Quantitative Analyst Adele Shahi

ad1yes@r.postjobfree.com Linkedin.com/in/Adele-Shahi 917-***-**** New York, NY, 10033 Accomplished Quantitative Analyst with a strong background in data analysis, market research, and strategic planning. Proficient in data modeling, machine learning, and statistical analysis. Adept at advising startups and crafting strategic plans across diverse industries. Experienced in driving revenue growth and enhancing overall business performance through actionable insights. Skilled in financial data analysis and contributing to informed decision-making. Excited to leverage my expertise in the dynamic field of financial analysis.

Seeking a challenging role as a Quantitative Analyst in the field of finance with a strong focus on leveraging data science methodologies. My objective is to apply my expertise in data analysis, machine learning, and statistical analysis to enhance financial decision-making, drive revenue growth, and provide actionable insights. I aim to continuously refine my skills and contribute to the dynamic and evolving landscape of financial analysis."

Education

Data Science Engineering (M.Sc.), The City University of New York, New York, NY. 2023 Capstone project: Optimizing the structure of the localization algorithm in the UNav vision-based navigation system. System Management & Productivity (M.Sc.), Polytechnic University of Tehran. 2015 Thesis: A multiple response robust design approach for improving manufacturability. Statistics (B.Sc.), Isfahan University of Technology. 2009 Work Experience

Quantitative analyst, Proof Trading, New York City, NY Mar 2022- present

• Applied data science methodologies, including regression, logarithmic regression, non-parametric statistics, ARIMA time series, machine learning, and aggregate analysis to analyze, process and visualize data in python.

• Utilized various libraries such as NumPy, Pandas, SciPy, Matplotlib, Seaborn, Stats models, and scikit-learn to support data analysis.

• Launched a sophisticated time series model to optimize the prediction of daily stock trading volume.

• Employed advanced big data techniques to significantly enhance the code's processing speed and efficiency. Quantitative analyst, RFCUNY, New York, NY Jul 2022- Sep2023

• Analyzed research funds, grants and projects award data aligned with CUNY strategic goals using python, with focus on Pandas and NumPy libraries.

• Conducted an in-depth analysis of indirect costs within research groups across departments and different buildings at CUNY.

• Designed and implemented relational databases using Claris FileMaker.

• Created analytical dashboards for grant data visualization utilizing Claris FileMaker and Power BI.

• Developed a strategy map based on Balanced Score Cards (BSC) to align RFCUNY with CUNY's strategic goals across financial, stakeholder, customer, internal processes, and learning & growth perspectives.

• Established strategic key performance indicators (KPIs) in alignment with CUNY's strategic objectives. Senior Business intelligence analyst, FANAP 2018- 2021

• Conducted comprehensive market research, including market segmentation, competitor analysis, customer insights, SWOT analysis, trend analysis, and market entry strategies across multiple industries such as fintech, energy, tourism, health, education, entertainment, transportation, and information technology industries.

• Facilitated alignment between the bank's strategic objectives and emerging businesses in diverse sectors.

• Designed value chains that identified value-adding activities, optimized processes, analyzed costs, and enhanced market and customer focus, Technology Integration, and supply chain management, for over fifty creative startups in different industries like Health, Fintech, Tourist, Energy, Food and Transportation.

• Developed analytical dashboards using Power BI and Tableau to support strategic decision-making for over fifty innovative startups in multiple modules like supply chain management (SCM), and Customer relationship management (CRM).

Business intelligence analyst, FANAP 2014- 2017

• Designed and implementation strategy maps based on Balanced Scores Cards (BSC) to align with Middle East Mines & Mineral Industries Development (MIDHCO) strategic goals.in four perspectives to utilized in Enterprise Resource Planning (ERP) system.

• Developed strategic key performance indicators (KPIs) for critical components of the Enterprise Resource Planning (ERP) system, including Supply Chain Management (SCM), Customer Relationship Management

(CRM), Manufacturing and Production, Inventory Management, and Human Resources (HR).

• Created analytical dashboards for data visualization within different ERP’s modules including SCM, HR, CRM, WMS, and manufacture using Oracle BI and SQL.

Data analyst, LIKERT 2008- 2012

• Utilized various data analysis methodologies, including regression, logarithmic regression, non-parametric statistics, and design of experiments, to investigate wing width control for rolled iron beams in the steel industry using SPSS, STATA, and SAS.

• Implemented quality control methods like statistical process control (SPC), Six Sigma, and Total Quality Management (TQM) to ensure product and service quality in various factories like Naein Tile Factory, Etfagh stone factory and Azadi stone factory.

• Successfully completed projects investigating the effects of shift and work intensity on the family life of Isfahan Mobarakeh Steel employees and conducting a comparative study between theoretical content and market realities in the Tehran Stock Exchange.

Technical Skills

• Programming languages: Python, SAS, R, SQL.

• Data base tools: SQL, Neo4j, Claris FileMaker.

• Dashboard design: Power BI, Tableau, Oracle BI.

• Data Analysis and Data Visualization: Pandas, NumPy, SciPy, matplotlib, seaborn, Stata, SPSS.

• Statistical techniques: Regression, Logarithmic Regression, Non-parametric Statistics Methods, ARIMA Time Series, Aggregate Analysis, K-Nearest Neighbors (KNN), Confusion Matrix, Classification, Clustering and Design of experiment.

• Cyber Security skills: Network Security, Encryption, Integrity, Privacy and data confidentiality, Threat Detection and Network Vulnerabilities.

• Office productivity Software: Visio, SharePoint, Sales Force, Access, Google Docs products, and Advance Excel (PivotTables, Reference Functions, What If analyses).

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Certificates and Professional Development

• CYBEROPS, Cisco. 2023

• Cybersecurity Essentials, Cisco. 2023

• Introduction to Cybersecurity, Cisco. 2023

• Data Science and Machine Learning, Summer School, Khatam University 2019

• Value Added Tax (VAT), the National Tax Administration, University of Economic Sciences 2012

• Claris File Maker 2022

• Tableau 2020

• Power BI 2019

• Scrum Master, Scrum product Owner 2018

• ITIL Intermediate, ITIL Practitioner and ITIL Foundation 2017

• SQL 2017

Publications

Customer Churn Prediction Using a Meta-Classifier Approach: A Case Study of Iranian Banking Industry 2019 Designing a Process Model for Strategy Development in Governmental Organization Under Uncertainty and Based on Network Governance 2016

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