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Data Analyst with less than a year in SQL & Python
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
B.Tech Computer Science graduate skilled in SQL, Python, Power BI, Excel and Tableau. Completed projects by transforming and analysing 100k+ records to uncover meaningful insights. Proficient in data cleaning, data modelling, data analysis, ETL, DAX and building dashboards that help teams make better decisions. Eager to leverage technical expertise and problem-solving skills in a data analyst role to deliver clear and practical insights that create real business impact.
Priyadarshini Institute of Science and Technology for Women, Khammam
Bachelor of Technology (B.Tech) · Computer Science Engineering
August 1, 2019 – June 30, 2023
Sri Chaitanya Junior College, Khammam
Intermediate (MPC) · Mathematics, Physics, Chemistry
June 1, 2017 – May 31, 2019
Saint Agnes High School, Dornakal
Secondary School Certificate
June 1, 2016 – May 31, 2017
Brazilian E-commerce Analysis
January 1, 2023 – January 1, 2023
Analysed 100K+ e-commerce records to understand sales trends, customer behaviour, and delivery performance. Built a multi-page interactive dashboard with filters, slicers, and navigation to track revenue, top product category, and geographic insights. Improved reporting efficiency by 30% by cleaning and transforming data using Power Query and DAX. Identified key business insights, such as top revenue categories, high delivery delay regions, and customer review patterns to support better decisions.
View ProjectCustomer Shopping Behaviour Analysis
January 1, 2023 – January 1, 2023
Analysed customer transactions to understand spending habits, product trends, and customer behaviour. Cleaned and prepared the data by handling missing values and creating useful features like customer segments. Built an interactive Power BI dashboard to track revenue, customer segments, and subscription patterns. Discovered subscribed customers generated 2.3x more revenue than non-subscribed customers, informing retention strategy.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a proactive approach to learning and applying data analysis skills. The academic projects are relevant to a Data Analyst role, showing initiative and a foundational understanding of business-oriented data challenges. The breadth of tools used (Python, SQL, Power BI, Tableau, Excel) indicates adaptability and a willingness to explore different technologies. However, the lack of professional experience or diverse project types beyond academic settings limits the assessment of cultural fit in a corporate environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate data into actionable insights, which suggests good problem-solving and analytical thinking. The focus on improving reporting efficiency and informing retention strategy points to a results-oriented approach. However, without direct work experience, it's difficult to assess collaboration, stress handling, or communication in a professional setting.