Hasan F Email & Phone Number

United States

New York, United States

- Developed advanced predictive models in agile methodology( ranging from Exponential Smoothing to building neural networks) leveraging ML techniques to forecast subscription trends, churn prediction, audience segmentation, optimizing inventory levels and price optimization.- Conducted comprehensive customer profiling, leveraging advanced segmentation techniques, predictive modeling, and data enrichment, encompassing customer scoring, prospect analysis, lead generation, data mining, market… Show more - Developed advanced predictive models in agile methodology( ranging from Exponential Smoothing to building neural networks) leveraging ML techniques to forecast subscription trends, churn prediction, audience segmentation, optimizing inventory levels and price optimization.- Conducted comprehensive customer profiling, leveraging advanced segmentation techniques, predictive modeling, and data enrichment, encompassing customer scoring, prospect analysis, lead generation, data mining, market and trade area analysis, distribution channel assessment, and performance tracking, feeding into streamlit, culminating in rigorous ROI analysis using AWS EMR, Athena and Amazon Sagemaker.- Leveraged cohort analysis utilizing Python and PostgreSQL to dissect subscriber behavior patterns on Shrewd Food DTC channel, enhancing personalized recommendations and upsell opportunities, while validating outcomes through A/B testing and continuous refinement.- Leveraged the power of Tableau, Google Data Studio, and Power BI to architect and develop dynamic and interactive dashboards, meticulously displaying and tracking intricate subscription metrics.- Leveraged Python's extensive libraries, including pandas for data preprocessing, feature tools for comprehensive feature engineering, and scikit-learn for intricate model development, ensuring the creation of highly resilient and scalable data science solutions.- Develop churn prediction models using classification algorithms to proactively identify and address potential subscription cancellations.- Led and guided a high-performing team of data scientists, fostering innovation, driving data-driven decision-making, and achieving impactful business outcomes. This role also involves tasks such as recruiting, coaching, training, and supporting the career growth of team members. Show less

Bloomfield, Connecticut, United States

- Developed and deployed predictive models using machine learning algorithms (XGBoost, Random Forest) to forecast patient health outcomes, enabling proactive interventions and personalized treatment plans.- Applied a blend of Azure Machine Learning and Databricks to analyze healthcare data, driving evidence-based medical decisions and advancing patient-centric care models.- Spearheaded end-to-end development of advanced generative-based products, orchestrating batch document extraction… Show more - Developed and deployed predictive models using machine learning algorithms (XGBoost, Random Forest) to forecast patient health outcomes, enabling proactive interventions and personalized treatment plans.- Applied a blend of Azure Machine Learning and Databricks to analyze healthcare data, driving evidence-based medical decisions and advancing patient-centric care models.- Spearheaded end-to-end development of advanced generative-based products, orchestrating batch document extraction and real-time document Q&A solutions, resulting in enhanced data-driven decision-making for clients.- Utilized NLP techniques to extract valuable information from unstructured EHR data, enabling efficient extraction of patient histories, diagnoses, and treatment progress for holistic healthcare assessments.- Developed anomaly detection LLM and network analysis techniques to detect fraudulent activities within insurance claims data, safeguarding the integrity of the healthcare system.- Employed clustering and segmentation techniques on demographic and health data to categorize patient populations, aiding in the identification of at-risk individuals and the development of targeted health promotion initiatives.- Created risk stratification models using logistic regression and deep learning architectures to identify individuals at risk of chronic diseases, contributing to early intervention and preventive measures.- Envisioned and implemented AI-powered GenAi Document Q&A Solution, utilizing technologies such as LangChain, TensorFlow, and SparkNLP to empower users with accurate and real-time document-based answers.- Transformed raw data into actionable insights by skillfully employing Dataiku and Databricks, enhancing decision-making capabilities through meticulous data preprocessing, model training, and performance evaluation. Show less

Chennai, Tamil Nadu, India

Programming and Other Tools Used: R (packages: caret, dplyr, ggplot2, forecast, zoo, reshape2, stringr, etc), Python (Modules: pandas, Numpy, SciPy, Scikit-Learn), SQL, AWS ecosystem, Tableau, PowerPivot, Power View, SSRS- Developed and deployed predictive models using Python and scikit-learn for credit risk assessment, enhancing loan approval accuracy.- Analyzed member transaction data using SQL to uncover spending patterns and recommended personalized financial services.-… Show more Programming and Other Tools Used: R (packages: caret, dplyr, ggplot2, forecast, zoo, reshape2, stringr, etc), Python (Modules: pandas, Numpy, SciPy, Scikit-Learn), SQL, AWS ecosystem, Tableau, PowerPivot, Power View, SSRS- Developed and deployed predictive models using Python and scikit-learn for credit risk assessment, enhancing loan approval accuracy.- Analyzed member transaction data using SQL to uncover spending patterns and recommended personalized financial services.- Utilized time series analysis to forecast deposit trends and optimized liquidity management strategies.Collaborated with marketing teams to design A/B tests using R and caret, optimizing campaign effectiveness and member engagement.- Created interactive Tableau dashboards to track key performance indicators, providing actionable insights for executive decision-making.- Stayed current with emerging data science trends, contributing to innovation and fostering a data-driven culture within the organization.- Create compass point data reports and build price optimization routines. Show less

Chennai, Tamil Nadu, India

- Gathering, defining, and documenting requirements, identifying and analyzing metrics and key performance factors for UX tests. - Utilized Python(pandas), PowerQuery for data extraction and preprocessing, transforming raw financial data into structured datasets for analysis.- Applied statistical methods ( hypothesis testing, regression analysis) to identify and interpret patterns in market trends, supporting investment decisions.- Collaborated with stakeholders to develop pricing… Show more - Gathering, defining, and documenting requirements, identifying and analyzing metrics and key performance factors for UX tests. - Utilized Python(pandas), PowerQuery for data extraction and preprocessing, transforming raw financial data into structured datasets for analysis.- Applied statistical methods ( hypothesis testing, regression analysis) to identify and interpret patterns in market trends, supporting investment decisions.- Collaborated with stakeholders to develop pricing models using derivatives valuation techniques (Black-Scholes, Monte Carlo simulations) for accurate risk assessment.- Conducted time series analysis to forecast market volatility, enhancing risk management strategies and informing portfolio adjustments.- Leveraged SQL to query and analyze large-scale transactional data, uncovering anomalies and potential fraudulent activities for fraud detection.- Developed advanced Excel models for portfolio optimization, integrating historical data and risk parameters to recommend balanced investment strategies.- Created Tableau dashboards with interactive visualizations to communicate complex financial analyses and insights to stakeholders.- Contributed to the development of algorithmic trading strategies, implementing quantitative models and backtesting using R and MATLAB.- Stayed informed about evolving financial regulations, industry trends, and data science advancements to continuously enhance analytical methodologies. Show less