Ali Tahsili Email & Phone Number

Vancouver, Bc, Ca

Vancouver, British Columbia, Canada

Vancouver, British Columbia, Canada

Institutional quality financial models — at the click of a button — and the tools you need to integrate them seamlessly into your research workflow. Proud to build and maintain fundamental models that the world's largest, most successful investment managers rely on to get the cleanest fundamental data and leverage their time. www.tegus.com

Peterborough, Ontario, Canada

• Scraped, gathered, and cleansed data from a real estate website and applied different regression analyses (linear, LASSO, ridge, elastic net) and varied machine learning methods (decision tree, random forest, XGBoost) to compare the performances of models and predict the house prices in Los Angeles based on hedonic pricing factors• Filtered weighted data with more than 6,000,000 rows and 300 variables, employed unsupervised ML methods (hierarchical clustering, k-means) to cluster observations, and deployed multiple logistic regression to enhance accuracy and efficiency• Extracted and wrangled data from different websites and conducted Natural Language Processing (NLP) techniques (TF-IDF, n-gram), and sentiment analysis using R to analyze the relevancy in text summarization• Developed a model to select the best portfolio consisting of 5 out of 100 asset classes based on efficient frontier w/wo short selling, using data scraping by Python and solver in Excel• Created fully reproducible R Markdown documents for various data analysis reports using CSS and HTML syntax and selectors• Applied forward/backward difference methods to price European put/call options using MATLAB• Employed immunization strategy to minimize the interest rate risk of a pool of bonds by adjusting the portfolio duration to meet obligations for a company using MATLAB

Tehran, Iran

• Conducted machine learning solutions using Python to cluster and predict customers' annual purchases, resulting in 15% improved accuracy of the $10M expected budget• Led a team of four to forecast capital spending and budgeting for a turnkey project worth $5M• Scraped, gathered, cleansed, and processed competitors' data to analyze geographic segmentation by price, using SQL, resulting alter in pricing strategy and 14% growth in EBITDA• Improved reporting process time by 30% with ad hoc analysis using Excel (e.g., Pivot Table, Drop Down list) and Tableau• Delivered financial solutions to BOD by delegating some overhead expenses to 3rd party contractor, resulting 15% increase in growth rate• Retrieved, organized and manipulated 10G of data using complex nested queries in MySQL

Tehran, Iran

• Automatized the process of producing a nipple watering system and increased the rate of production tenfold• led a team of engineers to program CNC punching and cutting machines• Designed high efficiency and low energy consuming heaters for poultry farming, adopted for mass production

East Windsor, New Jersey, United States

• Created various database objects: tables, views, triggers, stored procedures, and functions in SQL Server 2012 Enterprise• Created parameterized, drill down, drill through, matrix reports, and chart reports using SSRS 2008R2• Developed logical and physical design using Erwin and Visio application

Greater Boston Area

Working on a research regarding controlling micro cantilever beam in AFM based on non vector space control and distributed model of beam for nano-manipulation application.

Master'S Degree, Big Data Financial Analytics: Applied Modelling & Quantitative Methods, 97%

Master Of Science (Ms), Mechanical Engineering, 4.0

Courses: System Identification, Adaptive Control, Mechatronics, Dynamics and Vibration, Advanced Mathematics, Financial Management

Bachelor Of Science (Bs), Mechanical Engineering

Courses: Finite Element Method, Heat Transfer, CAD, and Fuels and Combustion Thesis: “Simulating Capturing Drops with a Thin Fiber.