Saumeet Pathak
@saumeetpathak
Data Analyst & Software Engineer focused on actionable insights and scalable dashboards.
What I'm looking for
I’m a results-driven Data Analyst & Software Engineer (2025 Graduate) with expertise in Python, SQL, Power BI, and full-stack development using the MERN stack. Through my Data Analyst Intern work, I analyze structured datasets to generate actionable insights, build Power BI dashboards, and automate reporting for faster stakeholder decision-making.
I also strengthen the analytics-to-engineering bridge by improving real outcomes: I improved data quality by 25% through ETL workflows, reduced frontend page load time by 20% as an SDE Intern, and delivered customer retention insights that improved retention by 15% in a shopping behavior analysis project. I thrive on EDA, data cleaning, data modeling, and KPI reporting—turning messy data into scalable, business-ready solutions.
Experience
Work history, roles, and key accomplishments
Data Analyst Intern
Integritas Consultants
Dec 2025 - Present (6 months)
Analyzed structured datasets with Python (Pandas) to produce actionable insights for business decisions. Built Power BI dashboards and automated reports, and improved data quality by 25% through data cleaning and ETL workflows.
Software Engineer Intern
Nexera Technologies
Jun 2025 - Oct 2025 (4 months)
Developed scalable web applications using React.js, Node.js, and Express.js for 500+ users. Built and integrated RESTful APIs and optimized frontend performance to reduce page load time by 20%.
Education
Degrees, certifications, and relevant coursework
K. K. Wagh Institute of Engineering
Bachelor of Engineering, Artificial Intelligence & Data Science
2021 - 2025
Grade: CGPA: 79
Earned a B.E. in Artificial Intelligence & Data Science. Completed coursework and projects aligned to data analytics and AI.
Nutan Vidyamandir
Higher Secondary Certificate, Higher Secondary Education
2019 - 2021
Grade: 86.60%
Completed Higher Secondary Certificate studies at Nutan Vidyamandir. Achieved a final score of 86.60%.
Availability
Location
Authorized to work in
Job categories
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