Data Science with less than a year in data analysis, BI, and Node.js development.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CS student who enjoys turning messy data into something useful. I have internship experience collecting, cleaning and analysing data, building dashboards that non-technical people can use. I like understanding the user problem behind the data, not just the data itself.
Lok Jagruti Kendra University
B.E · Computer Science and Engineering
August 1, 2023 – Present
Tint's Studio
Backend Developer Intern
April 1, 2026 – Present
India
Honeybee Digital
Data Science Intern
December 1, 2025 – February 1, 2026
India
Amazon Sales Data Analysis
June 25, 2026 – Present
Started with a business question about what actually drives revenue on Amazon and worked backwards into the data rather than exploring blindly. Cleaned and analysed 42K+ product records using Python to study pricing trends, discount impact, and category-level performance. Built visual reports with Matplotlib and Seaborn that made the findings clear enough for someone without a data background to act on.
View ProjectBitcoin Market Sentiment Analysis
June 25, 2026 – Present
Analysed how market sentiment affects trading behaviour and profitability by combining Fear & Greed Index data with 50K+ historical trade records. Found clear patterns between sentiment shifts and trade outcomes and presented them visually in a way that was easy to interpret and act on.
View ProjectFix My City
June 25, 2026 – Present
Built real-time dashboards and heatmaps to visualise civic issue data across the city so admins could spot problem areas without manually going through reports. Developed NLP models to classify and summarize incoming reports automatically, which made it much easier to identify patterns at scale. The whole product started from understanding user pain points first and then figuring out what data was needed to address them.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of applications for data science, from e-commerce analysis to financial sentiment and civic issue resolution. This breadth, combined with an interest in understanding user problems, suggests a proactive and adaptable individual who could fit well into a team that values impact-driven work. The current Backend Developer internship also indicates a willingness to explore different technical areas, which can be a positive for cross-functional collaboration.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through clear project descriptions and an emphasis on understanding stakeholder needs. The ability to document processes and present findings to non-technical audiences suggests good operational fit. The 'Fix My City' project highlights problem-solving and initiative.