Hire the Best Econometrics Specialists
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I am a PhD-level Data Analyst and Research Writer specializing in econometrics, financial analysis, and academic research. I help clients with high-quality papers, data analysis (R, STATA, Python), and systematic literature reviews. With over 10+ years of professional and teaching experience, I’ve successfully worked with clients and students around the world, known for my clarity, speed, and precision in every project I take up. What I Can Help You With Research & Report Writing – Academic, business, or policy-based projects Data Analysis & Visualization – Using EViews, SPSS, R, STATA, or Excel Professional Writing – Articles, summaries, business content, proofreading, or editing Tutoring & Guidance – Finance, Economics, and Research Methodology Project Support – Structuring data, interpreting results, or preparing presentations Why Clients Love Working with Me 💬 “Super responsive and easy to work with — delivers before the deadline every time.” 💬 “Very clear communication and strong research skills.” 💬 “Highly professional, dependable, and detail-oriented.” 💬 “One of the best freelancers I’ve worked with — delivers excellent results consistently.” 🧠 Core Strengths ✅ PhD in Finance | Gold Medalist – MBA (Finance) ✅ Strong command over academic and professional research ✅ Consistent 5⭐ client satisfaction & repeat clients ⚙️ Tools I Work With EViews | SPSS | R | STATA | Excel (Advanced) | PowerPoint | Word | Data Analysis | Report Structuring 🤝 Let’s Collaborate If you need someone who is: ✔️ Professional and easy to communicate with ✔️ Delivers accurate and polished work without delay ✔️ Understands both data and writing deeply Then let’s connect — I’ll make sure your project gets the quality, clarity, and punctuality it deserves.

With a Ph.D. in Statistics and over 14 years of academic and research experience, I provide expert-level statistical consulting and data analysis services for both academic and industry-based projects. Currently serving as an Assistant Professor in Statistics, I specialize in transforming raw, complex data into clear, actionable insights that drive results. Tools & Technologies I Use: SPSS, R Studio, Python (Pandas, Scikit-learn, Statsmodels), SAS Studio, MS Excel (Advanced Analytics), Jamovi, Stata, Systat Services I Offer: Hypothesis Testing & Inferential Statistics Regression, ANOVA, Correlation, Chi-square Exploratory & Confirmatory Factor Analysis (EFA/CFA) Machine Learning & Predictive Modeling Survey Design & Likert Scale Analysis Thesis/Dissertation Support (Statistical Chapters & Interpretation) Data Cleaning, Visualization & Report Writing Industries I Serve: Healthcare & Clinical Research (biostatistics, RCT analysis, patient data) Education & Social Sciences (survey studies, experimental designs) Business & Marketing Analytics (consumer behavior, A/B testing, forecasting) Finance & Economics (risk analysis, time series forecasting, econometrics) Psychology & Behavioral Science (scale validation, SEM, psychometrics) Public Policy & Government Research (sampling methods, demographic analysis) Manufacturing & Quality Control (DOE, control charts, Six Sigma tools) Client-Centric Approach: I’m committed to delivering accurate, timely, and impactful solutions — whether it’s a one-time analysis or long-term support. I’ve worked with Ph.D. scholars, researchers, startups, and professionals across the globe. Rate Flexibility: I value long-term professional relationships and client satisfaction, and I am willing to work at your proposed rate to ensure we achieve the best outcomes together. Now bringing my services to Upwork, I aim to deliver accurate, reliable, and impactful statistical solutions always on time and tailored to your unique goals. Let’s connect and discuss how I can help bring your data to life.

I am a professional statistician with a doctorate degree in Statistics. Presently, working as a Statistics Professor at University. I have a teaching experience of 8 years. I have taught both undergraduate level and postgraduate level students of colleges and universities. I have 12 research papers published in peer-reviewed and referred journals. I am fluent in English and have command over various topics in statistics. I have collaborated with departments like biostatistics, microbiology, physics, environmental science, social science, management. My specialization is in Sampling Theory, Design of Experiment, Econometrics, Multivariate Analysis, Parametric Inference, Factorial Experiment, Sequential Analysis, Numerical Analysis. I have good command over Applied Statistics as well. I use software like Ms Excel and R to perform analysis. My teaching involves lots of real-life examples to make the context of the taught topic relatable and engrossing. I try to make my teaching as simple as possible for students of any caliber to understand and simplify the concepts to the very basics. I also help in writing a thesis and working on survey analysis and other such problems. Also, I am online tutor. I use technologies like skype, google hangout, zoom, bit paper as software for online tutoring, and Wacom digital pen as hardware.

• Specialist in finance and economics with experience in private equity, investment banking, investment research, corporate valuation and quantitative finance • Proficient in creating quantitative models on Python (Jupyter notebooks) and Microsoft Excel to solve problems and uncover data-driven insights • Organised and systematic, value honest and open communication --------------------------------- PROJECT LIST DATA ENGINEERING AND PROCESSING FRAMEWORKS • Throughout my masters, independent coursework and work experience, I have dealt with projects which required building automated data capturing and processing frameworks • Data processing framework in Python to interact with APIs of data providers like FRED, NASDAQ Data Link, OECD Stat for importing raw data and carrying out several data processing steps like frequency conversion, adjustments for data release dates, units of measurement etc. • I have written Python scripts to automate the job application process. These scripts scrape jobs from websites of target companies, display new vacancies in one place & save them in a database for future reference • I also worked on a dataset of signals on an ETF to assess their effectiveness. To do this, I carried out a number of data pre-processing and pipeline construction steps in Python using a Jupyter notebook environment ECONOMETRICS • I have used ARIMA-GARCH, VARMA-Multivariate GARCH & VECM models to create a trading strategy using Gold, Equity ETF returns & Bitcoin returns • I also used R in a project which required the use of various time series techniques to predict monthly natural gas consumption in Illinois, US MACHINE LEARNING AND PREDICTION • Ran several unsupervised (PCA, K-means) and supervised (CART, SVM, NN) ML algorithms on 35-dimensional ETF dataset • I undertook a causal study of ETF returns across 11 US sectors and 19 economic indicators across 3 buckets (leading, coincident, lagging) using linear and lasso regressions, CART and K-means algorithms. I then classified each of these ETFs into leading, coincident and lagging buckets • This was followed by derivation 165 combinations of efficient 3-ETF portfolios using the Critical Line Algorithm, and their comparison with 3-PC portfolio. I then studied the relationship between returns of the 165 portfolios and weight allocation to leading, coincident and lagging economic indicators • Created an image recognition algorithm which distinguishes cats from ‘non-cats’ • Implemented a two-class classification, 3-layered deep neural network for planar data classification using non-linear activations. Write forward and back propagation algorithms from scratch to fit the DNN’s parameters • Wrote code to apply L2 regularisation with dropout to a deep learning model that recommends positions to football players • Built a gradient checking algorithm to check for any errors in the implementation of a fraud detection deep neural network model • Apply optimisation algorithms like stochastic gradient descent, momentum, RMSProp and Adam to speed up convergence and improve optimisation of a deep neural network’s parameters BACKTESTING AND ANALYTICS • I am testing a variety of trading algorithms on multi-asset portfolios using Python libraries for data manipulation and ML like NumPy, Pandas, Sci-kit Learn etc. • I also run optimisation exercises using Python libraries like SciPy to find optimal levels of that algo's parameters • I then use the Dash framework in Python to build interactive analytics dashboards to display the algo's results for a customisable set of inputs and parameters SIMULATION AND CALIBRATION • Monte Carlo simulations for barrier options pricing, yield curve fitting (NSS) • Construction, testing and validation of a robust model to price a basket of 5 nth-to-default CDS FINANCIAL MODELLING • Equity research report on Associated British Foods (ABF) using Discounted Cash Flow (DCF) and residual income valuation • 3-statement (income statement, balance sheet, cash flow statement) financial modelling and projections for Chewy Inc. • Presentation deck pitching PropTech start-ups offering home ownership and senior housing solutions for millennials and the silver economy respectively • Strategic pitch analysing expansion opportunities across potential European cities for a real estate company offering co-living spaces --------------------------------- INDEPENDENT COURSEWORK (Please refer to the Certifications section) • 6-course Python for Everybody specialisation • SQL for Data Science • Introduction to Cloud Computing • Machine Learning • Neural Networks and Deep Learning • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization • Structuring Machine Learning Projects --------------------------------- DEGREED QUALIFICATIONS • MSc in Financial Engineering • Chartered Financial Analyst (passed 2 levels) • MSc in Management (Finance) • BA (Hons) Economics

✔Chartered Financial Analyst ✔Master's in Economics ✔MBA from B school ✔Financial Modeling & Business Analyst ✔10 years of on job experience ✔Xero | QuickBooks | SAP | Sage Intacct | NetSuite | Zoho Books | FreshBooks | Oracle Financials | Microsoft Excel (Advanced) | Tableau I'm an accomplished Economist and Chartered Financial Analyst with over 10 years of experience in accounting, corporate finance, and audit. I help businesses streamline financial operations, ensure compliance, and make data-driven decisions through accurate reporting and advanced financial modeling. Specializing in utilizing accounting software such as QuickBooks ProAdvisor and Xero Advisor, I streamline financial operations to ensure optimal performance. My services encompass a wide array of bookkeeping functions, including but not limited to: ⚡Areas of Expertise: ✅Accounting & Bookkeeping: Full-cycle accounting, reconciliations, and compliance. ✅Corporate Finance: Capital structuring, valuation, and strategic advisory. ✅Audit & Assurance: Internal controls, risk assessment, and statutory audits. ✅Financial Modeling & Business Analysis: Forecasting, budgeting, and scenario planning. ✅M&A Advisory: Due diligence, valuation, and integration support. ✅Custom Financial & Business Models ✅Software Setup & Migration (Xero, QuickBooks, SAP, etc.) ⚡Software Proficiency: Xero | QuickBooks | SAP | Sage Intacct | NetSuite | Tally | Zoho Books | FreshBooks | Oracle Financials | Microsoft Excel (Advanced) | Power BI | Tableau ⚡Industries Served: Startups | SMEs | E-commerce | Manufacturing | Financial Services | Real estate ⚡Why Choose Me: I combine technical expertise with strategic insight, ensuring your financial operations are accurate, compliant, and optimized for growth. Whether you need day-to-day bookkeeping, complex financial models, or corporate finance advisory, I deliver high-quality, timely, and confidential services. ⚡Skill Tags Accounting Bookkeeping Financial Analysis Corporate Finance Audit & Assurance Financial Modeling Business Valuation Mergers & Acquisitions Budgeting & Forecasting Xero QuickBooks SAP Sage Intacct NetSuite Power BI Excel Modeling

Hi, my academic interest lies in Economics and I have pursued a Master's degree in the same field. Currently, I work as an Economics expert which involves teaching, research, data analysis, problem solving, clearing doubts. I consider myself as a dedicated and passionate person who does not look beyond anything except Economics. I specialize in Econometrics, Development Economics, Statistics, and Mathematical Economics papers with in-depth concepts of Microeconomics and Macroeconomics. Moreover, I am skilled in using data analysis software such as Stata, R programming, Gretl. So, as an expert, I always make much effort in the tasks and projects where I never compromise on quality level.