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I am a Data Scientist with a Master's degree in Statistics and professional experience delivering data-driven solutions through statistical modeling, machine learning, and advanced analytics. I help businesses, researchers, and organizations transform complex data into actionable insights that support informed decision-making. My expertise includes statistical analysis, predictive modeling, machine learning, data visualization, and interactive application development. I have worked on projects across business analytics, healthcare, biostatistics, transportation, and academic research, developing solutions that are both technically robust and practically useful. I specialize in building end-to-end analytical workflows, from data collection and preprocessing to modeling, visualization, and reporting. I also develop interactive applications using R Shiny and other Posit products to help stakeholders explore data and automate decision-making processes. Areas of Expertise • Statistical Modeling and Data Analysis • Machine Learning and Predictive Analytics • Hypothesis Testing and Experimental Design • Regression Analysis and Multivariate Methods • Data Cleaning, Preprocessing, and Feature Engineering • Exploratory Data Analysis (EDA) • R Shiny Application Development • Interactive Dashboards and Data Visualization • Business Analytics and Decision Support • Research and Biostatistical Analysis Technical Skills • Python (Pandas, NumPy, Scikit-learn, XGBoost) • R (Shiny, tidyverse, ggplot2, caret) • SQL • Posit Products (Shiny, Quarto, R Markdown) • Excel and Power BI • Statistical and Machine Learning Techniques • Master's Degree in Statistics • Top Rated Freelancer with 100% Job Success • Experience delivering machine learning, analytics, and statistical solutions • Strong communication with both technical and non-technical stakeholders • Commitment to producing accurate, reproducible, and well-documented work Whether you need advanced statistical analysis, predictive models, interactive R Shiny applications, or comprehensive data solutions, I am committed to delivering high-quality results that create measurable value.

Data Scientist | Transforming Data into Strategic Insights Are you seeking a Data Scientist with a knack for turning data into actionable insights? Look no further! I specialize in extracting valuable patterns from complex datasets to drive informed decision-making. What I Offer: With a solid foundation in statistical analysis, machine learning, and predictive modeling, I excel in transforming raw data into meaningful insights. Proficient in Python, R, and SQL, I uncover hidden trends and patterns that drive strategic outcomes. Key Competencies: - Data Visualization: I leverage tools like Tableau and Power BI to create engaging visualizations that convey complex information in a comprehensible way. Visual narratives facilitate better understanding and collaboration across teams. - Industry Expertise: I've applied my skills across diverse sectors, from customer behavior analysis to financial forecasting. I tailor solutions to address specific business challenges, ensuring the right insights are delivered. - Problem-Solving: I enjoy unraveling intricate problems, devising algorithms, and optimizing models. My approach centers on innovative thinking to provide solutions aligned with business goals. - Continual Learning: Data science evolves rapidly. I stay updated with the latest trends and technologies to provide cutting-edge solutions that deliver impactful results. Services: - Exploratory Data Analysis - Predictive Modeling - Machine Learning Algorithms - Data Cleaning and Preprocessing - Time Series Analysis - A/B Testing - Dashboard Creation and Visualization - Custom Data Solutions for Unique Business Needs I bring more than just numerical skills; I offer a comprehensive understanding of your data to drive strategic actions. Let's work together to unlock the untapped potential within your datasets and propel your business growth. Ready to harness data's power? Let's connect and explore how I can contribute to your success.

Quantitative Economist. I build forecasting and econometric models, and I evaluate LLMs and AI agents for enterprise clients. Top Rated, 100% JSS, 5.0 on every reviewed contract. The forecasting side covers ARIMA, ARIMAX, SARIMA, VAR, GARCH, Prophet, LSTM, and XGBoost, for sales, demand, inventory, and financial data. I backtest and report error ranges honestly. The econometrics side is regression, panel data, VAR/SVAR, cointegration, difference-in-differences, propensity score matching, and event studies. I built a Blanchard-Perotti fiscal SVAR for a research project. Available for applied work, paper reviews, and model audits. For ML and DL work, I use Scikit-Learn, XGBoost, and TensorFlow. I check for data leakage, do proper cross-validation, and flag where a model is likely to fail before you deploy it. For general data analysis, I do EDA, hypothesis testing, A/B testing, and dashboards in Tableau, Power BI, and Streamlit. If your stakeholders need p-values explained in plain English, that's fine too. The AI evaluation work started with enterprise clients on Upwork: RLHF, response rating, DeepResearch review, hallucination detection, red-teaming. Now I do the same for AI agents: rubrics, benchmarks, inter-rater reliability, evaluation pipelines. Not many people do both the statistics and the AI evaluation side. I do. Stack: Python, R, SQL, SAS, Statsmodels, Scikit-Learn, XGBoost, Prophet, TensorFlow, Pandas, Tableau, Power BI, Streamlit, LabelBox, Scale. I think like an economist, which means I look for causation, not just correlation. I tell clients when the data doesn't support what they were hoping to find. And I explain things clearly, whether you're a CEO or a PhD supervisor.

Machine learning : Classification, clustering Decision tree, Prediction. Data visualization : R shiny and Python, High charts Data mining : Weka, R, Python I have worked on many projects using this skills and tools. Like Face detection, Twitter mining, Feature selection, HR analytics, Healthcare Data analysis, etc.

As a freelance professional with a Master's in Science in Statistics, I bring a unique blend of academic knowledge and practical expertise to every project I undertake. With a strong foundation in statistical theory, advanced data analysis techniques and the ability to effectively communicate complex statistical concepts, I am equipped to provide valuable insights and solutions to clients across various industries. My academic journey in pursuing a Master's of Science in Statistics has provided me with a solid understanding of statistical principles and their applications. Through coursework in probability theory, statistical inference, regression analysis, experimental design, and multivariate analysis, I have gained a comprehensive skill set that enables me to tackle diverse data analysis challenges. One of the key aspects of my academic training has been the emphasis on statistical software and programming languages. I have developed proficiency in utilizing tools such as R and Excel to manipulate, analyze, and visualize large datasets. This technical expertise allows me to efficiently process and extract meaningful information from complex data, facilitating evidence-based decision-making for my clients.

With over 4 years of experience in multinational corporations and a strong academic foundation (Master’s in Health Data Science + MBA in Business Analytics), I help businesses transform data into meaningful insights that drive smarter decisions. I specialize in: - 📊 Data Analysis & Visualization – Creating intuitive dashboards in Power BI and Tableau - 🧠 Machine Learning & Predictive Modeling – Using Python, scikit-learn, and pandas - 🗃️ Database Querying & Automation – Writing optimized SQL queries and automating workflows - 💡 Storytelling with Data – Turning complex data into clear, actionable strategies I’ve worked with cross-functional teams in healthcare, finance, and operations to solve real-world problems with data. My approach blends technical precision with business acumen — ensuring that insights are not only accurate but also actionable.