Data analyst

Data Analytics Mumbai, Maharashtra, India

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Summary

Work Experience( 2 years):
Data Analyst at Estimators Ltd, Pune (1+ Yr)
Completed data-driven projects, resulting in 100% client satisfaction.
Reduced data processing time by 20% through SQL, Python, Tableau and Excel data analysis and extraction.
Played a key role in project problem understanding, data collection, quantity estimation, and report building, resulting in 15% improvement in project efficiency.

Data Scientist Intern @ Intellipaat (7 months)
Data Science Intern with experience in data analysis, visualization & predictive modeling.
Developed machine learning models to analyze and predict business trends,
demonstrating strong problem-solving and analytical skills.

Virtual Experience Program (Projects):
Cognizant- Data Scientist Intern,
Standard Bank- Data Scientist Intern,
PWC- Data Analyst Intern, etc

I'm passionate about the Data Science & Machine Learning field. Qualified in GATE 2021 & got within TOP 5% of All India Rank (AIR).

Well versed with softwares like Excel, Python programming and its libraries such as Numpy, pandas, matplotlib, Scikit-Learn, TensorFlow, pytorch, etc, & other softwares like
MySQL, Tableau, Power BI, MS SQL server etc.

Expectations

As a data scientist/ analyst, my expectations from a new job would typically include the following:

Access to Quality Data: I would expect to work with high-quality data that is relevant to the business problem and well-organized.

Clear Business Objectives: It is important to have a clear understanding of the business objectives and goals that the data science work is meant to support. This will help me to align my work with the broader goals of the organization.

Access to Appropriate Tools and Infrastructure: Having access to the right tools and infrastructure, such as computing resources and data storage, is essential for carrying out data science tasks effectively.

Opportunities for Growth and Learning: I would expect a new job to provide opportunities for learning new skills and developing professionally, whether through training, mentorship, or opportunities to work on challenging projects.

Collaborative Work Environment: Collaboration is an essential part of data science work. I would expect to work in an environment that fosters collaboration, encourages communication and information sharing, and allows for constructive feedback.

Impactful Work: I would expect to work on projects that have a measurable impact on the organization and contribute to the bottom line. This would help to keep me motivated and engaged in my work.