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Data with less than a year in SQL & 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
Motivated and detail-oriented aspiring Data Analyst with knowledge of SQL, Excel, Power BI, and Python. Skilled in data cleaning, visualization, and deriving meaningful insights from datasets. Strong analytical and problem-solving abilities with a passion for transforming raw data into business decisions. Quick learner, adaptable, and eager to contribute to a growth-oriented organization while enhancing technical and analytical skills.
Lnct group of college
Bachelors of technology
August 1, 2022 – June 30, 2026
Morning star Sr. Secondary school
12th
June 1, 2020 – May 31, 2021
Maharishi Vidya mandir
10th
June 1, 2018 – May 31, 2019
Sales Performance Analysis Dashboard
June 1, 2026 – Present
Analyzed 10,000+ sales records using SQL and Python. Built interactive Power BI dashboard with KPI tracking. Identified top-performing regions improving sales insights by 20%.
HR Analytics Dashboard
June 1, 2026 – Present
Analyzed large-scale sales datasets using SQL and Python to identify revenue trends, customer behavior, and product performance. Performed data cleaning, transformation, and exploratory data analysis using Python libraries such as Pandas and NumPy. Designed an interactive Power BI dashboard with KPIs, sales forecasting, and regional performance insights.
Cultural Fit Analysis
The candidate's projects demonstrate a focus on practical data analysis applications (Sales Performance, HR Analytics), which aligns with a results-oriented culture. The use of diverse tools (SQL, Python, Power BI, Excel) suggests adaptability and a willingness to learn new technologies. However, without professional experience, the breadth of exposure to different team dynamics and organizational cultures is limited.
Soft Skills & Operational Fit
The candidate lists several soft skills such as Communication Skills, Analytical Thinking, Problem Solving, and Adaptability. These are crucial for a data role, indicating a potential for good operational fit and collaboration. However, these are self-declared and not validated by assessments.