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High-performing Sr. Sales Development Representative with a track record of exceeding targets and rapid advancement. Contributed over $3.2M in pipeline in 2024, earning recognition as the top global contributor in Q1. Promoted twice within a year—achieving Practitioner status in six months and Senior SDR by April 2024. Experienced in driving growth across ANZ and MEA, with a focus on impactful, ROI-driven results.

As demonstrated in my work history, I've never been afraid to jump in, get my hands dirty, and work as hard as I can to see a job through. It is my goal to find the right team where I can leverage my energy, work ethic, and desire to learn, to continue developing in my career while being an asset to the company's mission.

A strong curriculum in business analytics and a passion for transforming data into actionable insights. Seeking an opportunity to apply my analytical skills and contribute to a dynamic organization.
• Knowledge of Data Mining methodologies and concepts, including data mining architecture, association rules, classification and clustering, decision trees, neural networks
• Knowledge in Analytics using R, multi-dimensional scaling, regression models, principal component analysis (PCA)
• Knowledge in Python – Create scripts to collate and analyze data, work with python math and utility libraries, building machine learning models
• Apply Python, spreadsheets, and BI tooling proficiently to create visualizations.
• Have very good learning in Python
• Very good knowledge in visualization tool Power BI.
• Thorough Understanding in statistical concepts, probability theory, hypothesis testing.
• Expertise in data analysis using advanced excel techniques – look up functions, pivot table, pivot charts and dashboards.
• Good knowledge in Time Series Econometrics – ARM, ARIMA, Volatility Estimator, Auto Regressive Conditional Heteroscedasticity (ARCH)
• Hands-on experience in working in SAS – predictive modelling, decision trees, neural networks.

Detail-oriented and reliable Accounts Receivable Specialist with a background in customer service, team leadership, and healthcare operations. Demonstrated success in fast-paced environments with 6+ years of experience managing teams, resolving conflicts, and handling high-volume transactions. Currently pursuing a Bachelor's degree in Business Administration with a focus on management and operations. Expanding expertise through a Data Analytics Internship with ASU’s Global Career Accelerator.

Connor Maclaughlin

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Data analytics intern

Account Manager

Merchandiser and sales assistant

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Bachelor of science and business Administration - entrepreneurial studies and sales minor

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Data analytics intern

Account Manager

Merchandiser and sales assistant

Bachelor of science and business Administration - entrepreneurial studies and sales minor

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