Hire the Best Data Scientists in Karachi, PK

PhD Economist| Statistician | Financial Modelling Expert | Data Scientist With 250+ completed projects and 10+ years of experience, I excel in statistical analysis, machine learning, financial modeling, economic research, and applying data science techniques to solve complex business problems. My unique blend of expertise in Finance, Economics, and Data Science allows me to deliver powerful insights that drive decision-making and growth for businesses. ✦ Data Scientist/Statistician With a strong background in statistics and data science, I use advanced techniques to unlock value from data: • Predictive Analytics & Machine Learning Modeling • Survey Data Analysis • Data Mining/Data Extraction • Data Visualization & Reporting • Tools: SQL, Python, R, EViews, STATA, SPSS, MATLAB, NVivo, ✦ Financial Modelling : As a certified Financial Modeling and Valuation Analyst (FMVA) and CFA Level III candidate, I specialize in building sophisticated financial models for you. My expertise: • Financial Modelling, Valuation & Forecasting • Sensitivity Analysis • Budgeting & Corporate Finance • Credit, Market, and Liquidity Risk Analysis • Financial Econometrics/Timeseries ✦ Economist: Holding a PhD in Applied Economics, I’ve authored seven research papers and developed econometric models that inform policy and market strategies. My expertise includes: • Qualitative and Quantitative Research • Macroeconomic Analysis • Economic Forecasting • Time Series/Econometric/Statistical Modelling I work best with clients who need:: ✦ Investor-ready financial models and startup valuations ✦ Academic econometrics for dissertations, theses, or publications ✦ Data science and ML pipelines for research or business intelligence ✦ Economic analysis and policy research for government or industry Message me to discuss your project. I respond within 1 hour and am available for a consultation.

I help businesses turn data into predictive insights, automated workflows, and intelligent decision support systems. As a Data Scientist and Machine Learning Engineer, I specialize in predictive analytics, forecasting, machine learning, Python development, and business intelligence. I build end-to-end solutions that transform raw data into actionable outcomes, helping organizations improve decision making, uncover opportunities, and automate data-driven processes. Recently, I developed a Real-Time Sports Analytics & Prediction Platform that processed live sports data and betting market information across NBA, NFL, MLB, and NHL. The platform integrated live APIs, machine learning models including XGBoost, Random Forest, and LSTM, SHAP explainability, Monte Carlo simulations, automated reporting, and a custom PyQt6 desktop application. It delivered real-time predictions, probability estimates, betting odds analysis, and interactive analytics through a production-ready user interface. Core Expertise • Machine Learning & Predictive Analytics • Forecasting & Time Series Analysis • Python Development & Automation • SQL & Data Engineering • API Integration & Data Pipelines • Business Intelligence & Dashboard Development • Statistical Analysis & Feature Engineering • Data Visualization (Power BI, Tableau, Matplotlib) • Model Evaluation, Explainability & Optimization What I Can Help You With • Build machine learning models that predict outcomes and support business decisions • Develop forecasting solutions for sales, demand, operations, finance, and performance analytics • Create automated reporting systems and executive dashboards • Design and optimize data pipelines, ETL workflows, and API integrations • Analyze large datasets to uncover trends, opportunities, and risks • Build custom analytics applications and end-to-end data products using Python Tools & Technologies Python, SQL, Pandas, NumPy, Scikit-learn, XGBoost, LSTM, Power BI, Tableau, PyQt6, REST APIs, Statistical Modeling, Forecasting, Machine Learning, Data Visualization, Feature Engineering, SHAP, Monte Carlo Simulation If you're looking for someone who can combine analytics, machine learning, forecasting, and software development to solve complex business problems, I'd be happy to discuss your project and propose a practical solution.

⭐ 𝙏𝙧𝙪𝙨𝙩𝙚𝙙 𝙗𝙮 𝙜𝙡𝙤𝙗𝙖𝙡 𝙗𝙧𝙖𝙣𝙙𝙨 𝙞𝙣𝙘𝙡𝙪𝙙𝙞𝙣𝙜 𝙇'𝙊𝙧é𝙖𝙡, 𝙌𝙪𝙖𝙣𝙩𝘽𝙤𝙭, 𝙖𝙣𝙙 𝘿𝙞𝙜𝙞𝙢𝙞𝙣𝙙, 𝙙𝙚𝙡𝙞𝙫𝙚𝙧𝙞𝙣𝙜 𝙙𝙖𝙩𝙖-𝙙𝙧𝙞𝙫𝙚𝙣 𝙨𝙤𝙡𝙪𝙩𝙞𝙤𝙣𝙨 𝙩𝙝𝙖𝙩 𝙞𝙢𝙥𝙧𝙤𝙫𝙚 𝙧𝙚𝙥𝙤𝙧𝙩𝙞𝙣𝙜, 𝙛𝙤𝙧𝙚𝙘𝙖𝙨𝙩𝙞𝙣𝙜, 𝙖𝙣𝙙 𝙗𝙪𝙨𝙞𝙣𝙚𝙨𝙨 𝙙𝙚𝙘𝙞𝙨𝙞𝙤𝙣-𝙢𝙖𝙠𝙞𝙣𝙜. 🐍 Senior Data Scientist | Python Developer | Data Analyst | Machine Learning Engineer 📊 Power BI | Tableau | Looker Studio | Dashboard Development | Business Intelligence 🥇 Microsoft Certified Power BI Data Analyst (PL-300) With 6+ 𝐲𝐞𝐚𝐫𝐬 𝐨𝐟 𝐞𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞, I help businesses transform raw data into actionable insights through 𝐢𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐯𝐞 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐩𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐦𝐨𝐝𝐞𝐥𝐬, 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬. I've successfully delivered solutions for global organizations including 𝐋'𝐎𝐫é𝐚𝐥, 𝐃𝐢𝐠𝐢𝐦𝐢𝐧𝐝, 𝐚𝐧𝐝 𝐐𝐮𝐚𝐧𝐭𝐁𝐨𝐱, helping stakeholders make faster, data-driven decisions. 𝐖𝐡𝐚𝐭 𝐈 𝐜𝐚𝐧 𝐡𝐞𝐥𝐩 𝐲𝐨𝐮 𝐰𝐢𝐭𝐡: ✅ 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 & 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 ➠Power BI Dashboards ➠Tableau Dashboards ➠Looker Studio Dashboards ➠Executive & KPI Dashboards ➠Interactive Reports ➠DAX & Power Query ➠Data Storytelling ✅ 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 & 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 ➠Python (Pandas, NumPy, Scikit-learn) ➠Predictive Analytics ➠Forecasting & Time Series Analysis ➠XGBoost & Machine Learning Models ➠Customer Segmentation ➠Clustering & Classification ➠Feature Engineering ✅ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 & 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 ➠SQL (SQL Server, MySQL, PostgreSQL) ➠ETL Pipeline Development ➠Data Cleaning & Data Wrangling ➠Data Modeling ➠Data Warehousing ➠BigQuery ➠Snowflake ➠Azure Databricks ✅ 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 & 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 ➠Google Analytics ➠Marketing Performance Dashboards ➠Sales Analytics ➠Financial Reporting ➠Customer Analytics ➠Business Performance Reporting ➠Automated Reporting Solutions 𝐖𝐡𝐲 𝐜𝐥𝐢𝐞𝐧𝐭𝐬 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞: ✔ Build scalable dashboards that executives actually use. ✔ Automate manual reporting to save hours every week. ✔ Develop accurate forecasting and machine learning models for smarter business planning. ✔ Transform messy, complex datasets into clean, reliable, and actionable insights. ✔ Deliver clean, well-documented code, clear communication, and on-time project completion. Whether you need a 𝑷𝒐𝒘𝒆𝒓 𝑩𝑰 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅, 𝑻𝒂𝒃𝒍𝒆𝒂𝒖 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅, 𝑷𝒚𝒕𝒉𝒐𝒏 𝒅𝒂𝒕𝒂 𝒂𝒏𝒂𝒍𝒚𝒔𝒊𝒔, 𝑺𝑸𝑳 𝒅𝒆𝒗𝒆𝒍𝒐𝒑𝒎𝒆𝒏𝒕, 𝒎𝒂𝒄𝒉𝒊𝒏𝒆 𝒍𝒆𝒂𝒓𝒏𝒊𝒏𝒈 𝒔𝒐𝒍𝒖𝒕𝒊𝒐𝒏, 𝑬𝑻𝑳 𝒑𝒊𝒑𝒆𝒍𝒊𝒏𝒆, 𝑺𝒏𝒐𝒘𝒇𝒍𝒂𝒌𝒆, 𝑨𝒛𝒖𝒓𝒆 𝑫𝒂𝒕𝒂𝒃𝒓𝒊𝒄𝒌𝒔, 𝑩𝒊𝒈𝑸𝒖𝒆𝒓𝒚, or an end-to-end analytics solution, I can help turn your data into measurable business value. 𝐋𝐞𝐭'𝐬 𝐝𝐢𝐬𝐜𝐮𝐬𝐬 𝐲𝐨𝐮𝐫 𝐩𝐫𝐨𝐣𝐞𝐜𝐭 𝐚𝐧𝐝 𝐛𝐮𝐢𝐥𝐝 𝐚 𝐝𝐚𝐭𝐚 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐫𝐞𝐬𝐮𝐥𝐭𝐬.

Updated on 14/08/2026 Most dashboard problems are not dashboard problems. A number that does not match what someone counted by hand usually broke three steps earlier, in ingestion or a transformation nobody tested. That is where I actually spend my time as a Data and AI Engineer, and the chart at the end is the easy part. My pipelines typically run on Airflow or Mage AI, with Kafka and PyFlink handling anything that needs to move in real time. On AWS I work with Lambda, S3, EventBridge, and SNS, and bad records get pulled into a quarantine bucket instead of quietly sitting in a table someone trusts. For transformation, I build dbt models on Snowflake and PostgreSQL, structured bronze through gold, with schema tests and business rule checks written into the models themselves, so a broken assumption gets caught in the pipeline instead of by whoever opens the report next. Reporting comes after the data is solid. I build in Power BI or Tableau around the one question the business actually needs answered, not a stack of generic rollups nobody reads. When the need is document search or research rather than dashboards, I build RAG systems that score their own retrieval accuracy, so a weak answer gets flagged instead of handed over as confident nonsense. I am currently applying this same thinking at Genix Pharma, building AI-assisted workflows on local LLMs through Ollama for model experimentation, evaluation, and automated reporting. A few things I have shipped recently: a district-level KPI dashboard on Snowflake and Power BI built from layered dbt models, incremental dbt pipelines feeding logistics and lending risk reporting, a real-time Kafka and PyFlink pipeline with event-time processing sinking to PostgreSQL, and a serverless AWS pipeline where a quarantine bucket keeps bad files from ever reaching the tables people query. If a tool is not something I have genuinely used, I will say so instead of guessing my way through your job. Tell me what the reporting needs to answer and where your data lives right now, whether that is Excel, PDFs, or a handful of systems that do not talk to each other, and I will give you a straight read on whether it is a small fix or a bigger rebuild. Machine Learning, Database Design, Delta Lake Expert, Databricks Engineer, Big Data Consultant, AWS Data Specialist, Database Architecture, Amazon Web Services, Artificial Intelligence, Deep Learning Modeling, Machine Learning Engineer, Data Analytics & Visualization Software, Data Warehousing & ETL Software Data Processing, Cloud Engineering, GCP Analytics, Data Analytics, Data Visualization, Spark Developer, ETL, SQL, Python, DBT, Snowflake, Apache Airflow, Apache Kafka, AWS, Data Pipeline, Power BI, Python, Snowflake, ETL, Big Data, ETL Pipeline, Data Engineer, ETL Developer, Data Science, Data Analysis, Deep Learning, Data Engineering, Azure Databricks, MLOps Engineer

CS undergrad passionate about turning data into actionable insights and building smart ML solutions. I specialize in: Machine Learning & Data Analysis: Predictive modeling, classification, clustering (k-means, RFM), feature engineering Data Handling & Visualization: Pandas, NumPy, Matplotlib, Seaborn Model Deployment: APIs with Flask, Gradio, Hugging Face Spaces Projects I’ve Delivered: Customer Segmentation using RFM Analysis: Identified high-value and at-risk customers for business growth Heart Disease Prediction API: Built & deployed a predictive ML model accessible via API I’m dedicated to clean, efficient code, actionable insights, and deploying models that solve real-world problems. Whether it’s data analysis, ML modeling, or building deployable ML APIs, I bring hands-on experience and a results-oriented approach. Let’s collaborate to turn your data into decisions and your ideas into intelligent solutions.

AI & Software Engineer | Specializing in Generative AI, Machine Learning I am experienced in building intelligent systems and optimizing cloud infrastructure with extensive hands-on experience in AI, data engineering, and cloud technologies. With a proven track record of delivering scalable, efficient, and tailored solutions, I’m here to help bring your tech vision to life. ————————— You are here because ————————— - You are a small to mid-sized startup or business pushing the boundaries of technology. - You need custom AI or cloud solutions that go beyond pre-built options and offer a competitive edge. - You need expert guidance in automating workflows, deploying AI models, and optimizing cloud infrastructure to scale. - You’re looking for a tech partner who can handle everything from data pipelines to machine learning models, and deliver results. ——————————— Here’s why I’m the right fit: ——————————— I specialize in building and deploying complex AI solutions that automate tasks, optimize processes, and scale with your business. My experience spans multiple industries, and I’ve delivered everything from predictive data pipelines to advanced machine learning models. I work with technologies like Python, AWS, GCP, and Ansible to provide end-to-end solutions. ——————————— I help my clients: ——————————— - Develop and deploy intelligent systems (e.g., LLM assistants, predictive models, and image enhancement). - Optimize cloud infrastructure (AWS/GCP) for maximum performance. - Automate workflows using Ansible and monitor critical operations with Grafana. - Build robust data pipelines using PySpark, Airflow, and BigQuery. ——————————— More about me: ——————————— With a strong foundation in AI, cloud computing, and software development, delivering custom solutions that drive business outcomes. My projects range from automating customer support with AI assistants to designing scalable data pipelines for real-time data processing. I use tools like AWS SageMaker, Docker, and Kubernetes to build production-ready solutions. Whether you need an AI-powered application or cloud infrastructure optimization, I’m here to guide you through the entire process, from planning to execution. For more details on my projects and how I can assist you, check out my portfolio below. Let’s collaborate and bring your tech vision to life!