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Sagar Suchak

Sagar Suchak

Data Science

Technology / Internet

Hendon, Barnet, Greater London

Social


About Sagar Suchak:

As a dedicated and analytically driven MSc. Data Science candidate with a strong foundation in Computer Science engineering, I bring a wealth of experience in data analytics and advanced methodologies. My expertise spans across leveraging data science to drive business growth, enhance operational efficiencies, and deliver strategic insights. I have a proven track record of successful project delivery, team leadership, and strategic decision-making in data-centric environments.

My proficiency in Python, SQL, Altair, PowerBI, and Tableau enables me to extract and visualize data effectively, supporting informed decision-making processes. Additionally, my hands-on experience with machine learning algorithms for predictive modeling and pattern recognition, coupled with skills in database management and statistical analysis, positions me as a versatile and results-oriented professional.

Through my various roles, from Assistant Manager at Extra Marks Education to Business Development Executive positions at Codingal Technologies, Gajanand Industries, and BYJUS, I have honed my abilities in customer engagement, sales strategy optimization, and market analysis. My role as a Sports Analyst at HUDL Sportstec further refined my skills in performance analysis and strategic improvement.

I am passionate about utilizing my skills to create actionable insights, improve customer engagement, and enhance product performance. My commitment to continuous learning is demonstrated through certifications in Data Science with Python and Data Mining, and I am adept at using advanced tools such as Power BI, Tableau, and Databricks.

I am eager to bring my technical expertise, strategic mindset, and strong problem-solving skills to a dynamic team, where I can contribute to driving impactful data-driven decisions and fostering business growth.

Experience

Throughout my professional journey, I've cultivated a diverse skill set, blending technical acumen with analytical prowess. Notably, I've excelled in various roles, from Assistant Manager at Extra Marks Education to Business Development Executive at Codingal Technologies and Gajanand Industries, and Sports Analyst at HUDL Sportstec. In these positions, I've honed my skills in customer relationship management, sales analysis, and company performance evaluation using tools like Tableau and Power BI. My contributions have consistently resulted in improved customer satisfaction, sales efficiency, and revenue generation.

Beyond technical expertise, I've actively engaged in leadership roles and community initiatives. Serving as the Marketing Secretary for the Computer Engineering Student Society and volunteering at Asha Kiran Orphanage and Childcare, I've demonstrated my commitment to fostering collaboration and social responsibility.

Certified in Data Science with Python and Data Mining, I possess additional skills in Advanced Excel, API, and Web Scraping for data gathering, along with a strong understanding of sales and market development.

In essence, my professional journey reflects not only my analytical prowess and technical abilities but also my leadership qualities and dedication to continuous improvement. I am poised to bring these strengths and experiences to any organization, contributing effectively to its succes

Education

My MSc. in Data Science from Middlesex University, London, UK, serves as the cornerstone of my relevant education for the Data Analyst role. Through this program, I acquired comprehensive skills in data analysis, statistical techniques, and database management. Additionally, my hands-on experience with projects like "Analyzing Company Performance Using Ratios" demonstrates my ability to interpret data, analyze results, and develop databases to optimize statistical efficiency and quality. With proficiency in Python, SQL, and Tableau, I am well-equipped to meet the requirements of this role, including interpreting trends in complex datasets and supporting the development of models to capture various healthcare operations.

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