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Data Science with less than a year in SQL, Python, and Power BI for data-driven insights.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To leverage my analytical skills and knowledge of data analysis tools to contribute to organizational growth. I aim to utilize my expertise in SQL, Python, and Power BI to analysed data, generate insights, and support data-driven decision making while continuously improving my analytical abilities and contributing to the success of the organization
B.K Birla College, Kalyan Mumbai University
M.Com · E-Commerce
August 1, 2024 – June 30, 2026
K. V. Pendharkar College, Dombivli Mumbai University
B.Com · Account & Finance
August 1, 2021 – June 30, 2024
Netflix Performance Analysis - Power BI
June 1, 2026 – Present
Analysed 8,000+ Netflix records to identify trends in genres, ratings, and release years, built interactive Power BI dashboards with slicers and KPIs Identified top-performing genres and content types based on user ratings Improved decision-making visibility by 30% through dynamic visuals.
E-Commerce With SQL
June 1, 2026 – Present
Designed relational database schema (Customers, Orders, Products, Order Items) Performed revenue and customer analysis using SQL queries Identified top-selling products and high-value customers Generated monthly and category-wise sales reports.
View ProjectE-Commerce EDA – Python
June 1, 2026 – Present
Cleaned and analysed 50,000+ sales records using Pandas & NumPy Performed customer behaviour and sales trend analysis Identified top-selling products and revenue patterns, Visualized insights using Matplotlib & Seaborn for stakeholder reporting.
Data Analytics
Deloitte
June 1, 2026 – Present
Data Analytics
Quantium
June 1, 2026 – Present
GEN AI Power Data Analytics
Tata Group
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are all academic, focusing on common data analysis scenarios (e-commerce, media performance). The listed certifications from Deloitte, Tata Group, and Quantium suggest an interest in industry-relevant training. The breadth of tools and techniques (SQL, Python, Power BI, ML concepts) indicates a willingness to learn and adapt, which aligns with a growth-oriented culture. However, the lack of professional experience means there's no direct evidence of collaboration or working within a team structure, which is crucial for cultural fit in many organizations.
Soft Skills & Operational Fit
The candidate lists 'Analytical Thinking', 'Quick Learner', 'Learn New Technologies', 'Problem Solving', and 'Able to Work Independently' as soft skills. These are generally positive attributes for a data science role, indicating a proactive and self-sufficient approach. However, without practical experience or specific examples, it's difficult to assess the depth of these skills in an operational context.