to support advanced risk management and cost forecasting. The model runs thousands of iterations using probabilistic inputs to estimate the monetary impact of uncertainty across work packages. Results are visualized in interactive dashboards, enabling stakeholders to assess risk exposure and make data-driven decisions. Outputs include P80 cost estimates, helping ensure budgets are aligned with realistic risk-adjusted projections, and improving planning confidence through robust quantitative analysis. If you want data that explains itself—not another confusing report—let’s talk. Book a call and let’s make your data more human. EXPERTISE: PowerBI | DAX | Data Modeling | Dashboard Development | Power Query | NVivo | Quantitative Analysis | IBM SPSS Modeler | Qualitative Analysis | Data Analytics | Data Analysis | Tableau | R | Python | Predictive Analysis | Google Sheets | Zapier | Automation | Machine Learning

I help biotech companies, pharma teams, and research institutions turn complex genomic and multi-omics data into clear, publication-ready insights — on time and with full reproducibility. What I specialize in: - Bulk RNA-seq & single-cell RNA-seq (scRNA-seq) analysis - Spatial transcriptomics (Visium) - DNA methylation, metabolomics & microbiome data - Differential gene expression & splicing analysis - Pathway & gene set enrichment analysis (GSEA) - Network analysis & pseudotime inference - Dimensionality reduction & unsupervised clustering - Multi-omics data integration (single-cell, spatial, immune repertoire, clinical metadata) Tools & Stack: R/Bioconductor and Python — with a strong focus on clean, well-documented, reproducible pipelines and publication-quality figures. How I work: I adapt to data quality issues, complex experimental designs, and tight timelines. Every deliverable includes clear documentation so your team can build on the results. I hold a 100% Job Success Score and Top Rated status on Upwork. Send me a message describing your dataset and your goal — I will tell you honestly whether and how I can help.

✨ Upwork Expert-Vetted & 𝐓𝐨𝐩 𝐫𝐚𝐭𝐞𝐝 𝐩𝐥𝐮𝐬 (Top 1%) ✨ 100 % Job Success in large Projects Senior Data Scientist with a combined 6+ years of experience [𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞, 𝐒𝐨𝐜𝐢𝐚𝐥 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐓𝐨𝐮𝐫𝐢𝐬𝐦, 𝐅𝐢𝐧𝐭𝐞𝐜𝐡 Industries] I help businesses maximize their growth potential through data-driven solutions and assist Tech teams to build robust ML solutions from real-world Sensors and Time Series data. I specialize in Feature Engineering, Event Detection, and Predictive Modeling, with a strong focus on model reliability and uncertainty estimation. I also deliver clear Technical Reports, Presentations and decision focused documentation that bridge research and product. EXPERTISE - Research | Custom Technical Reports (Text + Figures + Interpretation) | Code/Scientific Documentation. - Data Analytics: Data Cleaning, Exploratory Analysis, and actionable Insight generation. - Designing, Training and Evaluating AI/Machine Learning models. - Collecting, Cleaning and Managing data and databases. - Developing the data and result into a format easily representable to other employees, investors, and other researchers. SKILLSET ✅ Time Series Analysis (Sensors/ Signals, Accelerometer ...) ✅ Biological Signals: Heart and Breathing, Temperature, Muscle activity, Brain activity, Blood Pressure, Oxygen levels and Body Composition. - Trend/ Behavioral Analysis and Profiling. - IoT/Sensor Data Diagnostics - Anomaly Detection - Exploratory Data Analysis - Scoping sessions and Data‑Quality assessments ✅ Python (Pandas–Scikit-learn–Numpy–Scipy, Seaborn–Keras–Pytorch–TensorFlow). ✅ R (ggplot2–dplyr–tidyr –caret–Shiny–Tidyquant). ✅ Machine Learning Algorithms (PCA, K-means, Random Forest, XGboost, Logistic Regression, SVM, etc..). ✅ Deep Learning (Neural Networks, CNN, RNN, ...) also the tools: - SQL/No-SQL: MongoDB, MySQL. - Tableau | Power BI. - MATLAB | R-studio. - Git - C/C++ I'm adaptable, quick, and reliable, with a sharp eye for details and excellent communication skills (6 languages). I'm eager to help you solve any data science challenges you might have. ------------------------------------------------------------------------------------------------------------------------- Testimonials from some of my clients: ✨ "Working with Faten was effortless. She is dependable, while also incredibly collaborative. Her dedication to work and ability to deliver consistently on-time and beyond expectations render her invaluable for any project. I highly recommend Faten to anyone seeking a skilled, reliable and communicative Machine Learning Engineer and or Data Scientist for their next initiative." ✨"Faten is very professional - prompt feedback, clear communication, and easy to work with. Would recommend working with Faten on ANY project!" ✨"It was an absolute pleasure to work with Faten. She is super clear on communication and has a creative curiosity about all projects. She is a brilliant soundboard and fits into the projects, regardless of where she is asked to assist. She always adds value. I will recommend her without reservation"

I am a professional mathematical statistician offering experimental design, model building, sampling, data cleaning and analysis, data visualization, and technical reporting services. Some additional services I can provide are: - Spreadsheet (Microsoft Excel(R)) Tool Building - RShiny (Web-Based) Technical Tool Building - Technical Report Writing - Database Design - Statistical Programming in R - Optimization Algorithm Building - General Mathematical and Statistical Problem Solving

🎯 Data Science & AI Services - Time Series Forecasting • Machine Learning • Deep Learning Seller: Ruben Ibarra ( PhD in Statistics - Mathematician - Econometrician, ML/DL) ________________________________________ 1) SERVICE OVERVIEW I help businesses and researchers turn raw data into reliable predictions and actionable insights. I specialize in hybrid time‑series forecasting, Machine Learning, and Deep Learning, delivering reproducible code, clear documentation, and business‑ready artifacts. INDUSTRIES: Finance, energy, retail, manufacturing, climate, health/sensor analytics. TOOLING: Python (NumPy, Pandas, scikit‑learn, XGBoost/LightGBM/CatBoost), Optuna, SHAP, Statsmodels (ARIMA/SARIMAX/GARCH), PyTorch/TensorFlow, Signal Processing (Welch/STFT/DWT), RAPIDS (GPU), SQL. ________________________________________ 2) CORE OFFERS (Pick one or combine) A. TIME-SERIES FORECASTING & CAUSALITY • Forecasting: ARIMA/SARIMAX, VAR/TVP‑VAR, GARCH, Prophet, LSTM/GRU, hybrid ensembles • Feature engineering: calendar/events, weather, promotions, wavelets (DWT), STFT/Welch PSD • Multi‑horizon & hierarchical forecasts; nowcasting; anomaly detection • Causal/exposure indices: PCA/LDA‑based indices, synthetic control (classic & stacked) Deliverables: Clean repo + notebooks, forecast charts, error diagnostics (MAE/MAPE/RMSE), MLOps‑ready pipeline options B. MACHINE LEARNING & DEEP LEARNING • Classification & regression (XGBoost/LightGBM/CatBoost, RF, SVM) • MLP, RNN, CNN, LSTM, GRU, and Temporal Fusion Transformer (TFT) • Predictive Maintenance ( Manual feature engineering or Architectures like PatchTST and MOMENT) • Imbalance handling, cross‑validation, calibration, SHAP interpretability & pruning • Hyperparameter optimization with Optuna Deliverables: Feature store, tuned model, test metrics (AUC/F1/PR), explainability report ________________________________________ 3) PACKAGES (scope guidance — can be tailored) 🚀 STARTER (MVP/Exploratory) • Scope: One dataset, single target; baseline + 1 advanced model • Work: EDA, baseline, tuned model via Optuna (≤ 30 trials), basic report • Data limit: ≤ 200 MB, ≤ 2M rows (tabular) or ≤ 12 series (time‑series) • Deliverables: Notebook + brief PDF, predictions CSV, code repo • Timeline: ~5–7 days ⚖️ ADVANCED (Production‑ready Model) • Scope: Multiple series/segments, feature engineering, ensembling • Work: Robust CV, diagnostics, SHAP report, data leakage checks, error analysis • Add‑ons included: Experiment tracking, reproducible environment (requirements.txt) • Deliverables: Modular repo, metrics dashboard (static), handover call notes • Timeline: ~10–14 days 🧭 END TO END (Pipeline + Handoff) • Scope: Full pipeline with scheduled scoring; optional API/batch • Work: CI-friendly structure, model monitoring hooks, documentation & SOPs • Deliverables: Repo + README, config files, deployment guide; optional API stub • Timeline: ~2–4 weeks Notes: Pricing varies based on data volume, complexity, and compliance/security requirements. I’m happy to provide a fixed-price quote if you require one. 4) WHAT YOU GET (Deliverables) • Clean, versioned Git repository (readable modules + notebooks) • Report (PDF/Markdown): methods, metrics, plots, decisions • Forecasts/Predictions CSV/Parquet; optional dashboards • Reproducibility: lockfiles/requirements, random seeds, data schema • Explainability: SHAP plots, feature importance, ablations ________________________________________ 5) BUYER REQUIREMENTS (intake form) Please provide: - Objective & KPIs (e.g., MAPE ≤ 10%, AUC ≥ 0.85) - Brief business context (drivers, constraints, decisions tied to model) - Data dictionary + sample dataset (schema, nulls, freq, units) - Historic range & granularity; expected forecast horizon - Non‑functional: latency, privacy, on‑prem vs. cloud, preferred stack - Compliance/IP constraints; NDA if required. ________________________________________ 6) FAQ (buyer‑facing) Q. Can you work under NDA and keep IP private? Yes. All code/data remain confidential; IP transfer occurs upon final payment. Q. What accuracy can you guarantee? I don’t guarantee a specific metric before seeing data, but I provide baseline + target KPI ranges after EDA, and iterate to hit agreed thresholds. Q. Do you support long‑term maintenance? Yes—retainers or milestone‑based updates are available. Q. Can you deploy to my stack? I can provide API/batch stubs and DevOps‑ready instructions; direct deployment available on request. I look forward to hearing from you Best Regard