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Data Analyst with less than a year in Python, SQL, and Power BI.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Detail-oriented and analytical Computer Science Engineering graduate with a strong foundation in Python, SQL, and Power BI. Adept at leveraging Python libraries (Pandas, NumPy) and SQL queries to clean, manipulate, and extract meaningful insights from large datasets. Passionate about automating data workflows, building interactive dashboards, and transforming raw data into strategic business decisions.
Shri Vaishnav Vidyapeeth Vishwavidyalaya
B.Tech · Computer Science Engineering (CSE)
August 1, 2018 – June 30, 2022
Netflix Advanced Data Analysis & Automation
June 1, 2022 – Present
Exploratory Data Analysis (Python): Utilized Python (Pandas and NumPy) to perform a deep-dive data exploratory analysis, efficiently handling missing values, standardizing mixed data types, and structuring raw datasets for reporting. Data Manipulation & Querying (SQL): Queried and aggregated movie/TV show metrics using complex SQL operations including Joins, subqueries, and Group By functions to resolve analytical tracking questions on top genres and country performance. Interactive Visualization (Power BI): Formatted and parsed 8,000+ data entries natively within Power Query, deploying an interactive multi-page dashboard detailing content distribution, viewer patterns, and historical growth trends.
Data Analytics Certification
Cypher Analytica
June 1, 2026 – Present
SQL Basics & Intermediate
HackerRank Standard
June 1, 2026 – Present
Power BI for Data Analysis
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's single personal project, 'Netflix Advanced Data Analysis & Automation,' demonstrates a focused interest in data analysis, aligning well with the target role. The project showcases a breadth of relevant technical skills (Python, SQL, Power BI). However, the lack of diverse projects or professional experience limits the ability to assess adaptability to different team environments or business contexts. The candidate's interests in 'Data Pipeline Automation,' 'Predictive Analytics,' and 'Data Storytelling' suggest a proactive and growth-oriented mindset, which could contribute positively to cultural fit.
Soft Skills & Operational Fit
The candidate's professional summary highlights being 'detail-oriented and analytical' and 'passionate about automating data workflows,' which are positive indicators for operational fit in a data analyst role. The project description shows a structured approach to data analysis, suggesting good problem-solving and execution skills. However, without specific behavioral or psychometric test results, a deeper assessment of soft skills like teamwork, stress handling, or communication clarity in a professional setting cannot be made.