プロフィール詳細

プロジェクトを作成

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Dr. MOHD FAHEEM U.に依頼

India

Freelance Data Science leader skilled in distributive, predictive and hypothetical modelling with 8+ years of experience

プロフィール概要

• Experienced in CPG and stock trading analysis. • Time series modelling using traditional models like ARIMAX, VARMAX, etc., and machine learning models FB Prophet, etc., • Data wrangling and exploratory data analysis to have better insights into data required for better decision making. • Building Machine learning models and predictive analysis • Customer segmentation and lifetime value prediction • Provided value-added insights and recommendations using data for stock trading using different criteria. • Conducted critical research for changing buying, selling criteria, and building a clear understanding of how stock changes behaviour in trading. • Developed Machine learning models for predicting customer lifetime value using RFM score. • Worked on customer segmentation using machine learning algorithms • Performed anomaly/outlier detection and fraud detection using clustering approaches • Performed time series forecasting for sales in stores • Worked on HR analytics • Built recommender system using movie rating data • Worked on image classification using Neural Networks • Simulated real process plant like CSTR using MATLAB and SIMULINK • Detection of process variability due to increased variance and oscillations in process variables • The root cause identification in interactive control loops and diagnose the cause for such variation • Build approaches that can easily identify problems in process industries • Improve the performance of the process by troubleshooting the cause of the problem • More than 4 years of experience in data analysis to provide meaningful insights to data Robert Bosch Centre for Data Science and Artificial Intelligence, IIT Madras, in collaboration with the Chemical Engineering Department. • Computational Software: MATLAB and SIMULINK, Power BI, Tableau, Microsoft Office, etc. • Languages such as Python, R, Latex, a bit of HTML, C, SQL, PHP, Snowflake, Azure Databricks, etc.

専門分野

• ★ Data Science
• ★ Data Visualization
• ★ Trend Analysis
• ☆ Machine Learning
• ☆ Deep Learning
• ☆ Python
• ☆ Matlab
• ☆ SQL
• ☆ Excel
• ☆ Tensorflow
• ☆ LaTex
• ☆ Scikit-learn
• ☆ Skills Training
• ☆ Technical & Scientific Writing
• ☆ Manuscript & Journal Article Writing
• ☆ Case Studies
• ☆ Textbook Content Writing
• ☆ Literature Review
• ☆ Systematic Literature Review
• ☆ Scientific Proofreading & Editing
• ☆ Proofreading & Editing
• ☆ Course Content Writing
• ☆ Consumer Products

サービス

• Writing
• Research
• Consulting
• Data & AI

Writing Technical Writing, Copywriting, Newswriting

Research Market Research, Gap Analysis, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Big Data Analytics, Data Cleaning, Data Processing, Data Insights

職務経験

Team Lead, Senior Data Scientist

Decision Point Pvt Ltd

1月 2021 - 現在

Data Scientist

NGI Venture Pvt. Ltd.

8月 2020 - 1月 2021

Industrial Post Doctoral Fellow

GITAA Pvt. Ltd.

2月 2020 - 8月 2020

Pre-Doctoral Fellow

Indian Institute of Technology Madras

7月 2019 - 2月 2020

学歴

Integrated Master of Science and Ph.D.

Indian Institute of Technology Madras, Chennai, India

7月 2014 - 7月 2019

Bachelors of Technology

UPTU Lucknow

7月 2009 - 6月 2013

認定資格

• Fundamentals of Reinforcement Learning

  University of Alberta

  https://coursera.org/share/fa62aa1cbcb8ac2d34b82a340b9121bf

  1月 2020 - 現在

• Neural Networks and Deep Learning

  deeplearning.ai

  https://coursera.org/share/15a6027f8a9d5b2014b977e555a1788a

  10月 2019 - 現在

• Advance Course in Machine Learning using Python

  GITAA Pvt Ltd, Chennai

  8月 2019 - 現在

出版物

JOURNAL ARTICLE

Mohd Faheem Ullah and Laya Das and Sweta Parmar and Raghunathan Rengaswamy and Babji Srinivasan(2019). On developing a framework for detection of oscillations in data . ISA Transactions. 89. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 96 - 112.

Ullah, M.F., Das, L., Parmar, S., Rengaswamy, R., Srinivasan, B.(2019). On developing a framework for detection of oscillations in data . ISA Transactions. 89. Microsoft.AspNetCore.Mvc.Localization.LocalizedHtmlString 96-112.