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Data Analyst with less than a year in Python & SQL for Analytics & Machine Learning.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Analyst and Data Science Enthusiast with a passion for extracting actionable insights from complex datasets. Possessing strong skills in SQL, Excel, Python, and Tableau, with hands-on experience in data cleaning, EDA, visualization, and machine learning techniques. Proven ability to translate data into business-driven decisions through projects in retail sales, e-commerce, and content analysis.
NMAM Institute of Technology, Nitte
Bachelor of Engineering · ECE
January 1, 2020 – January 1, 2024
Premier S&C PU College, Karwar
12th
June 1, 2018 – March 1, 2020
St. Joseph's English Medium High School Karwar
10th
June 1, 2017 – March 1, 2018
Ai Variant
Data Science Intern
September 1, 2024 – March 1, 2025
India
Netflix Content Analysis Dashboard | Tableau
June 1, 2026 – Present
Examined 8K+ Netflix titles to uncover trends across genres, ratings, countries, and release years. Designed interactive Tableau dashboards using maps, charts, and filters for content analysis. Assessed content distribution and genre performance through visual analytics and exploratory analysis. Communicated business insights on content growth, audience ratings, and regional availability patterns.
View ProjectRetail Sales Insights Using SQL
June 1, 2026 – Present
Analyzed retail sales data using SQL to evaluate revenue, customer, and product performance. Utilized joins, aggregations, filtering, and GROUP BY to generate business KPIs and reports. Identified top-performing customers, products, categories, and regions through exploratory sales analysis. Derived actionable insights from transactional datasets to support data-driven decision making.
View ProjectGlobal Sales Dashboard | Power BI
June 1, 2026 – Present
Created an interactive Power BI dashboard to track sales, customer segments, and regional trends. Configured charts, slicers, and KPI indicators to monitor category-wise sales and monthly trends. Monitored customer behavior and regional performance using interactive dashboards and reporting. Presented business insights to support reporting and data-driven decision-making.
View ProjectE-Commerce Revenue Analysis Using Python
June 1, 2026 – Present
Performed EDA on 500 customer records using Python, Pandas, and NumPy. Visualized customer behavior and revenue patterns using Matplotlib, Seaborn, and correlation analysis. Applied Linear Regression to predict yearly customer spending using behavioral variables. Evaluated model accuracy using MAE, MSE, and R² metrics, achieving an R² score of 0.98.
View ProjectAWS Cloud Practitioner Certification
Unknown
June 1, 2026 – Present
Certified Data Science
ExcelR
June 1, 2026 – Present
Master's Program in Data Science
Nasscom Future Skills Prime
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a diverse application of data analysis skills across different domains (Netflix content, retail sales, e-commerce), indicating adaptability. The target role of 'Data Analyst' aligns well with the skills and experience showcased in projects and the internship. The breadth of tools and techniques used (SQL, Python, Tableau, Power BI, various ML concepts) suggests a willingness to learn and apply different approaches, which is positive for cultural fit in a dynamic environment. However, the experience level is low, which might require more mentorship and guidance.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to communicate business insights and support data-driven decision-making, suggesting a foundational level of operational fit. The internship experience also highlights skills in improving data quality and insight discovery, which are valuable for a data analyst role. However, without specific psychometric test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be made.