Ashutosh SinghaniaAS
Open to opportunities

Ashutosh Singhania

@ashutoshsinghania

Aspiring data analyst with expertise in machine learning and data visualization.

India
Message

What I'm looking for

I am looking for a role that fosters growth, encourages collaboration, and allows me to apply my analytical skills to real-world challenges.

I'm a passionate and driven individual currently pursuing a Bachelor of Engineering in Artificial Intelligence and Data Science. With a strong academic background and a CGPA of 8.20, I have honed my skills in programming languages such as C/C++ and Python, as well as various data analysis tools including Excel and Power BI.

In my current role as a Business Analyst at Bewakoof, I leverage real-time business data to create insightful dashboards that facilitate informed decision-making. My projects, such as AgroPredict, showcase my ability to develop machine learning models that enhance agricultural practices through data-driven insights. I thrive in collaborative environments, as demonstrated by my volunteer work with the NSCC Core Team, where I help organize tech events to promote literacy and collaboration among students.

Experience

Work history, roles, and key accomplishments

BE
Current

Business Analyst

Bewakoof

May 2024 - Present (1 year 2 months)

Worked on real-time business data and reporting, utilizing Excel and Power BI to analyze data and build dashboards that facilitated quicker and better decision-making. Collaborated closely with marketing and product teams to identify trends and suggest improvements for performance.

NS
Current

Core Team Member

NSCC

Mar 2023 - Present (2 years 4 months)

Collaborated with team members to organize tech events, promoting tech literacy and student collaboration. Played a key role in designing and implementing initiatives, supporting the club’s mission to empower students through technology.

Education

Degrees, certifications, and relevant coursework

NT

NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY

Bachelor of Engineering, Artificial Intelligence and Data Science

Grade: 8.20/10.0

Pursued a Bachelor of Engineering in Artificial Intelligence and Data Science. Gained a strong foundation in AI/ML concepts, data structures, and algorithms. Achieved a CGPA of 8.20/10.0.

Tech stack

Software and tools used professionally

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