Mohit Patel Email & Phone Number

Scarborough, Ontario, Canada

• Apply advanced statistical analysis techniques to extract actionable insights from complex data, enabling data-driven decision-making.• Develop and deploy machine learning models for predictive and prescriptive analytics, optimizing business processes and strategies.• Clean, preprocess, and transform raw data into structured formats, ensuring data quality and integrity.• Create and fine-tune deep learning models for tasks like NLP and computer vision, enhancing natural language understanding and image recognition.• Collaborate with cross-functional teams to define project objectives, conduct A/B tests, and interpret results to drive improvements.• Utilize big data technologies (Hadoop, Spark) to handle and analyze large datasets, optimizing performance and scalability.• Design and implement data pipelines for ETL processes, orchestrating data workflows efficiently with tools like Apache Airflow.• Perform exploratory data analysis, visualizing findings using tools like Matplotlib and Tableau to communicate insights effectively.• Utilize cloud computing platforms (AWS, Azure, GCP) for scalable and cost-effective data storage and processing solutions.• Apply advanced optimization techniques for resource allocation and decision support, improving operational efficiency.• Conduct hypothesis testing and statistical modeling to validate findings and make data-backed recommendations.

Toronto, Ontario, Canada

• Collaborate with data engineers to design and optimize data pipelines, ensuring efficient data extraction, transformation, and loading (ETL) processes.• Apply advanced statistical models to evaluate and improve the accuracy of machine learning algorithms and addressing.• Work closely with business stakeholders to define key performance indicators (KPIs) and develop data-driven strategies for achieving business objectives.• Create and maintain real-time data analytics solutions using streaming data technologies such as Apache Kafka and Apache Flink.• Conduct comprehensive data cleaning and validation, identifying and rectifying data quality issues to ensure reliable insights.• Lead A/B testing initiatives, designing experiments and analyzing results to guide product and marketing decisions.• Develop custom data connectors and integrations, enabling seamless data flow between different systems and platforms.• Collaborate with data analysts to create interactive and user-friendly dashboards, empowering non-technical users to explore data independently.• Implement natural language processing (NLP) techniques for sentiment analysis and text classification, enhancing customer feedback analysis.• Perform root cause analysis on data anomalies and outliers, proactively identifying issues and proposing data-driven solutions.• Design and maintain scalable data warehouses, implementing data modeling and schema design best practices for optimal performance.

Ahmedabad, Gujarat, India

• Collaborate with data engineers to design and implement data pipelines, ensuring efficient ETL processes.• Develop and maintain data warehouses, optimizing data modeling and schema design.• Extract, transform, and load data into analysis-ready formats for data analysts.• Monitor data pipeline performance and resolve issues, ensuring data availability.• Conduct data validation and quality checks, identifying and rectifying anomalies.• Assist data analysts in creating and maintaining data reports and dashboards.• Implement data security measures, including encryption and access controls.• Automate data tasks and maintenance processes to increase efficiency.• Design and evaluate data backup and disaster recovery strategies.• Collaborate on data architecture discussions, aligning data engineering with analytical needs.• Utilize SQL and scripting languages for data manipulation and automation.• Apply data integration tools like Apache Sqoop and Talend to streamline data processes.

Science, A

A1

Bachelor'S Degree, Instrumentation Technology/Technician

Master'S Degree, Analytics, 3.71/4.00