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Gangānagar
ANMOL SACHDEVA

ANMOL SACHDEVA

Full stack Data Science
Gangānagar, Ganganagar

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About ANMOL SACHDEVA:

I am a recent graduate, proficient in Python, machine learning algorithms, SQL, and Excel, having earned my full-stack data science certification from Almabetter. My accomplishments include an exploratory data analysis project on Play Store reviews. Furthermore, I have experience with projects involving stock price prediction using supervised learning (YES Bank), and credit card default prediction using unsupervised learning.

Experience

Seeking a challenging data scientist role in a dynamic organization where I can effectively apply my analytical and technical skills to extract valuable insights from complex data sets, facilitate data-informed decision-making, and continuously expand my knowledge. As a motivated and detail-oriented data scientist, I specialize in developing innovative solutions for business challenges through statistical analysis, machine learning, and data visualization techniques. I am enthusiastic about collaborating with cross-functional teams to create and implement data-driven solutions that optimize organizational performance and deliver guantifiable outcomes.

 

 

I am seeking a position that offers learning opportunities and mentorship within a collaborative environment. I am drawn to challenging projects that will allow me to grow in my career. The company culture is crucial to me as is a clear and promising career path. A competitive compensation package and benefits are also important considerations in my job search.

 

Education


- BSc and completion of a comprehensive Data Science Certification Course with AlmaBetter.
- Proficiency in data analysis, visualization, and statistical modeling techniques, demonstrated through successful projects and academic achievements.
- A strong command of programming languages like Python, with a keen eye for writing clean and efficient code.
- Hands-on experience in utilizing machine learning algorithms to extract valuable insights from complex datasets.
 

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