Irshad Hussain Email and Phone Number

• Use Agile methodology and scrum process for project development.• Perform exploratory analysis on research data and transformed raw information into insight and provide recommendations using Tableau, Advanced Excel Macros, and SQL.• Utilizing machine learning algorithms such as linear regression, multivariate regression, naive bayes, Random Forests, Logistic regression for data analysis.• Perform Data Cleaning, features scaling, features engineering using Ggplot2, Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, NLTK, Matplotlib, Seaborn packages in Python and R.• Performing data visualization and developed presentation material utilizing Tableau.• Use Tableau to design and maintain reports and dashboards to track and communicate customer churn prediction performance.

• Successfully created a regression model of energy consumption using Machine Learning in Python to monitor the trend between various parameters and ensured the best performance of the model.• Maintained the database of energy house data in SQL and performed various queries to fetch data.

• Enabled continuous authentication of smartphone users through the collection of unsupervised biometric data• Ensured accurate annotation and labeling of behavioral aspects of the objects in the frame• Increased productivity and accuracy by establishing best practices and labeling guidelines for the annotation team• Performed data integrity checks, data Annotation, data cleansing, exploratory analysis and feature engineer using python and data visualization packages such as Matplotlib, Seaborn.• Wrote and optimized SQL queries to perform data extraction and merging from SQL server database.

• Conducted research on development and designing of sample methodologies like Waterfall.• Worked with Python and R libraries like Ggplot2, NumPy, Pandas, SciPy and Matplotlib.• Metrics developed & dashboard built using Power BI, which would reward drivers for safe driving and keep checks on health of the vehicle.• Effectively implemented A/B testing to improve UI/UX and KPIs, increasing the revenue by 15%.• Performed Machine learning using linear regression, Multivariate analysis and Support Vector Machines in Python and R.• Wrote and executed various MySQL database queries from Python MySQL connector and MySQL Db package.• Worked with Power Query, Power map, Power BI and Power View for outstanding reports.• Participated in all phases of data mining, data collection, data cleaning, developing models, validation and visualization.