Data Analyst | Business Analyst | Business Intelligence | Data Science | Python, R , SQL

Summary

A passionate and accomplished data analytics professional with a strong foundation in Business Analytics. My journey began at The University of Texas at Dallas, where I pursued a Master of Science in Business Analytics and achieved a remarkable GPA of 3.95/4.00. During my academic journey, I received the honor of being a Scholar with High Distinction and was recognized with the Dean's Excellence Scholarship and JSOM Fellowship Award.

Throughout my educational journey, I honed my technical skills in various analysis tools, including RStudio, Tableau, PowerBI, and programming languages like SQL, R, and Python. I also delved deep into advanced statistical techniques such as hypothesis testing, regression analysis, probability, and machine learning, equipping myself with the necessary tools to tackle complex data-driven challenges.

My professional experience includes a successful stint as a Data & Business Analyst Intern at OutSystems in Dallas, Texas. During my time there, I crafted a compelling Proof of Concept (POC) that measured customer-level Gross Profitability. I presented my insights to senior management, leading to enhanced sales strategies and more informed pricing decisions. Utilizing my expertise in SQL, I optimized data extraction for business intelligence generation, and I built real-time PowerBI dashboards that provided critical updates on the company's customer base, financial performance, and product sales.
As a Business Analyst at Reliance Industries Ltd in Chennai, India, I made a significant impact on the company's growth trajectory. By developing Power BI dashboards and analyzing market trends and customer purchasing behavior, I contributed to record-high sales, generating an impressive $56M in annual revenue and boosting sales by 11%. My work with SAP CRM allowed me to collect and analyze historical data, leading to a 15% increase in the customer base. I also formulated insightful Price Analysis reports, which led to the implementation of performance discounts and resulted in 100% client retention in FY 2019-20. I took charge of managing and analyzing data for over 350 clients, consistently exceeding the achievement of annual procurement plans by 7%. My mentoring role for trainees and summer interns further showcased my leadership and analytical abilities.

Outside of my academic and professional commitments, I actively participated in extracurricular activities, serving as a Mentor at Business Analytics Leadership Council and as an Outreach Officer at Code.exe Club at The University of Texas at Dallas. These roles allowed me to refine my leadership and team-building skills.

In summary, my professional background and accomplishments reflect a dedicated and results-driven individual with a passion for data analytics. With my comprehensive skill set and experience, I am eager to continue making impactful contributions in the field of Business Analytics and data-driven decision-making.

Expectations

In my new role, I anticipate immersing myself in the company's business objectives, industry trends, and competitive landscape. I will leverage my expertise in data analysis to derive valuable insights from diverse data sources, employing statistical methods, data visualization, and other analytical techniques to identify patterns, trends, and potential opportunities. Embracing challenges and complex questions, I look forward to showcasing my innovative problem-solving skills. Collaborating seamlessly with cross-functional teams, including data engineers, business stakeholders, and fellow analysts, will be a priority. Moreover, I am eager to remain at the forefront of advancements in data analysis and business intelligence, consistently updating my knowledge to drive optimal outcomes. Ultimately, I am excited to actively identify opportunities for improvement and contribute significantly to the organization's success.

Employment Preferences
Expected Base Salary

**,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

2 years

Startup Experience

1 year

Big-Tech Companies

no experience

Enterprise Experience

1 year
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